This story was originally published on HackerNoon at: https://hackernoon.com/98percent-of-data-strategies-fail-lets-fix-it.
Learn how to fix failing data strategies using the '5 W's' framework. Transform your approach to KPIs and drive real business value with actionable insights.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-strategy, #kpi-management, #business-intelligence, #data-driven-decisions, #executive-leadership, #analytics-roi, #data-roi, #data-governance, and more.

This story was written by: @liorb. Learn more about this writer by checking @liorb's about page, and for more stories, please visit hackernoon.com.

Even the most well-equipped organizations can find themselves serving up a mess instead of actionable insights. Here's a step-by-step process of fixing your data strategy, ensuring that you're serving up actionable data instead of a recipe for disaster. In the following sections, we'll dive into the common data strategy nightmares.

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-measure-the-results-of-in-app-events-when-onelinks-dont-work.
How To Measure The Results Of In-App Events When Onelinks Don’t Work
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #analytics, #onelink, #inapp-events, #marketing, #app-store, #mobile-apps, #digital-marketing, #good-company, and more.

This story was written by: @socialdiscoverygroup. Learn more about this writer by checking @socialdiscoverygroup's about page, and for more stories, please visit hackernoon.com.

Many app developers and marketing managers face the challenge of accurately measuring the impact of In-App Events (IAEs) on the App Store. While IAEs have proven effective for re-engaging users, attracting new downloads, and increasing revenue, traditional tracking methods like OneLink don’t actually include IAEs. Major mobile attribution platforms confirm that currently there is no way to track IAEs properly. At Social Discovery Group, our portfolio of 60+ dating and entertainment brands is supported by a team of over 100 marketers dedicated to app growth and development. We’re used to measuring all our marketing efforts in terms of financial value. Eventually, we’ve managed to develop our own composite way to evaluate IAEs, and are going to share it with you.

This story was originally published on HackerNoon at: https://hackernoon.com/when-and-when-not-to-use-apache-kafka-as-a-database.
Discover how Apache Kafka’s data retention and querying capabilities make it similar to a database and learn when to use Kafka for database-like use cases.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #apache-kafka, #kafka-vs-database, #kafka-as-a-database, #real-time-data-processing, #database-management, #kafka-querying-capabilities, #open-source-event-streaming, #apache-kafka-for-data-storage, and more.

This story was written by: @aahil. Learn more about this writer by checking @aahil's about page, and for more stories, please visit hackernoon.com.

Apache Kafka, while not a traditional database, has database-like properties such as data retention and querying capabilities. This article explores when Kafka can be used for database-like purposes and when it is best suited as a streaming platform.

This story was originally published on HackerNoon at: https://hackernoon.com/random-forest-regression-in-r-code-and-interpretation.
This story looks into random forest regression in R, focusing on understanding the output and variable importance.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-science, #random-forest, #regression, #variable-importance, #decision-tree, #ensemble-modeling, #blogging-fellowship, #hackernoon-top-story, #hackernoon-es, and more.

This story was written by: @nikolao. Learn more about this writer by checking @nikolao's about page, and for more stories, please visit hackernoon.com.

Random forest is one of the most popular algorithms for multiple machine learning tasks. This story looks into random forest regression in R, focusing on understanding the output and variable importance. The package with the original implemetation is called randomForest.

This story was originally published on HackerNoon at: https://hackernoon.com/9-best-data-engineering-courses-you-should-take-in-2022.
In this listicle, you'll find some of the best data engineering courses, and career paths that can help you jumpstart your data engineering journey!
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-engineering, #data-warehouses, #aws-certification, #data-engineering-courses, #data-science, #artificial-intelligence, #hackernoon-top-story, #blogging-fellowship, and more.

This story was written by: @balapriya. Learn more about this writer by checking @balapriya's about page, and for more stories, please visit hackernoon.com.

Recently, data engineering has become an increasingly coveted space. With an average salary of over 112K USD, the demand for skilled data engineers is growing with every passing day. Data engineers combine their data and software engineering expertise to facilitate the data infrastructure of an organization. Are you an aspiring data engineer, or someone with experience in the data space—looking to pivot into data engineering?  In this list, you'll find some of the best data engineering courses and career paths that can help you jumpstart your data engineering journey!

This story was originally published on HackerNoon at: https://hackernoon.com/a-beginners-guide-to-understanding-unstructured-data-analysis-with-langchain-and-deepinfra.
Let's learn how to extract insights from unstructured data with LangChain and DeepInfra.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-science, #ai, #artificial-intelligence, #guide, #tut, #python, #programming, #big-data, and more.

This story was written by: @mikeyoung44. Learn more about this writer by checking @mikeyoung44's about page, and for more stories, please visit hackernoon.com.

LangChain and DeepInfra are powerful tools for unstructured data analysis. We'll explore their capabilities, understand the importance of data-driven decisions, and learn how to extract valuable insights. Get ready to uncover hidden patterns and make informed choices using these powerful tools.

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-plot-a-decision-boundary-for-machine-learning-algorithms-in-python-3o1n3w07.
Classification algorithms learn how to assign class labels to examples (observations or data points), although their decisions can appear opaque.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-science, #machine-learning, #python3, #python-programming, #python, #python-top-story, #python-tutorials, #python-developers, #hackernoon-es, and more.

This story was written by: @kvssetty. Learn more about this writer by checking @kvssetty's about page, and for more stories, please visit hackernoon.com.

How To Plot A Decision Boundary For Machine Learning Algorithms in Python is a popular diagnostic for understanding the decisions made by a classification algorithm is the decision surface. This is a plot that shows how a trained machine learning algorithm predicts a coarse grid across the input feature space. A decision surface plot is a powerful tool for understanding how a given model ‘sees’ the prediction task and how it has decided to divide up the feature space by class label. The complete source code is available at my git repository.

This story was originally published on HackerNoon at: https://hackernoon.com/demystifying-dimensional-modelling-unveiling-the-what-why-and-whos.
An Introduction to the art and science of dimensional modeling with relational databases
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-science, #data, #database, #data-engineering, #big-data, #dimensional-modeling, #kimball, #relational-database, and more.

This story was written by: @disa. Learn more about this writer by checking @disa's about page, and for more stories, please visit hackernoon.com.

Dimensional modelling is a database design philosophy. It is the most widely used style of relational database. It has all the basic ingredients of a relational database i.e Primary keys, Foreign Keys and multiple tables. It’s different from your 3NF relational database majorly because of it's ease of understanding and its superior query performance.

This story was originally published on HackerNoon at: https://hackernoon.com/who-is-a-data-engineer-and-what-do-they-do.
As a data engineer, your job involves handling lots of information (we call it data).
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-engineer, #data-engineer-role, #data-engineer-responsbility, #big-data-engineer, #data, #data-science, #big-data, #database, and more.

This story was written by: @satyapasupuleti. Learn more about this writer by checking @satyapasupuleti's about page, and for more stories, please visit hackernoon.com.

As a data engineer, your job involves handling lots of information (we call it data). You need to think about where all this information is coming from, what it looks like, and how it might need to be changed or fixed up. You also need to think about where it's going and what questions it can help answer.

This story was originally published on HackerNoon at: https://hackernoon.com/from-crashing-to-lift-off-how-to-thrive-as-the-first-data-scientist-in-a-startup.
This article draws from the game Factorio to illustrate the journey of a data scientist in a startup - from the initial, hands-on stage, moving towards automati
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-science, #startup, #professional-development, #startup-advice, #tech-careers, #career-advice, #team-productivity, #personal-development, and more.

This story was written by: @breus. Learn more about this writer by checking @breus's about page, and for more stories, please visit hackernoon.com.

This piece utilizes the game Factorio as a metaphor for a data scientist's progression in a startup, spanning four stages: Manual/Foundation, Initial Automation, Scale, and Flight. Each stage represents different facets of the journey - from scrappy, hands-on work, automating routine tasks, scaling for growth, to evolving in response to changing landscapes.

This story was originally published on HackerNoon at: https://hackernoon.com/data-driven-marketing-unleashing-the-power-of-big-data-for-targeted-campaigns.
In today's digital era, the abundance of data has transformed the way businesses approach marketing.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #big-data, #data-driven-marketing, #digital-marketing, #targeted-advertisement, #targeted-campaign, #power-of-happy-customers, #data-science, #data-analytics, and more.

This story was written by: @mubaywrites. Learn more about this writer by checking @mubaywrites's about page, and for more stories, please visit hackernoon.com.

Big data provides marketers with a treasure trove of information. By tapping into this wealth of data, businesses can better understand their customers, make informed decisions, and develop targeted campaigns. The benefits of data-driven marketing are far-reaching, from increased customer engagement and loyalty to improved conversion rates.

This story was originally published on HackerNoon at: https://hackernoon.com/the-ai-hierarchy-of-needs-18f111fcc007.
As is usually the case with fast-advancing technologies, AI has inspired massive FOMO , FUD and feuds. Some of it is deserved, some of it not — but the industry is paying attention. From stealth hardware startups to fintech giants to public institutions, teams are feverishly working on their AI strategy. It all comes down to one crucial, high-stakes question: ‘How do we use AI and machine learning to get better at what we do?’
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-science, #artificial-intelligence, #machine-learning, #big-data, #ai, #hackernoon-es, and more.

This story was written by: @mrogati. Learn more about this writer by checking @mrogati's about page, and for more stories, please visit hackernoon.com.

This story was originally published on HackerNoon at: https://hackernoon.com/3-best-ways-to-import-json-to-google-sheets-ultimate-guide-3k8s24ya.
3 ways to pull JSON data into a Google Spreadsheet
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-science, #data-analytics, #json, #google-sheets, #data-analysis, #rest-api, #programming, #programming-top-story, #web-monetization, and more.

This story was written by: @meelad-mashaw. Learn more about this writer by checking @meelad-mashaw's about page, and for more stories, please visit hackernoon.com.

You can get JSON data into Google Sheets by coding a script, using a no-code tool, or hiring a freelancer/developer to do it for you.

This story was originally published on HackerNoon at: https://hackernoon.com/a-leaders-guide-to-data-driven-success.
Transform data from a source of frustration into a powerful business tool with this practical guide for executives.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-strategy, #business-insights, #data-management, #data-literacy, #data-analytics, #business-growth, #information-overload, #business-strategy, and more.

This story was written by: @liorb. Learn more about this writer by checking @liorb's about page, and for more stories, please visit hackernoon.com.

Despite having more information than ever, making informed decisions seems increasingly challenging. This guide is designed to help you transform data from a source of frustration into a powerful tool for driving business growth. From my own experience, I've seen professionals dedicating up to 50% of their workweek to validating data.

This story was originally published on HackerNoon at: https://hackernoon.com/exploring-obyte-use-cases-programmable-payments-chatbots-and-beyond-part-i.
Whether you're new or experienced in crypto, Obyte provides an accessible and user-friendly environment for exploring the potential of decentralized apps.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #guide-to-dags, #distributed-ledger-technology, #how-does-dag-work, #user-experience, #obyte, #chatbots, #smart-contracts, #good-company, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-vi, #hackernoon-fr, #hackernoon-pt, #hackernoon-ja, and more.

This story was written by: @obyte. Learn more about this writer by checking @obyte's about page, and for more stories, please visit hackernoon.com.

Obyte is an open-source distributed ledger (DAG) system. DAGs can be used to pay for goods and services without using banks or middlemen. Obyte has many features and use cases to explore.

This story was originally published on HackerNoon at: https://hackernoon.com/a-professional-sports-gambler-used-analytics-to-turn-a-$700000-loan-into-more-than-$300-million.
Matthew Benham graduated from the world-renowned University of Oxford in 1989 with a degree in Physics.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #analytics, #behind-the-scenes, #inside-the-industry, #wild-truth-unveiled, #gambler-life, #sports-gambling-insights, #tech-twitter-thread, #sports, and more.

This story was written by: @techtweeter. Learn more about this writer by checking @techtweeter's about page, and for more stories, please visit hackernoon.com.

1) Let's start with some history... Matthew Benham graduated from the world-renowned University of Oxford in 1989 with a degree in Physics. He spent the next 12 years working in finance, eventually being named a VP at Bank of America. But in 2001, he decided to change careers.

This story was originally published on HackerNoon at: https://hackernoon.com/big-tech-companies-have-your-health-info-thanks-to-telehealth-startups.
But what patients probably don’t know is that WorkIt was sending their delicate, even intimate, answers about drug use and self-harm to Facebook...
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data, #data-privacy, #technology, #big-tech, #themarkup, #telehealth, #health, #healthtech, and more.

This story was written by: @TheMarkup. Learn more about this writer by checking @TheMarkup's about page, and for more stories, please visit hackernoon.com.

A joint investigation by STAT and The Markup found that 50 direct-to-consumer telehealth companies were leaking sensitive medical information to the world’s largest advertising platforms. Trackers on 25 sites, including those run by industry leaders Hims & Hers, Ro, and Thirty Madison, told at least one big tech platform that the user had added an item like a prescription medication to their cart, or checked out with a subscription for a treatment plan.

This story was originally published on HackerNoon at: https://hackernoon.com/advancing-user-data-governance-with-data-lineage.
This article will discuss how data lineage can help in user data governance and explore how serverless technology can be incorporated to achieve better results.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-lineage, #data-governance, #data, #data-science, #big-data, #data-management, #data-lifecycle-management, #optimization, and more.

This story was written by: @maharshijha. Learn more about this writer by checking @maharshijha's about page, and for more stories, please visit hackernoon.com.

Data has become an essential resource for businesses, driving decision-making and innovation. As the volume of data continues to grow, ensuring data quality and compliance is more important than ever. One way to achieve better data governance is through data lineage, which tracks the flow of data throughout an organization. This article will discuss how data lineage can help in user data governance and explore how serverless technology can be incorporated.

This story was originally published on HackerNoon at: https://hackernoon.com/solving-time-series-forecasting-problems-principles-and-techniques.
Explore time series analysis: from cross-validation, decomposition, transformation to advanced modeling with ARIMA, Neural Networks, and more.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-science, #timeseries, #ai, #machine-learning, #data-engineering, #feature-engineering, #ml-model, #data, and more.

This story was written by: @teenl0ve. Learn more about this writer by checking @teenl0ve's about page, and for more stories, please visit hackernoon.com.

This article delves into time series analysis, discussing its significance in decision-making processes. It elucidates various techniques such as cross-validation, decomposition, and transformation of time series, as well as feature engineering. It provides a deep understanding of different modeling approaches, including but not limited to, Exponential Smoothing, ARIMA, Prophet, Gradient Boosting, Recurrent Neural Networks (RNNs), N-BEATS, and Temporal Fusion Transformers (TFT). Despite the wide range of techniques covered, the article emphasizes the need for experimentation to choose the method that yields the best performance given the data characteristics and problem specifics.

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-manage-data-residency.
After explaining the theory behind Data Residency, It's time to get our hands dirty and implement it in a simple demo.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data, #data-storage, #apache-shardingsphere, #apache-apisix, #data-location, #data-residency, #apache, #optimization, and more.

This story was written by: @nfrankel. Learn more about this writer by checking @nfrankel's about page, and for more stories, please visit hackernoon.com.

In the previous post, I proposed a sample architecture where location-based routing happened at two different stages. In this post, we'll see how we can implement routing at the two levels. We'll use Apache ShardingSphere as an indirect layer between the application and the data sources.

This story was originally published on HackerNoon at: https://hackernoon.com/tales-of-the-undead-salmon-exploring-bonferroni-correction-in-multiple-hypothesis-testing.
Bonferroni correction as a solution for multiple comparisons problem in A/B tests. Here is an explanation of how it works with a simulation written in Python.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-science, #ab-testing, #statistics, #data-analytics, #research, #statistical-inference, #hypothesis-testing, #hackernoon-top-story, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-vi, #hackernoon-fr, #hackernoon-pt, #hackernoon-ja, and more.

This story was written by: @igorkhomyanin. Learn more about this writer by checking @igorkhomyanin's about page, and for more stories, please visit hackernoon.com.

This article explains the problem of testing multiple hypotheses without proper adjustments. It introduces the Bonferroni correction as a solution to control false positive results. Simulation demonstrates the effectiveness of the correction. Understanding and applying corrections in multiple hypothesis testing is essential for accurate data analysis and decision-making.

This story was originally published on HackerNoon at: https://hackernoon.com/164-stories-to-learn-about-nlp.
Learn everything you need to know about Nlp via these 164 free HackerNoon stories.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #nlp, #learn, #learn-nlp, #machine-learning, #artificial-intelligence, #ai, #natural-language-processing, #data-science, and more.

This story was written by: @learn. Learn more about this writer by checking @learn's about page, and for more stories, please visit hackernoon.com.

This story was originally published on HackerNoon at: https://hackernoon.com/the-new-data-engineering-landscape-dataops-vectorops-and-langchain.
DataOps, VectorOps, and LangChain integration creates powerful applications that combine efficient data management, high-dimensional data processing.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data, #dataops, #devops, #vectorops, #vector-search, #langchain, #gpt, #bert, and more.

This story was written by: @epappas. Learn more about this writer by checking @epappas's about page, and for more stories, please visit hackernoon.com.

As large language models (LLMs) like GPT-4 emerge, managing high-dimensional data structures becomes increasingly important. LangChain, an LLM-powered application development framework, integrates with DataOps and VectorOps processes and utilizes vector databases to create data-aware, interactive applications.

This story was originally published on HackerNoon at: https://hackernoon.com/study-pr-professionals-struggle-with-data-literacy-impeding-communication-of-value-to-tech-c-suite.
Half of PR pros said they have presented a metric they didn't understand. Here's what reporting is needed to support the C-suite and show PR value.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data, #survey-research, #public-relations, #reporting, and more.

This story was written by: @sarahevans. Learn more about this writer by checking @sarahevans's about page, and for more stories, please visit hackernoon.com.

Half of PR pros said they have presented a metric they didn't understand. Here's what reporting is needed to support the C-suite and show PR value.

This story was originally published on HackerNoon at: https://hackernoon.com/seamlessly-migrate-your-on-premise-data-pipeline-to-azure-with-these-key-steps.
Scaling AI/ML Data Needs: Migrating On-Premise Data Engineering Workloads to Azure Cloud
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-engineering, #azure-data-factory, #data-pipeline-migration, #azure-migration, #azure-data-integration, #cloud-data-transfer, #cloudera-to-azure, #azure-security-compliance, and more.

This story was written by: @amlanpatnaik. Learn more about this writer by checking @amlanpatnaik's about page, and for more stories, please visit hackernoon.com.

This guide details the process of migrating an on-premise Cloudera data system to Azure, covering key considerations, challenges, and best practices to ensure a smooth and secure transition.

This story was originally published on HackerNoon at: https://hackernoon.com/5-skills-every-successful-mlops-engineer-should-have.
Discover the five key skills every successful MLOps Engineer should have. Elevate your MLOps career with these crucial insights.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #mlops, #ml, #machine-learning, #data-science, #ml-engineering, #software-engineering, #data, #big-data, and more.

This story was written by: @huwfulcher. Learn more about this writer by checking @huwfulcher's about page, and for more stories, please visit hackernoon.com.

MLOps engineering is a rapidly growing field, thanks to the increasing importance of deploying and maintaining machine learning models in today’s business landscape. If you’re looking to excel as an MLOps Engineer, there are certain skills that will set you apart from the competition. In this article, we’ll explore five key skills that every successful MLOps Engineer should have.

This story was originally published on HackerNoon at: https://hackernoon.com/7-strategies-to-reduce-training-data-acquisition-cost.
Optimize your machine learning models without breaking the bank. These 7 effective strategies will help you acquire training data at a lower cost
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data, #training-data, #training-ml-models-with-data, #cost-of-ml-model-training, #custom-ml-model, #ml, #good-company, #ml-model, and more.

This story was written by: @futurebeeai. Learn more about this writer by checking @futurebeeai's about page, and for more stories, please visit hackernoon.com.

Acquiring high-quality training datasets can be expensive, but there are various strategies you can use to minimize the cost. Start by defining your project requirements and target audience, then consider using existing datasets or outsourcing to a data collection service. You can also leverage crowd-sourcing platforms, data partnerships, and data augmentation techniques to reduce the cost of data collection. By following these strategies, you can acquire the data you need without breaking the bank and optimize your machine-learning models for success.

This story was originally published on HackerNoon at: https://hackernoon.com/foursquare-enters-the-future-with-a-geospatial-knowledge-graph.
Foursquare is evolving, and its next steps will be powered by the Foursquare Graph
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #knowledge-graph, #analytics, #data-science, #use-cases, #geospatial, #graph-database, #databases, #data-structures, and more.

This story was written by: @linked_do. Learn more about this writer by checking @linked_do's about page, and for more stories, please visit hackernoon.com.

Foursquare Graph is the company’s first application of graph technology to geospatial data. The company has 9 billion-plus visits monthly from 500 million unique devices. Its data is used to power the likes of Apple, Uber and Coca-Cola. We caught up with FSQ Distinguished Engineer Vikram Gundeti to learn more about what kind of data the company deals with.

This story was originally published on HackerNoon at: https://hackernoon.com/5-simple-tips-to-become-a-better-data-scientist.
In 2023, it’s important for data scientists to stay on top of the latest trends & advancements in order to remain competitive in the market.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-science, #data-scientist, #data-analysis, #career-advice, #careers, #machine-learning, #data-visualization, #tech-careers, and more.

This story was written by: @davisdavid. Learn more about this writer by checking @davisdavid's about page, and for more stories, please visit hackernoon.com.

Data science is an ever-evolving field, with new technologies and techniques being developed all the time. As we started the journey of 2023, it’s important for data scientists to stay on top of the latest trends and advancements in order to remain competitive in the job market. In this article, we will explore why it's essential to become a better data scientist in 2023 and provide some tips.

This story was originally published on HackerNoon at: https://hackernoon.com/ab-testing-was-a-jerk-until-we-found-the-replacement-for-druid.
The recipe for successful A/B testing is quick computation, no duplication, and no data loss. So, we used Apache Flink and Doris to build our data platform.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #big-data, #ab-testing, #data-science, #database, #flink, #apache-doris, #database-management, #optimization, and more.

This story was written by: @HarisDou. Learn more about this writer by checking @HarisDou's about page, and for more stories, please visit hackernoon.com.

The recipe for successful A/B testing is quick computation, no duplication, and no data loss. For that, we used Apache Flink and Apache Doris to build our data platform.

This story was originally published on HackerNoon at: https://hackernoon.com/how-high-quality-datasets-can-revolutionize-business-outcomes-with-machine-learning.
The accuracy of a machine learning model is a measure of how well it can make predictions on new, unseen data.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #big-data, #database, #dataset, #data-storage, #ai, #datascience, #good-company, #machine-learning, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-vi, #hackernoon-fr, #hackernoon-pt, #hackernoon-ja, and more.

This story was written by: @datascienceua. Learn more about this writer by checking @datascienceua's about page, and for more stories, please visit hackernoon.com.

In machine learning, the quality of the dataset is just as important as the complexity of the model. Without high-quality data, even the most advanced algorithms and models will not be able to deliver accurate results. In this article, we will explore the correlation between datasets and models, and how the accuracy of a model can impact business outcomes.

This story was originally published on HackerNoon at: https://hackernoon.com/data-collection-for-product-managers.
Discover how product managers can bridge the gap between intuition and data to optimize product improvement with best practices and real-world examples.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-collection, #startups, #data-product-management, #data-driven-insights, #data-driven-decision-making, #product-manager, #product-management-tips, #how-to-collect-data, and more.

This story was written by: @carolinagarcia. Learn more about this writer by checking @carolinagarcia's about page, and for more stories, please visit hackernoon.com.

Discover how product managers can bridge the gap between intuition and data to optimize product improvement. This guide explores the importance of data-driven decision-making, offering best practices and real-world examples from companies like NuBank, Monzo, Deliveroo, and Booking.com. Learn how to acquire insights from customer feedback, track performance metrics, monitor market trends, and refine product roadmaps through iterative experimentation. Become a data-driven PM and create products that users will love.

This story was originally published on HackerNoon at: https://hackernoon.com/data-collection-for-product-managers.
Discover how product managers can bridge the gap between intuition and data to optimize product improvement with best practices and real-world examples.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-collection, #startups, #data-product-management, #data-driven-insights, #data-driven-decision-making, #product-manager, #product-management-tips, #how-to-collect-data, and more.

This story was written by: @carolinagarcia. Learn more about this writer by checking @carolinagarcia's about page, and for more stories, please visit hackernoon.com.

Discover how product managers can bridge the gap between intuition and data to optimize product improvement. This guide explores the importance of data-driven decision-making, offering best practices and real-world examples from companies like NuBank, Monzo, Deliveroo, and Booking.com. Learn how to acquire insights from customer feedback, track performance metrics, monitor market trends, and refine product roadmaps through iterative experimentation. Become a data-driven PM and create products that users will love.

This story was originally published on HackerNoon at: https://hackernoon.com/leveraging-data-granularity-distribution-and-modeling-for-effective-product-management.
These three fundamental concepts are exceptionally needed for being able to use data to enhance product strategy.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-analysis, #data-driven-product-management, #data-granularity, #data-distribution, #product-strategy, #user-behavior-analysis, #data-modeling, #business-strategy, and more.

This story was written by: @gevorgkazaryan. Learn more about this writer by checking @gevorgkazaryan's about page, and for more stories, please visit hackernoon.com.

Granularity determines the level of detail available in the data, which directly impacts what you can observe and analyze. For instance, finer granularity provides more detailed insights but may require more sophisticated handling and processing techniques. Distribution helps identify the patterns and spread of data, which is critical for selecting the appropriate analysis techniques and ensuring the accuracy of predictive models. Data Modeling uses the insights gained from understanding granularity and distribution to build predictive or descriptive models that inform decision-making and strategy.

This story was originally published on HackerNoon at: https://hackernoon.com/how-vectors-rag-and-llama-3-are-changing-first-party-data.
In the battle for the best data, is first-party better? Not by itself, but it could be with vectors, frameworks like RAG, and open-source models
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #first-party-data, #big-data, #datasets, #rag-architecture, #retrieval-augmented-generation, #vector-embedding, #ai-models-for-data-analysis, #hackernoon-top-story, and more.

This story was written by: @danielsvonava. Learn more about this writer by checking @danielsvonava's about page, and for more stories, please visit hackernoon.com.

The push for first-party data generally goes that companies need to become better stewards of data acquisition and management. Consumers increasingly want to know who is hanging onto their personal information, how they got it, why they have it, and what is being done with it. The push to take back control of data seems essential, but is it practical?

This story was originally published on HackerNoon at: https://hackernoon.com/16-best-sklearn-datasets-for-building-machine-learning-models.
Sklearn datasets are included as part of the scikit-learn (sklearn) library, so they come pre-installed with the library.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #sklearn, #datasets, #datascience, #sklearn-datasets, #machine-learning, #python-programming, #dataset, #hackernoon-top-story, and more.

This story was written by: @datasets. Learn more about this writer by checking @datasets's about page, and for more stories, please visit hackernoon.com.

Sklearn is a Python module for machine learning built on top of SciPy. It is unique due to its wide range of algorithms and ease of use. Data powers machine learning algorithms and scikit-learn. Sklearn offers high quality datasets that are widely used by researchers, practitioners and enthusiasts.

This story was originally published on HackerNoon at: https://hackernoon.com/enhancing-audit-processes-with-advanced-analytical-tools.
Discover how advanced analytical tools streamline audit processes, boosting accuracy and efficiency for tech professionals.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #advanced-analytics, #software-development, #audit, #analytics-based-auditing, #auditing-tech, #data-visualization, #complex-event-processing, #ai-in-analytics, and more.

This story was written by: @devinpartida. Learn more about this writer by checking @devinpartida's about page, and for more stories, please visit hackernoon.com.

Developers can leverage advanced analytics tools to streamline and improve software, compliance and internal controls auditing. Advanced analytics tools like artificial intelligence, complex event processing and data mining enable 100% population testing. They eliminate the need for sampling, thereby reducing bias and error risks. Autonomous technologies like AI are particularly beneficial since they eliminate human error.

This story was originally published on HackerNoon at: https://hackernoon.com/go-clean-to-be-lean-data-optimization-for-improved-business-efficiency.
The article discusses cost optimization with clean data, explaining how businesses can save resources by reducing the workload for data analysts and more.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-cleaning, #data-optimization, #data-cleansing, #clean-data, #big-data, #big-data-processing, #data-processing, #business-data, and more.

This story was written by: @karolisdidziulis. Learn more about this writer by checking @karolisdidziulis's about page, and for more stories, please visit hackernoon.com.

This article discusses cost optimization with clean data. It explains how businesses can save resources by decreasing the load for data analysts, among other opportunities. It also discusses the differences between raw and clean data and who can benefit from switching to the latter. You'll also find 4 ways in which clean data reduces time to value.

This story was originally published on HackerNoon at: https://hackernoon.com/how-ai-powered-data-mapping-is-democratizing-data-management.
Learn how AI-powered data mapping is transforming data management, making it more accessible and efficient for everyone.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-mapping, #data-management, #big-data, #ai-powered, #ai-powered-data-management, #democratizing-data-management, #data-science, #ai-powered-data-mapping, and more.

This story was written by: @kristenburke. Learn more about this writer by checking @kristenburke's about page, and for more stories, please visit hackernoon.com.

AI is revolutionizing data mapping by automating and simplifying the process, making data management more efficient and accessible for businesses and non-technical users alike.

This story was originally published on HackerNoon at: https://hackernoon.com/efficient-data-management-and-workflow-orchestration-with-apache-doris-job-scheduler.
Apache Doris 2.1.0's built-in Job Scheduler simplifies task automation with high efficiency, flexibility, and easy integration for seamless data management.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-engineering, #big-data, #database, #open-source, #programming, #apache-doris, #task-automation, #workflow-orchestration, and more.

This story was written by: @frankzzz. Learn more about this writer by checking @frankzzz's about page, and for more stories, please visit hackernoon.com.

The built-in Doris Job Scheduler triggers pre-defined operations efficiently and reliably. It is useful in many cases including ETL and data lake analytics.

This story was originally published on HackerNoon at: https://hackernoon.com/scaling-ethereum-data-bloat-data-availability-and-the-cloudless-solution.
Determining how to persist Ethereum’s excess data will allow it to scale indefinitely into the future, and Codex has arrived to help.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-storage, #decentralized-storage, #peer-to-peer, #web3-storage, #ethereum, #ethereum-scaling, #good-company, #data-bloat, and more.

This story was written by: @logos. Learn more about this writer by checking @logos's about page, and for more stories, please visit hackernoon.com.

Codex is a cloudless, trustless, p2p storage protocol seeking to offer strong data persistence and durability guarantees for the Ethereum ecosystem and beyond. Due to the rapid development and implementation of new protocols, the Ethereum blockchain chain has become bloated with data. This data bloat can also be defined as “network congestion,” where transaction data clogs the network and undermines scalability. Codex offers a solution to the DA problem, except with data persistence.

This story was originally published on HackerNoon at: https://hackernoon.com/what-frontend-devs-want-from-backend-devs.
Backend developers can help frontend developers work with their API more efficiently and ship the product with as little friction as possible.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-structure, #backend-developer, #typescript, #programming-advice, #api, #coding-teamwork, #how-to-have-clean-code, #figma, and more.

This story was written by: @smileek. Learn more about this writer by checking @smileek's about page, and for more stories, please visit hackernoon.com.

Backend developers can help frontend developers work with their API more efficiently and ship the product with as little friction as possible. Here are a few simple things that can decrease your time-to-market or improve other fancy metrics your managers want you to improve. I will tell it from the web developers’ point of view, but from what I remember, the same works for mobile development.

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-build-an-ai-chatbot-with-python-and-gemini-api.
Learn how to create a web-based AI chatbot using Python and the Gemini API with this step-by-step beginner-friendly guide.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #python-programming, #ai-chatbot, #google-gemini, #google-ai, #gemini-api, #python-tutorials, #python-flask, #chatbot-development, and more.

This story was written by: @proflead. Learn more about this writer by checking @proflead's about page, and for more stories, please visit hackernoon.com.

This guide walks you through building a web-based AI chatbot using Python and the Gemini API. From setting up your environment to running your chatbot, you'll learn each step to create your own AI assistant.

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-set-up-a-local-dns-server-with-python.
DNS servers play a crucial role in translating human-friendly domain names into IP addresses that computers use to identify each other on the network.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #python-programming, #networking, #dns-server-guide, #how-to-set-up-dns-server, #how-to-creatw-html-files, #http-server-guide, #troubleshooting-dns-server, #python-and-dns-servers, and more.

This story was written by: @hackerclukchp0j00003b6oy80p1nrw. Learn more about this writer by checking @hackerclukchp0j00003b6oy80p1nrw's about page, and for more stories, please visit hackernoon.com.

DNS servers play a crucial role in translating human-friendly domain names into IP addresses that computers use to identify each other on the network. Setting up your own local DNS server can be beneficial for various reasons, including local development, internal network management, and educational purposes. We’ll create a simple HTTP server using Python’s built-in `http.server` module to serve the HTML files.

This story was originally published on HackerNoon at: https://hackernoon.com/the-collective-loves-data-how-big-data-is-shaping-and-predicting-our-future.
Big data shapes our future! Explore how massive datasets are used to predict trends & make smarter decisions.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #big-data, #what-is-big-data, #examples-of-big-data, #digital-footprint, #machine-world, #big-data-storage, #big-data-processing, #what-to-know-about-big-data, and more.

This story was written by: @manoj123. Learn more about this writer by checking @manoj123's about page, and for more stories, please visit hackernoon.com.

Big data surrounds us! From social media posts to sensor readings, vast amounts of information shape our world. This article by a Google engineer dives into what big data is (think massive, varied, and ever-growing data sets) and how it's analyzed to predict trends and make smarter decisions. Learn about real-world applications and exciting future possibilities like AI and quantum computing.

This story was originally published on HackerNoon at: https://hackernoon.com/apache-doris-for-log-and-time-series-data-analysis-in-netease-why-not-elasticsearch-and-influxdb.
NetEase has replaced Elasticsearch and InfluxDB with Apache Doris in its monitoring and time series data analysis platforms, respectively
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-engineering, #logging, #time-series-analysis, #time-series-database, #big-data-analytics, #elasticsearch, #database, #netease, and more.

This story was written by: @frankzzz. Learn more about this writer by checking @frankzzz's about page, and for more stories, please visit hackernoon.com.

NetEase has replaced Elasticsearch and InfluxDB with Apache Doris in its monitoring and time series data analysis platforms, respectively, achieving 11X query performance and saving 70% of resources.

This story was originally published on HackerNoon at: https://hackernoon.com/unlocking-the-power-of-data-lakes-for-embedded-analytics-in-multi-tenant-saas.
Discover why data lakes are superior to traditional data warehouses for embedded analytics in SaaS applications.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-analytics, #embedded-analytics, #data-lake, #data-warehouse, #qrvey, #b2b-saas, #data-storage, #good-company, and more.

This story was written by: @goqrvey. Learn more about this writer by checking @goqrvey's about page, and for more stories, please visit hackernoon.com.

Analytics should extract maximum insight right? Well, to do that, you’ll need complete access to all relevant data. A data lake is a central storage for all kinds of data in its original, unstructured form. Data lakes are generally more cost-effective than data warehouses for embedded analytics use cases.

This story was originally published on HackerNoon at: https://hackernoon.com/the-linkedin-nanotargeting-experiment-that-broke-all-the-rules.
Discover how a groundbreaking nanotargeting experiment on LinkedIn defies audience size restrictions, unlocking new ad campaign strategies.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #nanotargeting, #online-advertising, #user-privacy, #user-data-security, #hyper-personalized-ads, #public-data-risks, #linkedin-advertising, #hackernoon-top-story, and more.

This story was written by: @netizenship. Learn more about this writer by checking @netizenship's about page, and for more stories, please visit hackernoon.com.

A study demonstrates the feasibility of nanotargeting on LinkedIn, bypassing audience size restrictions and achieving successful campaigns by employing JavaScript code to reactivate campaign launch buttons, employing various targeting strategies, and verifying success through campaign metrics and user interaction.

This story was originally published on HackerNoon at: https://hackernoon.com/data-science-interview-question-creating-roc-and-precision-recall-curves-from-scratch.
This is one of the popular data science interview questions which requires one to create the ROC and similar curves from scratch.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-science, #data-science-interview, #precision-and-recall, #precision-recall-curves, #roc-data-science, #data-analysis, #data-science-job-questions, #hackernoon-top-story, and more.

This story was written by: @varunnakra1. Learn more about this writer by checking @varunnakra1's about page, and for more stories, please visit hackernoon.com.

This is one of the popular data science interview questions which requires one to create the ROC and similar curves from scratch. For the purposes of this story, I will assume that readers are aware of the meaning and the calculations behind these metrics and what they represent and how are they interpreted. We start with importing the necessary libraries (we import math as well because that module is used in calculations)

This story was originally published on HackerNoon at: https://hackernoon.com/data-engineering-whats-the-value-of-api-security-in-the-generative-ai-era.
Discover the importance of API security in the age of Generative AI. Learn how robust API protection ensures data integrity.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-engineering, #generative-ai, #ai-regulation, #api-security, #data-security, #data-privacy, #threat-detection, #cybersecurity-best-practices, and more.

This story was written by: @karthikrajashekaran. Learn more about this writer by checking @karthikrajashekaran's about page, and for more stories, please visit hackernoon.com.

API security is crucial in the era of Generative AI, ensuring data integrity, protecting user privacy, and enabling secure and efficient AI integration. Robust API protection helps prevent unauthorized access, data breaches, and potential misuse of AI capabilities.