Data Science Tech Brief By HackerNoon

Data Science Tech Brief By HackerNoon

By HackerNoonNewsTech News
Download on the App Store

Data Science Tech Brief By HackerNoon episodes

  • Benchmarking Apache Kafka: Performance-per-price

    This story was originally published on HackerNoon at: https://hackernoon.com/benchmarking-apache-kafka-performance-per-price.


    This is a study comparing environments for Apache Kafka. The ultimate goal is to find the most effective setup and achieve the best price-performance ratio.
    Check more stories related to data-science at: https://hackernoon.com/c/data-science.
    You can also check exclusive content about #apache-kafka, #amd, #arm, #aws, #gcp, #kafka-performance, #benchmarking-apache-kafka, #hackernoon-top-story, and more.


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


    ARM rocks. Modern expensive architecture does not always mean “better”.

    14 min
  • When and When Not to Use Apache Kafka as a Database

    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.

    10 min
  • A Leader's Guide to Data-Driven Success

    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.

    8 min
  • Seamlessly Migrate Your On-Premise Data Pipeline to Azure with These Key Steps

    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.

    13 min
  • Data Collection for Product Managers

    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.

    8 min
  • Data Collection for Product Managers

    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.

    8 min
  • Leveraging Data Granularity, Distribution, and Modeling for Effective Product Management

    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.

    12 min
  • How Vectors, Rag and Llama 3 Are Changing First-Party Data

    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?

    8 min
  • 16 Best Sklearn Datasets for Building Machine Learning Models

    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.

    22 min
  • Enhancing Audit Processes With Advanced Analytical Tools

    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.

    6 min

About Data Science Tech Brief By HackerNoon

From the publisher's feed

Learn the latest data science updates in the tech world.