From Hadoop to Cloud: Why and How to Decouple Storage and Compute in Big Data Platforms

This story was originally published on HackerNoon at: https://hackernoon.com/data-in-ai-a-deep-dive-with-jerome-pasquero.
How is Data Transforming AI - The What's AI Podcast (episode 27)
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This story was written by: @whatsai. Learn more about this writer by checking @whatsai's about page, and for more stories, please visit hackernoon.com.

This week's episode of the What's AI podcast features Machine Learning Director Jerome Pasquero. We discussed the role of human judgment in data annotation. We also touched on the often subtle yet significant presence of AI in our daily routines. This episode is a must for anyone curious about the ways in which data fuels AI.

This story was originally published on HackerNoon at: https://hackernoon.com/14-best-tableau-datasets-for-practicing-data-visualization.
This article focuses on the 14 Best Tableau Datasets for Practicing Data Visualization, which is essential for business analysts and data scientists.
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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.

Tableau is a data analysis and visualization tool that enables users to connect, visualize and share data in an easy-to-understand and meaningful way. This article focuses on the 14 Best Tableau Datasets for Practicing Data Visualization, essential for helping you gain valuable experience.

This story was originally published on HackerNoon at: https://hackernoon.com/the-lifecycle-of-a-data-warehouse.
We're about to embark on the fascinating journey of building a data warehouse, guided by our adept Data Architect.
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This story was written by: @ishaanraj. Learn more about this writer by checking @ishaanraj's about page, and for more stories, please visit hackernoon.com.

A data warehouse, optimized for OLAP (Online Analytical Processing), is a centralized repository for structured and processed data. Unlike traditional OLTP (Online Transaction Processing) systems, it's designed for efficient querying and reporting. The use of columnar storage in data warehouses allows for quicker data retrieval, especially beneficial for analytical queries.

This story was originally published on HackerNoon at: https://hackernoon.com/advancing-data-quality-exploring-data-contracts-with-lyft.
Keen to delve into data contracts and discover how they can enhance your data quality? Join me as we explore Lyft's Verity data contract approach together!
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This story was written by: @bmarquie. Learn more about this writer by checking @bmarquie's about page, and for more stories, please visit hackernoon.com.

In a previous post, I explored Airbnb’s strategy for enhancing data quality through incentives. Lyft is taking a distinct approach, not attempting the same thing differently, but rather focusing on different aspects of data quality. Lyft places emphasis on actively testing and validating data quality, providing both producers and consumers with the means to effectively improve and control the quality.

This story was originally published on HackerNoon at: https://hackernoon.com/building-a-ci-pipeline-with-databricks-dbx-tool-and-gitlab.
Explore streamlined CI/CD in Databricks with Asset Bundles. Simplify deployment, eliminate complexities, and enhance workflow efficiency
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This story was written by: @neshom. Learn more about this writer by checking @neshom's about page, and for more stories, please visit hackernoon.com.

discover how to implement a robust CI/CD pipeline using Databricks DBX and GitLab. Tailored for data engineering and science, this guide unravels CI/CD fundamentals, Databricks integration, and the pivotal role of Databricks CLI Extension (DBX). The hands-on example showcases the seamless deployment of a Databricks workflow, automating data manipulation, analysis, and testing. As we bridge CI/CD principles with Databricks workflows, you'll gain practical insights into enhancing data project efficiency and reliability. This blog serves as a comprehensive resource for those seeking to optimize their data processing workflows through the integration of cutting-edge CI/CD practices with Databricks capabilities.

This story was originally published on HackerNoon at: https://hackernoon.com/meeting-customer-needs-with-user-centric-product-development.
In a nutshell, user-centric product development implies attentiveness to the client's needs. This approach puts the customer at the heart of the product
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This story was written by: @tonythevoit. Learn more about this writer by checking @tonythevoit's about page, and for more stories, please visit hackernoon.com.

Today, it has become difficult to compete with other solutions on the market if your product or service does not meet the user's expectations. Markets have become more saturated, and users now lean toward products that solve their problems and that are friendly and easy to navigate. Businesses that have adopted a user-centric approach are finding greater success through increased customer satisfaction and loyalty. Importantly, users who feel valued and heard are more likely to become loyal to the product and actively promote it.

This story was originally published on HackerNoon at: https://hackernoon.com/is-your-data-worth-the-costs.
Data, when used strategically, can be a powerful tool for businesses to achieve their goals.
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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.

Data, when used strategically, can be a powerful tool for businesses to achieve their goals. However, it is important to approach data with a clear plan and to avoid the hidden costs of data hoarding. By prioritizing relevant data, evaluating its impact on business outcomes, and continuously refining data-driven strategies, businesses can unlock the true potential of data to drive growth, improve efficiency, and achieve sustainable success.

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-modify-the-number-of-rows-fetched-by-sap-businessobjects-report.
If your BO Report exceeds the 5000 rows, you may miss out on critical data or insights.
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This story was written by: @luca1iu. Learn more about this writer by checking @luca1iu's about page, and for more stories, please visit hackernoon.com.

If your BO Report exceeds the 5000 rows, you may miss out on critical data or insights.

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-fetch-sap-business-objects-universes-using-python.
With the RESTful API, developers can perform operations like fetching information about reports, universes, folders, scheduling, and other BI-related entities.
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This story was written by: @luca1iu. Learn more about this writer by checking @luca1iu's about page, and for more stories, please visit hackernoon.com.

With the RESTful API, developers can perform operations like fetching information about reports, universes, folders, scheduling, and other BI-related entities.

This story was originally published on HackerNoon at: https://hackernoon.com/59-stories-to-learn-about-tensorflow.
Learn everything you need to know about Tensorflow via these 59 free HackerNoon stories.
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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.