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Furthering Our Commitment to Responsible AI Development Through Industry and Government Organizations

databricks

At Databricks, we've upheld principles of responsible development throughout our long-standing history of building innovative data and AI products. We are committed to.

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Top 10 Azure Tips and Tricks to Know in 2023 [For Beginners]

Knowledge Hut

Using the most recent technology, Microsoft Azure enables you to develop innovations ready for the future in all your settings. In this article, we'll go through Azure Tips for Beginners. Azure's diverse services encompass computing, storage, databases, AI , and IoT, offering a comprehensive solution for a broad spectrum of needs.

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Travel Analytics: Data Sources, Use Cases, and Real-Life Examples

AltexSoft

In the continuously changing travel industry, data-driven insights are revolutionizing decision-making processes. This article explores the influence of analytics on marketing strategies, revenue management, guest personalization, and other aspects of the travel industry. Travel data: external and internal sources.

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[O’Reilly Book] Chapter 1: Why Data Quality Deserves Attention Now

Monte Carlo

As the data analyst or engineer responsible for managing this data and making it usable, accessible, and trustworthy, rarely a day goes by without having to field some request from your stakeholders. She was responsible for managing her company’s data operations and making sure stakeholders were set up for success when working with data.

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20 Solved End-to-End Big Data Projects with Source Code

ProjectPro

This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. Understand the Business Goals The first step of any good big data analytics project is understanding the business or industry that you are working on.

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The Ultimate Modern Data Stack Migration Guide

phData: Data Engineering

As an AI and data analytics consulting company, phData is on a mission to become the world leader in delivering data services and products on a modern data platform. With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever.