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Bringing breakthrough data intelligence to industries

Bringing breakthrough data intelligence to industries Gen AI for All: Empowering Every Role Across Industries The new frontier of data intelligence is here. As more companies pursue industry-changing transformations, they face the same monumental challenge: data democratization. In this new report from MIT Tech Review Insights, 600 CIOs and senior tech executives from the world’s […]

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Big Book of Data Warehousing and Bi

Big Book of Data Warehousing and Bi Explore real-world use cases from governance, transformation, business intelligence and AI As the demand for data becomes insatiable in every company, the data infrastructure has become increasingly complex. Learning from real-world, end-to-end use cases of data warehousing, data modeling, analytics and data governance can be challenging. You need

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Big Book of Data Engineering

Big Book of Data Engineering Get practical guidance, notebooks, code snippets You know this better than anyone: the best GenAI models in the world will not succeed without good data. That’s why data engineers are even more critical today. The challenge is staying ahead of the rapid advancements in AI and machine learning. We’ve revamped

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The Data lakehouse for Dummies

The Data lakehouse for Dummies The best introduction to lakehouses. In just a few years, the data lakehouse has quickly become the new paradigm for enterprise data architecture. Newly updated, The Data Lakehouse For Dummies is both an introduction to data lakehouses and a step-by-step handbook for implementing best practices on your lakehouse. Get your

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The Big Book of Gen AI

The Big Book of Gen AI How to successfully build GenAI applications GenAI is moving so fast, it’s not easy to find the latest thinking and code snippets. The Big Book of Generative AI brings together best practices and know-how for building production-quality GenAI applications. You’ll find technical content and code samples that will help

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State of Data + AI

State of Data + AI With AI dominating conversations everywhere, technical practitioners and executives are seeking answers: How are leading companies succeeding with GenAI? How does my ML strategy and execution compare to my peers? Delivering on these initiatives requires the right strategy, platform and data stack. The State of Data + AI is your

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