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White Paper | Presented by Databricks

Data Warehouses Meet Data Lakes

Ventana Research found that 73% of organizations are combining their data warehouse and data lakes in some way —

White Paper | Presented by Databricks

Gartner names Databricks a Leader

Gartner has just released the 2021 Magic Quadrant for Data Science and Machine Learning Platforms, and Databricks was named a Leader.

eGuide | Presented by Databricks

How enabling data and AI at scale will transform your organization

Every organization is working to improve business outcomes while effectively managing a variety of risks — including economic, compliance, security and fraud, financial, reputation, operational and competitive risk.

White Paper | Presented by Databricks

MIT Technology Review: Building a high-performance data organization

Building a high-performance data organization Among the companies in our survey, 63% use cloud services or infrastructure widely in their data architecture

eBook | Presented by Databricks

The Delta Lake Series

“The Delta Lake Series” of eBooks will explore how Delta Lake brings quality, reliability, security and performance to your data lake to enable a lakehouse architecture.

White Paper | Presented by Databricks

The Hidden Value of Hadoop Migration

Discover the benefits of migrating from Hadoop to a modern, cloud-based analytics platform.

eBook | Presented by Databricks

Unified Analytics for Dummies

Data is at the core of how these modern enterprises are unlocking the potential of AI to change their business. The challenge most enterprises face is how to succeed with both their data and AI. How can the gap between data engineering and data science be bridged and what impact can that have on an organization’s ability to succeed with AI? That is the major question addressed in this book.

White Paper | Presented by Databricks

eBook: A Gentle Introduction to Apache Spark™

Apache Spark™’s ability to speed analytic applications by orders of magnitude, its versatility, and ease of use are quickly winning the market. With Spark’s appeal to developers, end users, and integrators to solve complex data problems at scale, it is now the most active open source project with the big data community.

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