Create engaging HR content.
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Create engaging HR content. Read More »
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Unlock the full potential of AI through collaboration How do the best data teams foster collaboration between data engineers, the architects of robust data infrastructure, and data scientists, the masterminds behind cutting-edge algorithms? From overcoming technical challenges to harnessing the power of diverse skill sets, this eBook offers a roadmap for fostering collaboration, driving efficiency
Connecting Data and AI Read More »
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Design Innovation – Where Next? Read More »
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Adobe Firefly Services Read More »
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Supercharge Content Creation with Generative AI in Creative Cloud ODW Read More »
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State of Creativity 2024 Read More »
Learn about data engineering on the lakehouse Stay up to date with the latest technical guidance for data engineers by downloading The Big Book of Data Engineering with all-new content. This eBook will help you address challenges such as implementing complex ETL pipelines, processing real-time streaming data, applying data governance and workflow orchestration. You’ll benefit
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Get started with Delta Lake Get this O’Reilly eBook to learn the basics of Delta Lake, the open storage format at the heart of the lakehouse architecture. You’ll get guidance on taking your first steps with Delta Lake, including running Delta Lake on a Spark cluster using PySpark or Scala, creating a table, and reading
Delta Lake: Up & Running by O’Reilly Read More »
Data, analytics and AI governance is perhaps the most important yet challenging aspect of any data and AI democratization effort. For your data analytics and AI needs, you’ve probably deployed two different systems — data warehouses for business intelligence and data lakes for AI. And now you’ve created data silos with data movement across two
Data, Analytics and AI Governance Read More »
The Databricks Lakehouse Platform for Dummies is your guide to simplifying your data storage. The lakehouse platform has SQL and performance capabilities — indexing, caching and MPP processing — to make BI work rapidly on data lakes. It also provides direct file access and direct native support for Python, data science and AI frameworks without
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