Design Innovation – Where Next?
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Adobe Firefly Services
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Supercharge Content Creation with Generative AI in Creative Cloud ODW
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State of Creativity 2024
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Big Book of Data Engineering: 2nd Edition
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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Delta Lake: Up & Running by O’Reilly
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
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Data, Analytics and AI Governance
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
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Future-proof your data strategy with Lakehouse
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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Cloud and data maturity in the era of AI: A guide for IT leaders
Having accurate, verifiable, and well-managed data is the cornerstone of any AI adoption journey. Artificial Intelligence (AI) and advanced analytics are important for gaining insights from data, improving processes, and gaining a competitive edge. Leveraging platforms like Microsoft Azure can significantly aid in this journey. To become a true data-driven and AI-powered organization, you must
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How to weave migration and business strategies for AI success
When considering AI adoption, a well-thought-out strategy is crucial for businesses to stay competitive. But AI implementation comes with significant challenges like data management, security, and compute performance. To combat this, organizations must build a cloud and AI foundation and strategy with strong security protections and robust governance. To begin building an effective AI framework
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