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  • Format: ePub

Traditional data architecture patterns are severely limited. To use these patterns, you have to ETL data into each toola cost-prohibitive process for making warehouse features available to all of your data. The lack of flexibility with these patterns requires you to lock into a set of priority tools and formats, which creates data silos and data drift. This practical book shows you a better way.Apache Iceberg provides the capabilities, performance, scalability, and savings that fulfill the promise of an open data lakehouse. By following the lessons in this book, you'll be able to achieve…mehr

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Produktbeschreibung
Traditional data architecture patterns are severely limited. To use these patterns, you have to ETL data into each toola cost-prohibitive process for making warehouse features available to all of your data. The lack of flexibility with these patterns requires you to lock into a set of priority tools and formats, which creates data silos and data drift. This practical book shows you a better way.Apache Iceberg provides the capabilities, performance, scalability, and savings that fulfill the promise of an open data lakehouse. By following the lessons in this book, you'll be able to achieve interactive, batch, machine learning, and streaming analytics with this high-performance open source format. Authors Tomer Shiran, Jason Hughes, and Alex Merced from Dremio show you how to get started with Iceberg.With this book, you'll learn:The architecture of Apache Iceberg tablesWhat happens under the hood when you perform operations on Iceberg tablesHow to further optimize Iceberg tables for maximum performanceHow to use Iceberg with popular data engines such as Apache Spark, Apache Flink, and DremioDiscover why Apache Iceberg is a foundational technology for implementing an open data lakehouse.

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Autorenporträt
Tomer Shiran is the Founder and Chief Product Officer of Dremio, an open data lakehouse platform that enables companies to run analytics in the cloud without the cost, complexity and lock-in of data warehouses. As the company's founding CEO, Tomer built a world-class organization that has raised over $400M and now serves hundreds of the world's largest enterprises, including 3 of the Fortune 5. Prior to Dremio, Tomer was the 4th employee and VP Product of MapR, a Big Data analytics pioneer. He also held numerous product management and engineering roles at Microsoft and IBM Research, founded several websites that have served millions of users and hundreds of thousands of paying customers, and is a successful author and presenter on a wide range of industry topics. He holds an MS in Computer Engineering from Carnegie Mellon University and a BS in Computer Science from Technion - Israel Institute of Technology.