Apache Iceberg: The Definitive Guide
Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
(Sprache: Englisch)
Traditional data architecture patterns are severely limited. To use these patterns, you have to ETL data into each tool--a cost-prohibitive process for making warehouse features available to all of your data. This lack of flexibility forces you to adjust...
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Traditional data architecture patterns are severely limited. To use these patterns, you have to ETL data into each tool--a cost-prohibitive process for making warehouse features available to all of your data. This lack of flexibility forces you to adjust your workflow to the tool your data is locked in, which creates data silos and data drift. This 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 lakehouse. Authors Tomer Shiran, Jason Hughes, and Alex Merced from Dremio guide you through the process.
With this book, you'll learn:
- The architecture of Apache Iceberg tables
- What happens under the hood when you perform operations on Iceberg tables
- How to further optimize Apache Iceberg tables for maximum performance
- How to use Apache Iceberg with popular data engines such as Apache Spark, Apache Flink, and Dremio Sonar
- How Apache Iceberg can be used in streaming and batch ingestion
Discover why Apache Iceberg is a foundational technology for implementing an open data lakehouse.
Autoren-Porträt von Tomer Shiran, Jason Hughes, Alex Merced, Dipankar Mazumdar
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.
Bibliographische Angaben
- Autoren: Tomer Shiran , Jason Hughes , Alex Merced , Dipankar Mazumdar
- 2024, 300 Seiten, Kartoniert (TB), Englisch
- Verlag: O'Reilly Media
- ISBN-10: 1098148622
- ISBN-13: 9781098148621
- Erscheinungsdatum: 28.02.2024
Sprache:
Englisch
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