Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake | Agenda Bookshop Skip to content
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A01=Alex Merced
A01=Dipankar Mazumdar
A01=Jason Hughes
A01=Tomer Shiran
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Age Group_Uncategorized
Author_Alex Merced
Author_Dipankar Mazumdar
Author_Jason Hughes
Author_Tomer Shiran
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Category1=Non-Fiction
Category=UMWS
Category=UMX
Category=UNA
Category=UND
Category=UTC
Category=UYZM
COP=United States
Delivery_Delivery within 10-20 working days
Language_English
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Price_€50 to €100
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Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake

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, Alex Merced, and Dipankar Mazumdar 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. See more
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A01=Alex MercedA01=Dipankar MazumdarA01=Jason HughesA01=Tomer ShiranAge Group_UncategorizedAuthor_Alex MercedAuthor_Dipankar MazumdarAuthor_Jason HughesAuthor_Tomer Shiranautomatic-updateCategory1=Non-FictionCategory=UMWSCategory=UMXCategory=UNACategory=UNDCategory=UTCCategory=UYZMCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Dimensions: 178 x 233mm
  • Publication Date: 15 May 2024
  • Publisher: O'Reilly Media
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781098148621

About Alex MercedDipankar MazumdarJason HughesTomer Shiran

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. Jason Hughes is the Director of Technical Advocacy at Dremio. Previously at Dremio he's been a Product Director Technical Director and a Senior Solutions Architect. He's been working in technology and data for over a decade including roles as tech lead for the field at Dremio the pre-sales and post-sales lead for Presto and QueryGrid for the Americas at Teradata and leading the development deployment and management of a custom CRM system for multiple auto dealerships. He is passionate about making customers and individuals successful and self-sufficient. When he's not working he's usually taking his dog to the dog park playing hockey or cooking (when he feels like it). He lives in San Diego California. Alex Merced is a developer advocate for Dremio and has worked as a developer and instructor for companies like GenEd Systems Crossfield Digital CampusGuard and General Assembly. Alex is passionate about technology and has put out tech content on outlets such as blogs videos and his podcasts Datanation and Web Dev 101. Alex Merced has contributed a variety of libraries in the Javascript & Python worlds including SencilloDB CoquitoJS dremio-simple-query and more. Dipankar Mazumdar is currently a Data Eng/Science Advocate at Dremio where his primary focus is advocating data practitioners on Dremio's open lakehouse platform and various open-sourced projects such as Apache Iceberg. Dipankar is also interested in Visual Analytics research and his latest work was on Explainability of ensemble models using multidimensional projection techniques.

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