rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Building Big Data Pipelines with Apache Beam
  name:
    name part: Lukavský, Jan
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Safari, an O'Reilly Media Company
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: xx
    date issued: 2022
    edition: 1st edition
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (342 pages)
  abstract: Implement, run, operate, and test data processing pipelines using Apache Beam Key Features Understand how to improve usability and productivity when implementing Beam pipelines Learn how to use stateful processing to implement complex use cases using Apache Beam Implement, test, and run Apache Beam pipelines with the help of expert tips and techniques Book Description Apache Beam is an open source unified programming model for implementing and executing data processing pipelines, including Extract, Transform, and Load (ETL), batch, and stream processing. This book will help you to confidently build data processing pipelines with Apache Beam. You'll start with an overview of Apache Beam and understand how to use it to implement basic pipelines. You'll also learn how to test and run the pipelines efficiently. As you progress, you'll explore how to structure your code for reusability and also use various Domain Specific Languages (DSLs). Later chapters will show you how to use schemas and query your data using (streaming) SQL. Finally, you'll understand advanced Apache Beam concepts, such as implementing your own I/O connectors. By the end of this book, you'll have gained a deep understanding of the Apache Beam model and be able to apply it to solve problems. What you will learn Understand the core concepts and architecture of Apache Beam Implement stateless and stateful data processing pipelines Use state and timers for processing real-time event processing Structure your code for reusability Use streaming SQL to process real-time data for increasing productivity and data accessibility Run a pipeline using a portable runner and implement data processing using the Apache Beam Python SDK Implement Apache Beam I/O connectors using the Splittable DoFn API Who this book is for This book is for data engineers, data scientists, and data analysts who want to learn how Apache Beam works. Intermediate-level knowledge of the Java programming language is assumed.
  note: Lukavský, Jan.
  note: Electronic reproduction. Boston, MA : Safari, Available via World Wide Web. 2022.
  note: Mode of access: World Wide Web.
  note: Made available through: Safari, an O'Reilly Media Company.
  identifier: 9781800564930
  identifier: 9781800566569
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record creation date: 210122
    record change date: 20260128152203.0
    record identifier: in00004559859