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: Real-Time Stream Processing Using Apache Spark 3 for Scala Developers
  name:
    name part: ScholarNest
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Safari, an O'Reilly Media Company
  type of resource: moving image
  genre: videorecording
  genre: Electronic videos.
  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 (1 video file, approximately 4 hr., 15 min.)
  abstract: A comprehensive course for Scala developers to create real-time stream processing applications with Apache Spark. About This Video Deep dive into Spark structured streaming APIs and architecture Discover streaming joins and aggregation Explore real-time stream processing concepts In Detail Since its inception, Apache Spark has seen rapid adoption by enterprises across a wide range of industries. So, mastering Apache Spark opens a wide range of professional opportunities. If you are a software engineer or architect and want to design or build your own projects, then this is the right course for you. This is a hands-on, example-driven, advanced course with demonstrations and coding sessions. This course will help you understand real-time stream processing using Apache Spark and later, you will be able to apply that knowledge to build real-time stream processing solutions. This course covers everything from scratch, which involves installing Apache Spark and seeing how to set up and run Apache Kafka. Furthermore, it introduces stream processing and how to work with files and directories. You will also explore Kafka serialization and deserialization for Spark and how to work with Kafka AVRO Source. And finally, the course wraps up with streaming Watermark and outer joints. By the end of this course, you will be able to design and develop big data engineering projects. You will be able to create real-time stream processing applications with Apache Spark. This course will also help you further your growth in real-time stream processing. Audience This course is designed for software engineers and architects who aspire to develop big data engineering projects using Apache Spark. Also, if you are a programmer and developer who wants to grow and learn data engineering using Apache Spark, then this course is for you. Another group of people that can opt for this course are the managers and architects who might not directly work with Spark implementation but still work with the…
  note: ScholarNest.
  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: 9781803242040
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record creation date: 230222
    record change date: 20260128154552.4
    record identifier: in00004560011