eBook
View in EDS

Mastering Kafka Streams and KsqlDB

Bibliographic Details
Title: Mastering Kafka Streams and KsqlDB
Description: Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide shows data engineers how to use these tools to build highly scalable stream processing applications for moving, enriching, and transforming large amounts of data in real time.Mitch Seymour, data services engineer at Mailchimp, explains important stream processing concepts against a backdrop of several interesting business problems. You'll learn the strengths of both Kafka Streams and ksqlDB to help you choose the best tool for each unique stream processing project. Non-Java developers will find the ksqlDB path to be an especially gentle introduction to stream processing.Learn the basics of Kafka and the pub/sub communication patternBuild stateless and stateful stream processing applications using Kafka Streams and ksqlDBPerform advanced stateful operations, including windowed joins and aggregationsUnderstand how stateful processing works under the hoodLearn about ksqlDB's data integration features, powered by Kafka ConnectWork with different types of collections in ksqlDB and perform push and pull queriesDeploy your Kafka Streams and ksqlDB applications to production
Authors: Mitch Seymour
Resource Type: eBook.
Subjects: Electronic data processing--Structured techniques
Categories: COMPUTERS / Business & Productivity Software / Databases, COMPUTERS / Certification Guides / General
Database: eBook Index
FullText Text:
  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 2746086
RelevancyScore: 956
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 955.975708007813
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Mastering Kafka Streams and KsqlDB
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide shows data engineers how to use these tools to build highly scalable stream processing applications for moving, enriching, and transforming large amounts of data in real time.Mitch Seymour, data services engineer at Mailchimp, explains important stream processing concepts against a backdrop of several interesting business problems. You'll learn the strengths of both Kafka Streams and ksqlDB to help you choose the best tool for each unique stream processing project. Non-Java developers will find the ksqlDB path to be an especially gentle introduction to stream processing.Learn the basics of Kafka and the pub/sub communication patternBuild stateless and stateful stream processing applications using Kafka Streams and ksqlDBPerform advanced stateful operations, including windowed joins and aggregationsUnderstand how stateful processing works under the hoodLearn about ksqlDB's data integration features, powered by Kafka ConnectWork with different types of collections in ksqlDB and perform push and pull queriesDeploy your Kafka Streams and ksqlDB applications to production
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Mitch+Seymour%22">Mitch Seymour</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Electronic+data+processing--Structured+techniques%22">Electronic data processing--Structured techniques</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Business+%26+Productivity+Software+%2F+Databases%22">COMPUTERS / Business & Productivity Software / Databases</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Certification+Guides+%2F+General%22">COMPUTERS / Certification Guides / General</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2746086
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 004.21
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Electronic data processing--Structured techniques
        Type: general
    Titles:
      – TitleFull: Mastering Kafka Streams and KsqlDB
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Mitch Seymour
      – PersonEntity:
          Name:
            NameFull: Mitch Seymour
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
            – D: 24
              M: 02
              Type: profile
              Y: 2021
          Identifiers:
            – Type: isbn-print
              Value: 9781492062493
            – Type: isbn-electronic
              Value: 9781492062462
          Titles:
            – TitleFull: Mastering Kafka Streams and KsqlDB
              Type: main
ResultId 1