Apache Beam | Future of Big Data

Build Big data pipelines with Apache Beam that can run on Spark, Flink, GCP (Google Cloud Dataflow) and many more.
Rating: 4.4 out of 5 (56 ratings)
1,166 students
Apache Beam | Future of Big Data
Rating: 4.4 out of 5 (56 ratings)
1,166 students
Apache Beam

Requirements

  • Basic Python
Description

Apache Beam is future of Big Data technology. This course will introduce Apache Beam and then discuss the architecture, terminologies and various transformations  that are used in Apache Beam. This course is for beginners and who want to learn how Apache Beam can be used instead of other popular framework such as Apache Spark, Flink etc.

Who this course is for:
  • Big data learners
Curriculum
3 sections • 21 lectures • 2h 0m total length
  • Course Intro
  • Apache Beam Intro
  • Architecture
  • Apache Beam Flow
  • Pcollection
  • Installation
  • Getting Started
  • Learn BigData
  • Enroll into Big Data Course
  • Read Input
  • Write Output
  • Map/FlatMap
  • Pardo
  • CoGroupByKey
  • Partition
  • Flatten
  • Composite Transformation
  • Streamiing intro
  • Google PubSub Intro
  • Google PubSub Example
  • Its not the end

Instructor
Technical Trainer
Navdeep Kaur
  • 4.4 Instructor Rating
  • 778 Reviews
  • 11,700 Students
  • 7 Courses

I am a big data professional with 11 years of industry experience in different technologies and domains. I have keen interest in providing training in new technologies. I have received CCA175 Hadoop and Spark developer certification  and  AWS solution architect certification. I love guiding people and helping them achieve new goals.