Overview

The next generation of Dataflow: Dataflow Prime, Dataflow Go, and Dataflow ML.

This training is intended for big data practitioners who want to further their understanding of Dataflow in order to advance their data processing applications.

Beginning with foundations, this training explains how Apache Beam and Dataflow work together to meet your data processing needs without the risk of vendor lock-in. The section on developing pipelines covers how you convert your business logic into data processing applications that can run on Dataflow.

This training culminates with a focus on operations, which reviews the most important lessons for operating a data application on Dataflow, including monitoring, troubleshooting, testing, and reliability

Skills Covered

  • Demonstrate how Apache Beam and Dataflow work together to fulfill your organization’s data processing needs.
  • Summarize the benefits of the Beam Portability Framework and enable it for your Dataflow pipelines.
  • Enable Shuffle and Streaming Engine, for batch and streaming pipelines respectively, for maximum performance.
  • Enable Flexible Resource Scheduling for more cost-efficient performance.
  • Select the right combination of IAM permissions for your Dataflow job.
  • Implement best practices for a secure data processing environment.
  • Select and tune the I/O of your choice for your Dataflow pipeline.
  • Use schemas to simplify your Beam code and improve the performance of your pipeline.
  • Develop a Beam pipeline using SQL and DataFrames.
  • Perform monitoring, troubleshooting, testing and CI/CD on Dataflow pipelines.

Who Should Attend

  • Data Engineer
  • Data Analysts and Data Scientists aspiring to develop Data Engineering skills

Course Curriculum

Prerequisites

  • Completed “Building Batch Data Pipelines”
  • Completed “Building Resilient Streaming Analytics Systems

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Course Modules

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Training Options

Intake: Available Upon Request
Duration: 3 Days
Guaranteed: TBC
Modality: ILT
Price:

RM7,200.00Enroll Now

Exam:
Intake: Available Upon Request
Duration: 3 Days
Guaranteed: TBC
Modality: VILT
Price:

RM7,200.00Enroll Now

Exam:

Exam & Certification

Google Cloud Professional Data Engineer

Google Professional Data Engineers enable data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability.

A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.

Training & Certification Guide

Frequently Asked Questions