Serverless Data Processing with Dataflow Course Overview

Enroll for the 3-days, Serverless Data Processing with Dataflow training and certification course from Koenig solutions accredited by Google.

This course 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.

Target Audience

This course is ideal for:

  • Data engineers
  • Data analysts and data scientists aspiring to develop data engineering skills

Learning Objectives

Upon completion of this course, participants will be able to:

  • 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.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

  • 1. Do you have limited Window for training?
  • 2. Can you only spend 4-hours per day?
  • 3. Do you want to start training immediately?
  • If your answer is yes to any one of the above, you need 1-on-1- Training
The 1-on-1 Advantage
Methodology
Flexible Dates
4-Hour Sessions
  • View video
  • The course will be free if we are not able to start within 7 days of booking.
  • Only applicable for courses on which this logo appears.

You will learn:

Module 1: Introduction
  • Introduce the course objectives
  • Demonstrate how Apache Beam and Dataflow work together to fulfill your organization’s data processing needs
  • Summarize the benefits of the Beam Portability Framework
  • Customize the data processing environment of your pipeline using custom containers
  • Review use cases for cross-language transformations.
  • Enable the Portability framework 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.
  • Determine your capacity needs by inspecting the relevant quotas for your Dataflow jobs
  • Select your zonal data processing strategy using Dataflow, depending on your data locality needs.
  • Implement best practices for a secure data processing environment
  • Review main Apache Beam concepts (Pipeline, PCollections, PTransforms, Runner, reading/writing, Utility PTransforms, side inputs), bundles and DoFn Lifecycle
  • Implement logic to handle your late data.
  • Review different types of triggers.
  • Review core streaming concepts (unbounded PCollections, windows)
  • Write the I/O of your choice for your Dataflow pipeline.
  • Tune your source/sink transformation for maximum performance.
  • Create custom sources and sinks using SDF.
  • Introduce schemas, which give developers a way to express structured data in their Beam pipelines.
  • Use schemas to simplify your Beam code and improve the performance of your pipeline.
  • Identify use cases for state and timer API implementations.
  • Select the right type of state and timers for your pipeline.
  • Implement best practices for Dataflow pipelines.
  • Develop a Beam pipeline using SQL and DataFrames.
  • Prototype your pipeline in Python using Beam notebooks.
  • Use Beam magics to control the behavior of source recording in your notebook.
  • Launch a job to Dataflow from a notebook.
  • Navigate the Dataflow Job Details UI.
  • Interpret Job Metrics charts to diagnose pipeline regressions.
  • Set alerts on Dataflow jobs using Cloud Monitoring.
  • Use the Dataflow logs and diagnostics widgets to troubleshoot pipeline issues
  • Use a structured approach to debug your Dataflow pipelines.
  • Examine common causes for pipeline failures.
  • Understand performance considerations for pipelines
  • Consider how the shape of your data can affect pipeline performance
  • Testing approaches for your Dataflow pipeline
  • Review frameworks and features available to streamline your CI/CD workflow for Dataflow pipelines.
  • Implement reliability best practices for your Dataflow pipelines.
  • Using flex templates to standardize and reuse Dataflow pipeline code.
Live Online Training (Duration : 24 Hours) 1000 + If you accept merging of other students. Per Participant
Group Training
04 Jul - 06 Jul 09:00 AM - 05:00 PM CST
(8 Hours/Day)
01 Aug - 03 Aug 09:00 AM - 05:00 PM CST
(8 Hours/Day)
1-on-1 Public We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
Physical Classroom Training with 4 hours /8 hours option is available. Enquire Now!
Ultra-Fast Track

If you can't spare 24 hours. We can offer you an Ultra-Fast Track for 12 hours for only USD 800

Course Prerequisites

To get the most out of this course, participants should have completed the following courses:

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

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FAQ's


No, the published fee includes all applicable taxes.
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The Fee includes:
  • Courseware
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Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1-on-1 you can select your own schedule, other students can be merged but you select the schedule. Choose 1-on-1 if published schedule do not meet your requirement. If you also want a private session, opt for 1-on-1 Public.
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In both, you choose the schedule. In public, other participants can join, Private other participants want to join.
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