Building a Serverless Data Lake on AWS Training

Building a Serverless Data Lake on AWS Certification Training Course Overview

Enroll for the 1-day Building a Serverless Data Lake on AWS certification training course from Koenig Solutions accredited by AWS. This course teach you how to design, build, and operate a serverless data lake solution with AWS services. 

Through a blend of hands-on labs and interactive lectures you will also learn to  ingesting data from any data source at large scale, storing the data securely and durably, enabling the capability to use the right tool to process large volumes of data, and understanding the options available for analyzing the data in near-real time.

Target Audience:

This course is intended for:

  • Solutions architects
  • Big Data developers
  • Data architects and analysts
  • Data analysis practitioners

Learning Objectives:

After completing this course, you will be able to:

  • Collect large amounts of data using services such as Amazon Kinesis Data Streams and Amazon Kinesis Data Firehose and store the data durably and securely in Amazon Simple Storage Service (Amazon S3)
  • Create a metadata index of your data lake
  • Choose the best tools for ingesting, storing, processing, and analyzing your data in the lake
  • Apply the knowledge to hands-on labs that provide practical experience with building an end-to-end solution
  • Configure Amazon Simple Notification Service (Amazon SNS) to audit, monitor, and receive event notifications about activities in the data warehouse
  • Prepare for operational tasks, such as resizing Amazon Redshift clusters and using snapshots to back up and restore clusters
  • Use a business intelligence (BI) application to perform data analysis and visualization tasks against your data

 

Building a Serverless Data Lake on AWS Training (Duration : 8 Hours) Download Course Contents

Live Virtual Classroom Fee For Both Group Training & 1-on-1 Training On Request
Group Training Date On Request
1-on-1 Training (GTR)
4 Hours
8 Hours
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Week End

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12 PM

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Course Prerequisites
  • Good working knowledge of AWS core services, including Amazon Elastic Compute Cloud (EC2) and Amazon Simple Storage Service (S3).
  • Some experience working with a programming or scripting language.
  • Familiarity with the Linux operating system and command line interface.