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Building Data Analytics Solutions Using Amazon Redshift

( Duration: 1 Day )

This Building Data Analytics Solutions using Amazon Redshift training course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift.

By attending Building Data Analytics Solutions using Amazon Redshift workshop, delegates will learn to:

  • Compare the features and benefits of data warehouses, data lakes, and modern data architectures
  • Design and implement a data warehouse analytics solution
  • Identify and apply appropriate techniques, including compression, to optimize data storage
  • Select and deploy appropriate options to ingest, transform, and store data
  • Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
  • Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
  • Secure data at rest and in transit
  • Monitor analytics workloads to identify and remediate problems
  • Apply cost management best practices

  • Attend a training on AWS Technical Essentials or Architecting on AWS or equivalent practical experience.
  • Attend a training on Building Data Lakes on AWS or equivalent practical experience.

The Building Data Analytics Solutions using Amazon Redshift class is ideal for:

  • Data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines.



Overview of Data Analytics and the Data Pipeline

  • Data analytics use cases
  • Using the data pipeline for analytics

Using Amazon Redshift in the Data Analytics Pipeline

  • Why Amazon Redshift for data warehousing?
  • Overview of Amazon Redshift

Introduction to Amazon Redshift

  • Amazon Redshift architecture
  • Amazon Redshift features

Ingestion and Storage

  • Ingestion
  • Data distribution and storage
  • Querying data in Amazon Redshift

Processing and Optimizing Data

  • Data transformation
  • Advanced querying
  • Resource management
  • Automation and optimization

Security and Monitoring of Amazon Redshift Clusters

  • Securing the Amazon Redshift cluster
  • Monitoring and troubleshooting Amazon Redshift clusters

Designing Data Warehouse Analytics Solutions

  • Data warehouse use case review

Developing Modern Data Architectures on AWS

  • Modern data architectures

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 6,000 various courses on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

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Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.