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Building Streaming Data Analytics Solutions on AWS

Cost
$675 USD
Course Code
AWS-DA-STREAM
Duration
1 Day
Format
Live Virtual Class

Course Schedule

Building Streaming Data Analytics Solutions on AWS

$675.00

SCHEDULED, Aug.08.2024 - Aug.08.2024 (1 day), 09:00 AM - 05:00 PM US Eastern
SCHEDULED, Oct.14.2024 - Oct.14.2024 ( 1 day), 09:00 AM - 05:00 PM US Eastern
SCHEDULED, Jan.20.2025 - Jan.20.2025 ( 1 day), 09:00 AM - 05:00 PM US Eastern
SCHEDULED, Apr.21.2025 - Apr.21.2025 ( 1 day), 09:00 AM - 05:00 PM US Pacific
$675.00
$675.00
$675.00
$675.00
SKU: AWS-DA-STREAM Categories: , ,

Description

The course dives deep into Amazon Kinesis and Amazon MSK through a mixture of instructor-led presentations, practice labs, demonstrations, and class exercises so you can walk away understanding how to build a streaming data analytics solution on AWS. You’ll also learn how to scale streaming applications using Amazon Kinesis, optimize data storage, how to select and deploy appropriate options to ingest, transform, store, and analyze data, and more.

This course is part of the Building Modern Data Analytics Solutions on AWS collection of four, one-day, intermediate-level classroom training courses.

Overview

Learn to design and implement streaming data analytics solutions using AWS Services with an expert AWS instructor.

The course dives deep into Amazon Kinesis and Amazon MSK through a mixture of instructor-led presentations, practice labs, demonstrations, and class exercises so you can walk away understanding how to build a streaming data analytics solution on AWS. You’ll also learn how to scale streaming applications using Amazon Kinesis, optimize data storage, how to select and deploy appropriate options to ingest, transform, store, and analyze data, and more.

This course is part of the Building Modern Data Analytics Solutions on AWS collection of four, one-day, intermediate-level classroom training courses.

Audience

Who should take this course

    • Data and data platform engineers
    • Solutions architects
    • Data Architects
    • Developers who want to build and manage streaming data analytics pipelines

Suggested Prerequisites

What experience you’ll need

  • Students with a minimum one-year experience managing data analytics solutions or streaming data will benefit from this course
  • We suggest the Streaming Data Solutions on AWS whitepaper for those that need a refresher on streaming concepts

We recommend that attendees of this course have:

  • Completed Architecting on AWS
  • Completed Building Data Lakes on AWS

Topics

What you’ll learn

  • Compare the features and benefits of data warehouses, data lakes, and modern data architectures
  • Design and implement a streaming data analytics solution
  • Identify and apply appropriate techniques, including compression, to optimize data storage
  • Select and deploy appropriate options to ingest, transform, and store data
  • And much more

Description

The course dives deep into Amazon Kinesis and Amazon MSK through a mixture of instructor-led presentations, practice labs, demonstrations, and class exercises so you can walk away understanding how to build a streaming data analytics solution on AWS. You’ll also learn how to scale streaming applications using Amazon Kinesis, optimize data storage, how to select and deploy appropriate options to ingest, transform, store, and analyze data, and more.

This course is part of the Building Modern Data Analytics Solutions on AWS collection of four, one-day, intermediate-level classroom training courses.

Overview

Learn to design and implement streaming data analytics solutions using AWS Services with an expert AWS instructor.

The course dives deep into Amazon Kinesis and Amazon MSK through a mixture of instructor-led presentations, practice labs, demonstrations, and class exercises so you can walk away understanding how to build a streaming data analytics solution on AWS. You’ll also learn how to scale streaming applications using Amazon Kinesis, optimize data storage, how to select and deploy appropriate options to ingest, transform, store, and analyze data, and more.

This course is part of the Building Modern Data Analytics Solutions on AWS collection of four, one-day, intermediate-level classroom training courses.

Audience

Who should take this course

    • Data and data platform engineers
    • Solutions architects
    • Data Architects
    • Developers who want to build and manage streaming data analytics pipelines

Suggested Prerequisites

What experience you’ll need

  • Students with a minimum one-year experience managing data analytics solutions or streaming data will benefit from this course
  • We suggest the Streaming Data Solutions on AWS whitepaper for those that need a refresher on streaming concepts

We recommend that attendees of this course have:

  • Completed Architecting on AWS
  • Completed Building Data Lakes on AWS

Topics

What you’ll learn

  • Compare the features and benefits of data warehouses, data lakes, and modern data architectures
  • Design and implement a streaming data analytics solution
  • Identify and apply appropriate techniques, including compression, to optimize data storage
  • Select and deploy appropriate options to ingest, transform, and store data
  • And much more

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