Building Streaming Data Analytics Solutions on AWS (BSDASA)

 

Course Overview

In this course, you will learn to build streaming data analytics solutions using AWS services, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK). Amazon Kinesis is a massively scalable and durable real-time data streaming service. Amazon MSK offers a secure, fully managed, and highly available Apache Kafka service. You will learn how Amazon Kinesis and Amazon MSK integrate with AWS services such as AWS Glue and AWS Lambda. The course addresses the streaming data ingestion, stream storage, and stream processing components of the data analytics pipeline. You will also learn to apply security, performance, and cost management best practices to the operation of Kinesis and Amazon MSK.

Who should attend

This course is intended for:

  • Data engineers and architects
  • Developers who want to build and manage real-time applications and streaming data analytics solutions

Prerequisites

We recommend that attendees of this course have:

  • At least one year of data analytics experience or direct experience building real-time applications or streaming analytics solutions. We suggest the Streaming Data Solutions on AWS whitepaper for those that need a refresher on streaming concepts.
  • Completed either Architecting on AWS (AWSA) or Data Analytics Fundamentals
  • Completed Building Data Lakes on AWS (BDLA)

Course Objectives

In this course, you will learn to:

  • Understand the features and benefits of a modern data architecture. Learn how AWS streaming services fit into a modern data architecture.
  • Design and implement a streaming data analytics solution
  • Identify and apply appropriate techniques, such as compression, sharding, and partitioning, to optimize data storage
  • Select and deploy appropriate options to ingest, transform, and store real-time and near real-time data
  • Choose the appropriate streams, clusters, topics, scaling approach, 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 streaming data at rest and in transit
  • Monitor analytics workloads to identify and remediate problems
  • Apply cost management best practices

Prijs & Delivery methods

Online training

Duur
1 dag

Prijs
  • 750,– €
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Klassikale training

Duur
1 dag

Prijs
  • Benelux: 750,– €
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Beschikbare data

Fast Lane will carry out all guaranteed training regardless of the number of attendees, exempt from force majeure or other unexpected events, like e.g. accidents or illness of the trainer, which prevent the course from being conducted.
Instructor-led Online Training:   Dit is een Instructor-Led Online (ILO) training: een online training verzorgd door een trainer. If you have any questions about our online courses, feel free to contact us via phone or Email anytime.
Dit is een FLEX-training: een training die zowel klassikaal als online gevolgd kan worden. Je kiest zelf de gewenste leervorm.

Engels

Tijdzone: Midden-Europese Zomertijd (MEZT)   ±1 uur

Online training Tijdzone: Midden-Europese Zomertijd (MEZT) Taal: Engels Gegarandeerde doorgang
Online training Tijdzone: British Summer Time (BST) Taal: Engels Gegarandeerde doorgang
Online training Tijdzone: Greenwich Mean Time (GMT) Taal: Engels
Dit is een FLEX-training: een training die zowel klassikaal als online gevolgd kan worden. Je kiest zelf de gewenste leervorm.

Europa

Zwitserland

 Zürich Dit is een FLEX-training.   Tijdzone: Midden-Europese Zomertijd (MEZT) boek direct:
de online FLEX-training
de klassikale FLEX-training
Zürich Dit is een FLEX-training.   Tijdzone: Midden-Europese Zomertijd (MEZT) boek direct:
de online FLEX-training
de klassikale FLEX-training
Zürich Dit is een FLEX-training.   Tijdzone: Midden-Europese Tijd (MET) boek direct:
de online FLEX-training
de klassikale FLEX-training