Building Modern Data Analytics Solutions on AWS

Length 4 days
Price ~~$3820~~ $1100 inc GST

Course overview

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Why study this course

Learn how to unlock the value of data and turn it into insights.

The Building Modern Data Analytics Solutions on AWS intermediate level course dives deep into Amazon Lake Formation, Amazon Glue, Amazon EMR, Amazon Kinesis, and Amazon Redshift and the current thinking in building and operating data analytics pipelines to turn data into insights.

This course is a collection of four one-day, intermediate level courses:

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What you’ll learn

This course is designed to teach participants how to:

How to leverage AWS data Services to store, process, analyse, stream, and query data to make decisions with speed and agility at scale
How to modernise data solutions end to end
Skills to put your data to work to make better, more informed decisions, respond faster to the unexpected, and uncover new opportunities

AWS at Lumify Work

Lumify Work is an official AWS Training Partner for Australia, New Zealand, and the Philippines. Through our Authorised AWS Instructors, we can provide you with a learning path that’s relevant to you and your organisation, so you can get more out of the cloud. We offer virtual and face-to-face classroom-based training to help you build your cloud skills and enable you to achieve industry-recognised AWS Certification.

Who is the course for?

Data warehouse engineers
Data platform engineers
Solutions architects

Course subjects

Building Data Lakes on AWS

Module 1: Introduction to data lakes
Module 2: Data ingestion, cataloging, and preparation
Module 3: Data processing and analytics
Module 4: Building a data lake with AWS Lake Formation
Module 5: Additional Lake Formation configurations
Module 6: Architecture and course review

Building Batch Data Analytics Solutions on AWS

Module A: Overview of Data Analytics and the Data Pipeline
Module 1: Introduction to Amazon EMR
Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage
Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR
Module 4: Processing and Analysing Batch Data with Amazon EMR and Apache Hive
Module 5: Serverless Data Processing
Module 6: Security and Monitoring of Amazon EMR Clusters
Module 7: Designing Batch Data Analytics Solutions
Module B: Developing Modern Data Architectures on AWS

Building Data Analytics Solutions using Amazon Redshift

Module 1: Using Amazon Redshift in the Data Analytics Pipeline
Module 2: Introduction to Amazon Redshift
Module 3: Ingestion and Storage
Module 4: Processing and Optimising Data
Module 5: Security and Monitoring of Amazon Redshift Clusters
Module 6: Designing Data Warehouse Analytics Solutions

Building Streaming Data Analytics Solutions on AWS

Module 1: Using Streaming Services in the Data Analytics Pipeline
Module 2: Introduction to AWS Streaming Services
Module 3: Using Amazon Kinesis for Real-time Data Analytics
Module 4: Securing, Monitoring, and Optimising Amazon Kinesis
Module 5: Using Amazon MSK in Streaming Data Analytics Solutions
Module 6: Securing, Monitoring, and Optimising Amazon MSK
Module 7: Designing Streaming Data Analytics Solutions

Please note: This is an emerging technology course. Course outline is subject to change as needed.

Prerequisites

We recommend that attendees of this course have:

Completed either AWS Technical Essentials or Architecting on AWS or have equivalent knowledge

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.