Amazon Web Services (AWS) - Building Batch Data Analytics Solutions on AWS

Duration

Duration:

Only 1 Day

Method

Method:

Classroom / Online / Hybrid

Next date

Next date:

24/6/2024 (Monday)

Overview

On this accelerated AWS: Building Batch Data Analytics Solutions on AWS course, you will develop an understanding of how to build batch data analytics solutions using Amazon EMR. Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase.

In only 1 day you will learn how to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn how to:

  • Design and implement a batch data analytics solution
  • Identify and apply appropriate techniques, including compression, to optimize data storage
  • Monitor analytics workloads to identify and remediate problems
  • Apply cost management best practices

 

At the end of this course, you will sit the AWS exam and achieve your AWS: Building Batch Data Analytics Solutions on AWS certification. Through Firebrand’s Lecture | Lab | Review methodology you’ll certify at twice the speed of traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

This course is ideal for:

  • Open-source data framework managers
  • Data platform engineers
  • Database Managers

Benefits

Other accelerated training providers rely heavily on lecture and independent self-testing and study.

Effective technical instruction must be highly varied and interactive to keep attention levels high, promote camaraderie and teamwork between the students and instructor, and solidify knowledge through hands-on learning.

Firebrand Training provides instruction to meet every learning need:

  • Intensive group instruction
  • One-on-one instruction attention
  • Hands-on labs
  • Lab partner and group exercises
  • Question and answer drills
  • Independent study

Curriculum

Building Batch Data Analytics Solutions on AWS

Module 1: Overview of Data Analytics and the Data Pipeline

Module 2: Introduction to Amazon EMR

Module 3: Data Analytics Pipeline

Module 4: High-Performance Batch Data Analytics

Module 5: Processing and Analysing Batch Data with Amazon EMR and Apache Hive

Module 6: Serverless Data Processing

Module 7: Security and Monitoring of Amazon EMR Clusters

Module 8: Designing Batch Data Analytics Solutions

Module 9: Developing Modern Data Architectures on AWS

Exam Track

There is no exam track for this course

What's Included

Your accelerated course includes:

  • Accommodation *
  • Meals, unlimited snacks, beverages, tea and coffee *
  • On-site exams **
  • Exam vouchers **
  • Practice tests **
  • Certification Guarantee ***
  • Courseware
  • Up-to 12 hours of instructor-led training each day
  • 24-hour lab access
  • Digital courseware **
  • * For residential training only. Accommodation is included from the night before the course starts. This doesn't apply for online courses.
  • ** Some exceptions apply. Please refer to the Exam Track or speak with our experts
  • *** Pass first time or train again free as many times as it takes, unlimited for 1 year. Just pay for accommodation, exams, and incidental costs.

Prerequisites

Before attending this accelerated course, you should have:

  • Minimum one-year experience managing open-source data frameworks
  • AWS Hadoop Fundamentals
  • Either one of the following certifications: AWS Technical Essentials, Architecting on AWS, Building Data Lakes on AWS or Getting Started with AWS Glue.

Unsure whether you meet the prerequisites? Don’t worry. Your training consultant will discuss your background with you to understand if this course is right for you.

Reviews

Here's the Firebrand Training review section. Since 2001 we've trained exactly 134561 students and asked them all to review our Accelerated Learning. Currently, 96.41% have said Firebrand exceeded their expectations.

Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.


"Highly recommended!"
Yuchen Wang, Engineer. (8/5/2023 (Monday) to 11/5/2023 (Thursday))

"Great instructor, very disciplined, good knowledge and very patiently explained. Its like a boot camp and a very structured approach is taken to make you ready for exam and also increase your knowledge. Any one can join if you meet the prerequisites."
Mahesh Kukrani. (8/5/2023 (Monday) to 11/5/2023 (Thursday))

"Very skilled teacher and helpful discussions."
Anonymous (8/5/2023 (Monday) to 11/5/2023 (Thursday))

"Thanks for this intensive and quite productive training session !"
Alain Dedeurwaerder. (22/5/2018 (Tuesday) to 24/5/2018 (Thursday))

"Very impressed with the dedication from the instructor and how well structured the sessions are. The course is very intense since it's only 3 days long, however, the quality of the training makes it worthwhile. I'd recommend going in person since you will find it much easier to focus and likely get more out of the course overall."
Simon Brown, Softcat. (8/9/2023 (Friday) to 10/9/2023 (Sunday))

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