Amazon Web Services (AWS) - Certified Big Data - Specialty

Duration

Duration:

Only 4 Days

Method

Method:

Classroom / Online / Hybrid

Next date

Next date:

24/6/2024 (Monday)

Overview

On this accelerated AWS Certified Big Data - Specialty course, you'll learn how to use cloud-based big data solutions, like Amazon Elastic MapReduce (EMR), Amazon Redshift and Amazon Kinesis, in just 4 days.

Use best practices to build big data environments for effective security by working with Amazon DynamoDB, Amazon Redshift and Amazon Kinesis. On Firebrand’s accelerated course, you’ll also learn how to:

  • Incorporate AWS solutions inside of a big data ecosystem
  • Use visualisation software to show data and queries
  • Control in-memory analytics with Spark and Spark SQL
  • Manage ingesting, transferring and compressing data
  • Process data using Hadoop tools like Hive and Hue

If you’re responsible for designing and implementing big data solutions, or a Data Scientist/Data Analyst who needs to learn more about big data on AWS, this course is ideal for you.

This accelerated course provides training and knowledge equivalent to AWS’s Big Data on AWS course.

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

  • Module 1- Overview of Big Data
  • Module 2 - Big Data Ingestion and Transfer
  • Module 3 - Big Data Streaming and Amazon Kinesis
  • Module 4 - Big Data Storage Solutions
  • Module 5 - Big Data Processing and Analytics
  • Module 6 - Apache Hadoop and Amazon EMR
  • Module 7 - Using Amazon EMR
  • Module 8 - Hadoop Programming Frameworks
  • Module 9 - Web Interfaces on Amazon EMR
  • Module 10 - Apache Spark on Amazon EMR
  • Module 11 - Using AWS Glue to automate ETL Workloads
  • Module 12 - Amazon Redshift and Big Data
  • Module 13 - Securing Your Amazon Deployments
  • Module 14 - Managing Big Data Costs
  • Module 15 - Visualising and Orchestrating Big Data
  • Module 16 - Big Data Design Patterns

Exam Track

You'll sit the following exam at the Firebrand Training centre, covered by your Certification Guarantee:

  • AWS Certified Big Data - Specialty
    • Number: BDS-C00
    • Format: Multiple choice and multiple response
    • Duration: 170 minutes
    • Domains
      • Domain 1: Collection (17%)
      • Domain 2: Storage (17%)
      • Domain 3: Processing (17%)
      • Domain 4: Analysis (17%)
      • Domain 5: Visualisation (12%)
      • Domain 6: Data Security (20%)

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

To achieve your AWS certification, you should have a minimum of two years' experience using AWS technology and be able to:

  • Independently define AWS architecture and services and understand how they integrate with each other
  • Define and architect AWS big data services and explain how they fit in the data lifecycle of collection, ingestion, storage, processing, and visualisation

You should also possess at least five years' experience in a data analytics field and understand:

  • How to control access to secure data
  • The frameworks that underpin large scale distributed systems like Hadoop/Spark and MPP data warehouses
  • The tools and design platforms that allow processing of data from multiple heterogeneous sources with difference frequencies (batch/real-time)
  • How to design a scalable and cost-effective architecture to process data

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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