AWS Certified Big Data Specialty

This course is for Big Data users interested in achieving AWS Big Data certification at Professional level. Learn AWS Certified Big Data Specialty programming from AWS Certified Big Data

This course will take place in 3-4 Kirby Street, London, EC1N 8TS. Find on map
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Upcoming dates

There are no open public schedule dates for AWS Certified Big Data Specialty course. We can offer you a private training or arrange a public course for you. Contact us here and we can make arrangements for your course.

Course Outline

AWS Certified Big Data Specialty course overview

This AWS Certified Big Data Specialty course helps Big Data users to prepare for Big Data Specialty certification.

Big Data on AWS introduces you to cloud-based big data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis and the rest of the AWS big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We also teach you how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon Quicksight, Amazon Athena and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.

 

This course teaches you how to:

  • Fit AWS solutions inside of a big data ecosystem
  • Leverage Apache Hadoop in the context of Amazon EMR
  • Identify the components of an Amazon EMR cluster
  • Launch and configure an Amazon EMR cluster
  • Leverage common programming frameworks available for Amazon EMR including Hive, Pig, and Streaming
  • Leverage Hue to improve the ease-of-use of Amazon EMR
  • Use in-memory analytics with Spark on Amazon EMR
  • Choose appropriate AWS data storage options
  • Identify the benefits of using Amazon Kinesis for near real-time big data processing
  • Leverage Amazon Redshift to efficiently store and analyze data
  • Comprehend and manage costs and security for a big data solution
  • Secure a Big Data solution
  • Identify options for ingesting, transferring, and compressing data
  • Leverage Amazon Athena for ad-hoc query analytics
  • Use visualization software to depict data and queries using Amazon QuickSight
  • Orchestrate big data workflows using AWS Data Pipeline

Few practical AWS Big Data exercises on this course will ensure that you can apply AWS Big Data services at your work. 

This short AWS Certified Big Data Specialty course is hands-on, instructor-led and classroom based. This training can be taken as a part-time evening course or even on the weekends. A list of all upcoming public AWS Certified Big Data Specialty training course is given on training dragon website.


Who is AWS Certified Big Data Specialty training for?

This course is intended for:

  • Individuals responsible for designing and implementing big data solutions, namely Solutions Architects
  • Data Scientists and Data Analysts interested in learning about the services and architecture patterns behind big data solutions on AWS


Prerequisites for AWS Certified Big Data Specialty course

We recommend that attendees of this course have the following prerequisites:

  • Basic familiarity with big data technologies, including Apache Hadoop, MapReduce, HDFS, and SQL/NoSQL querying
  • Students should complete the free Big Data Technology Fundamentals web-based training or have equivalent experience
  • Working knowledge of core AWS services and public cloud implementation
  • Students should complete the AWS Technical Essentials course or have equivalent experience
  • Basic understanding of data warehousing, relational database systems, and database design

If you require any help with above requirements, please contact us and we will suggest you the relevant training.  

 


What will I get?

  • Training from professional AWS Big Data Specialists:

    Training Dragon consultants have been implementing professional AWS services for many years. Those consultants write and teach our AWS Certified Big Data Specialty training courses, so their experience directly informs course content.

  • Real-time Practice and Projects:

    Our AWS Certified Big Data Specialty courses are designed to get you started in AWS as Big Data . We work on industry related exercises in this AWS Certified Big Data Specialty course.

  • Course Material:

     AWS Certified Big Data Specialty electronic notes are included in this course.

  • Course Completion Certificate:

    After completing this training you will receive a AWS Certified Big Data Specialty course completion certificate.

  • Support and Careers Advice:

    After the course if you have any problems or questions regarding AWS Programming do not hesitate to contact us. Training Dragon’s trainers are expert in their fields and if you need any help with you career choice, please speak to one of our trainers.


AWS Certified Big Data Specialty Course Contents

Day 1

  • Overview of Big Data
  • Big Data Ingestion and Transfer
  • Big Data Streaming and Amazon Kinesis
  • Lab 1: Using Amazon Kinesis to Stream and Analyze Apache Server Log Data
  • Big Data Storage Solutions
  • Big Data Processing and Analytics
  • Lab 2: Using Amazon Athena to Query Log Data From Amazon S3

Day 2

  • Apache Hadoop and Amazon EMR
  • Lab 3: Storing and Querying Data on Amazon DynamoDB
  • Using Amazon EMR
  • Hadoop Programming Frameworks
  • Lab 4: Processing Server Logs With Hive on Amazon EMR
  • Web Interfaces on Amazon EMR
  • Lab 5: Running Pig Scripts in Hue on Amazon EMR
  • Apache Spark on Amazon EMR
  • Lab 6: Processing NY Taxi data using Spark on Amazon EMR

Day 3

  • Amazon Redshift and Big Data
  • Visualizing and Orchestrating Big Data
  • Lab 7: Using TIBCO Spotfire to Visualize Data
  • Managing Big Data Costs
  • Securing Your Amazon Deployments
  • Big Data Design Patterns

 

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Looking for a
2-12 months
training?

Choose

Web Developer career programme

Our Trainers

Emiliano
Emiliano
Leads our teaching team with many years of experience in teaching web development.
Ross
Ross
Brings many years of Python and Java software development experience to classrooms.
Olu
Olu
Microsoft and Oracle certified developer with years teaching experience in Android, .NET and databases.

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