AWS Certified Big Data Specialty 2019 - In Depth and Hands On! [Video]

More Information
Learn
  • Maximize your odds of passing the AWS Certified Big Data exam
  • Move and transform massive data streams with Kinesis
  • Store big data with S3 and DynamoDB in a scalable, secure manner
  • Process big data with AWS Lambda and Glue ETL
  • Use the Hadoop ecosystem with AWS using Elastic MapReduce
  • Apply machine learning to massive datasets with Amazon ML, SageMaker, and deep learning
  • Analyze big data with Kinesis Analytics, Amazon Elasticsearch Service, Redshift, RDS, and Aurora
  • Visualize big data in the cloud using AWS QuickSight
About

The AWS Certified Big Data Specialty exam is one of the most challenging certification exams you can take from Amazon. Achieving this certification validates your knowledge of big data systems. But even experienced technologists need to prepare heavily for this exam. This course sets you up for success by taking you through all the big data technologies covered in the exam and explaining how they fit together.

Best-selling instructors Frank Kane and Stéphane Maarek have teamed up to deliver the most comprehensive and hands-on prep course yet. Together, they've taught over 300,000 people around the world. This course combines Stéphane's knowledge of AWS with Frank's experience in big data, gleaned during his 9-year career at Amazon. Both Frank and Stéphane have passed the exam themselves on the first try.

The world of big data on AWS includes a dizzying array of technologies and services. This course covers the following topics in depth:

• Streaming massive data with AWS Kinesis

• Queuing messages with Simple Queue Service (SQS)

• Wrangling explosion data from the Internet of Things (IoT)

• Transitioning from small to big data with the AWS Database Migration Service (DMS)

• Storing massive data lakes with the Simple Storage Service (S3)

• Optimizing transactional queries with DynamoDB

• Applying neural networks at massive scale with Deep Learning, MXNet, and TensorFlow

• Applying advanced machine learning algorithms at scale with Amazon SageMaker

• Analyzing streaming data in real time with Kinesis Analytics

• Searching and analyzing petabyte-scale data with Amazon Elasticsearch Service

• Querying S3 data lakes with Amazon Athena

• Hosting large-scale data warehouses with Redshift and Redshift Spectrum

• Integrating smaller data with your big data using the Relational Database Service (RDS) and Aurora

• Visualizing your data interactively with Quicksight

• Keeping your data secure with encryption, KMS, HSM, IAM, Cognito, STS, and more

Big data is an advanced certification, and it's best suited for anyone who has already obtained associate-level certification in AWS and has some data analytics experience.

If you want to take the AWS Certified Big Data Specialty exam with confidence, this course is what you need. All the code and supporting files for this course are available at - https://github.com/PacktPublishing/AWS-Certified-Big-Data-Specialty-2019---In-Depth-and-Hands-On-

Features
  • Explore Kinesis, EMR, DynamoDB, Redshift, and more
  • Get well-versed with the core concepts necessary to work with AWS big data
Course Length 11 hours 19 minutes
ISBN 9781838983383
Date Of Publication 31 May 2019

Authors