AWS Certified Big Data Specialty – In Depth & Hands On!

What you will learn.

You should maximize your chances of passing the exam. Kinesis can move and transform massive data streams. Store big data in a secure way. Glue ETL is used to process big data. Elastic MapReduce can be used with the Hadoop ecosystem. Machine learning can be applied to massive data sets. Big data can be analyzed with Kinesis Analytics, Redshift, RDS, and Aurora. It’s possible to see big data in the cloud.

There are requirements.

You have to have an account with Amazon Web Services to follow the hands-on activities. It costs us $5 to use the services, but they will cost a few dollars. It is recommended that you get an associate-level certification before taking the Big Data exam. It is a challenging exam.

There is a description.

[v2020: The course is fully updated today and will be kept up-to-date all of 2020, including for the new AWS Certified Data Analytics – Specialty DAS-C01 exam revision (the update will be provided for free in this course). Happy learning! ]

One of the most challenging certifications you can take from Amazon is the Certified Big Data Specialty Exam. It tells employers that you know a lot about big data systems. Even experienced technologists need to prepare a lot for this exam. All of the big data technologies on the exam are covered in this course.

The most comprehensive and hands-on prep course we have seen was delivered by Frank Kane and Stéphane Maarek. Over 300,000 people have been taught by them. During his 9-year career at Amazon, Frank gained a lot of experience in Big Data. Frank and Stéphane both passed the exam on the first try.

There are a lot of technologies and services in the world of big data. We cover a lot of topics in-depth.

Huge data can be streamed with Kinesis.

Simple Queue Service (SQS) is used to archive messages.

The explosion data from the Internet of Things.

Transitioning from small to big data with the service.

Simple Storage Service (S3) is used to store massive data lakes.

Optimizing queries with a database.

Get it immediately. It’s a big data specialty that’s in depth and hands on.

Tying your big data systems together.

Making data queryable with Glue.

Elastic MapReduce is used to process data at unlimited scale.

Predicting values and classifications with the Amazon Machine Learning Service.

Neural networks are applied at massive scale.

Applying machine learning at scale.

Kinesis Analytics is able to analyze streaming data in real-time.

Amazon Elasticsearch Service is used for searching and analyzing large amounts of data.

S3 data lakes can be queried with Amazon Athena.

There are massive-scale data warehouses with Redshift and Redshift Spectrum.

The RDS and Aurora are used to integrate smaller data with big data.

It’s possible to visualize your data with Quicksight.

Keeping your data secure with a variety of security tools.

There are many opportunities to reinforce your learning with hands-on exercises and quizzes. This course includes a practice exam that is very similar to the real exam in difficulty, length, and style, so you will know if you are ready before you take it. Along the way, we will give you valuable test-taking tips and strategies.

Big Data is an advanced certification and it is best tackled by students who have already obtained associate-level certification in Amazon Web Services and have some real-world industry experience. This exam is not for beginners.

This course will give you the confidence to take the Big Data Specialty Exam. We are excited to see you in the course and to see you get your certification. Who this course is for?

There are experienced technologists looking for certification in Big Data technologies.