Practice exam included! AWS DAS-C01 certification prep course with exercises. Kinesis, EMR, DynamoDB, Redshift and more!
Instructed by Stephane Maarek 16.5 hours on-demand video & 10 articles
What you’ll learn
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Maximize your odds of passing the AWS Certified Data Analytics Specialty exam
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Move and transform massive data streams with Kinesis
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Store big data with S3 and DynamoDB in a scalable, secure manner
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Process big data with AWS Lambda and Glue ETL
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Use the Hadoop ecosystem with AWS using Elastic MapReduce
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Apply machine learning to massive data sets with Amazon ML, SageMaker, and deep learning
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Analyze big data with Kinesis Analytics, Amazon Elasticsearch Service, Redshift, RDS, and Aurora
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Visualize big data in the cloud using AWS QuickSight
The world of data analytics on AWS includes a dizzying array of technologies and services. Just a sampling of the topics we cover in-depth are:
- Streaming massive data with AWS Kinesis
- Queuing messages with Simple Queue Service (SQS)
- Wrangling the 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
- Tying your big data systems together with AWS Lambda
- Making unstructured data query-able with AWS Glue, Glue ETL, Glue DataBrew, Glue Studio, and Lake Formation
- Processing data at unlimited scale with Elastic MapReduce, including Apache Spark, Hive, HBase, Presto, Zeppelin, Splunk, and Flume
- 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 massive-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
Throughout the course, you’ll have lots of opportunities to reinforce your learning with hands-on exercises and quizzes. And when you’re done, this course includes a practice exam that’s very similar to the real exam in difficulty, length, and style – so you’ll know if you’re ready before you invest in taking it. We’ll also arm you with some valuable test-taking tips and strategies along the way.
Data analytics is an advanced certification, and it’s best tackled by students who have already obtained associate-level certification in AWS and have some real-world industry experience. This exam is not intended for AWS beginners.
Who this course is for:
- Experienced technologists seeking certification in Big Data technologies on Amazon Web Services.
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