09-15-2019, 10:44 PM
![[Image: cde6e478de9aa9008492d6002a01d429.jpg]](https://i90.fastpic.ru/big/2019/0906/29/cde6e478de9aa9008492d6002a01d429.jpg)
AWS Certified Big Data Specialty 2019 - In Depth and Hands On
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 11 Hours 19M | 3.01 GB
Genre: eLearning | Language: English
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 StГ©phane 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 StГ©phane's knowledge of AWS with Frank's experience in big data, gleaned during his 9-year career at Amazon. Both Frank and StГ©phane 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
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