Description
The Amazon Big Data Specialty takes a deeper dive into the AWS services that help collect, store, process, and analyze data. During this course, we will expand on our knowledge of S3 and DynamoDB. Additionally, we will explore data collection services such as IoT and Kinesis, data processing services such as Elastic Map Reduce, Lambda, and Glue, analysis and visualization of that data using Athena, Kinesis, and QuickSight, and utilize and discuss security practices when using these services. If you are looking to power up your Big Data knowledge, then we will see you there!
- Pass the AWS Certified Big Data – Specialty Exam
- Design Big Data Solutions on AWS
- Become Intimately Familiar with AWS’ Big Data Solutions
- You must have an AWS account.
- AWS recommends associate-level certification before attempting the AWS Big Data exam. It is an advanced and challenging exam.
Experienced technologists seeking certification in Big Data technologies on Amazon Web Services.
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Overview |
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| Kinesis Stream Essentials | |
| Firehose Collection | |
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Collect Data with Kinesis Agent |
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IoT Essentials |
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Rules and the Rule Engine |
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Collect Sensor Data |
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SQS Essentials |
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| STORAGE | |
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S3 Essentials |
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Permissions and Encryption |
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Storage Classes, Lifecycles, and Performance |
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DynamoDB Essentials |
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Read and Write Operations |
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DynamoDB Indexes |
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Global Tables and Conditional Writes |
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Streams |
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| PROCESSING | |
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EMR Essentials |
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Use Hue and Hive with EMR |
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Spark and EMR |
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SageMaker Essentials |
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Training with SageMaker Notebooks |
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AWS Lambda Essentials |
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Processing Data with Lambda |
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Data Pipeline Essentials |
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Database Migration Essentials |
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Glue Essentials |
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| ANALYSIS | |
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Elasticsearch Essentials |
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Elasticsearch and Kibana |
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Athena Essentials |
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Redshift Essentials |
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Loading and Unloading Data in Redshift |
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Kinesis Analytics Essentials |
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| VISUALIZATION | |
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QuickSight Essentials |
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JavaScript Visualization From S3 |
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| SECURITY | |
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IAM Basics for Big Data |
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CloudTrail Essentials |
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Database and Storage Encryption |
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