- Overview of Big Data PREVIEW
- AWS Certification PREVIEW
- Exam Pattern and Exam Syllabus PREVIEW
- Recommended AWS Knowledge
AWS Certified Big Data Speciality Certification
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course and certificate fees
Fees information
$ 199 $999
certificate availability
Yes
certificate providing authority
Simpliv Learning
The syllabus
Course Introduction
Lesson 1: Exam Details
Lesson 2: Big Data on AWS Introduction
- Lesson 2 - Learning Objective
- Cloud Computing Introduction, Advantages and Types
- Cloud Deployment Models
- Cloud Service Categories
- AWS Cloud Platform
- AWS Cloud Architecture Design Principles - Part 1
- AWS Cloud Architecture Design Principles - Part 2
- Why AWS for Big Data - Reasons and Challenges
- Databases in AWS
- Data Warehousing in AWS
- AWS Services for Big Data - Redshift, Kinesis and EMR
- AWS Services for Big Data - DynamoDB, Machine Learning and Lambda
- AWS Services for Big Data - Elastic Search Services and EC2
- Lesson 2 - Key Takeaway
- Lesson 2 - Knowledge Check
Lesson 3: Big Data on AWS - Collection
- Lesson 3 - Learning Objective
- AWS Data Pipelines and Data Nodes
- Amazon Kinesis and Kinesis Stream
- Kinesis Data Stream Architecture and Core Components
- Data Producer
- Data Consumer
- Kinesis Stream Emitting Data to AWS Services and Kinesis Connector Library
- Kinesis Firehose
- Demo - Put and Get Records from Kinesis Data Stream
- Transferring Data using Lambda
- Amazon SQS Lifecycle and Architecture
- IoT and Big Data
- IoT Framework
- AWS Data Pipeline and Data Node
- Activity, Pre-condition and Schedule
- Demo - Import Data From S3 into DynamoDB using Data Pipeline
- Lesson 3 - Key Takeaway
- Lesson 3 - Knowledge Check
Lesson 4: Big Data on AWS - Storage
- Lesson 4 - Learning Objective
- Amazon Glacier and Big Data
- DynamoDB Introduction
- DynamoDB and EMR
- DynamoDB Partitions and Distributions
- DynamoDB GSI LSI
- DynamoDB Stream and Cross Region Replication
- DynamoDB Performance and Partition Key Selection
- Snowball and AWS Big Data
- AWS DMS
- AWS Aurora in Big Data
- Demo - Amazon Athena Interactive SQL Queries for Data in Amazon S3 – Part 1
- Demo - Amazon Athena Interactive SQL Queries for Data in Amazon S3 – Part 2
- Lesson 4 - Key Takeaway
- Lesson 4 - Knowledge Check
Lesson 5: Big Data on AWS - Processing
- Lesson 5 - Learning Objective
- Amazon EMR
- Demo - Analyzing Big Data with Amazon EMR
- Apache Hadoop
- EMR Architecture
- EMR Operations: Releases and Cluster
- EMR Operations: Choosing Instance and Monitoring
- Demo - Advance EMR Setting Options
- Hive on EMR
- HBase with EMR
- Presto with EMR
- Spark with EMR
- EMR File Storage
- Demo - Analyzing Large Data Set using Hive and Spark
- AWS Lambda
- Lesson 5 - Key Takeaway
- Lesson 5 - Knowledge Check
Lesson 6: Big Data on AWS - Analysis
- Lesson 6 - Learning Objective
- Redshift Intro and Use cases
- Redshift Architecture
- MPP and Redshift in AWS Eco-System
- Columnar Databases
- Redshift Table Design - Part 1
- Redshift Table Design - Part 2
- Demo - Redshift Maintenance and Operations
- Demo - Generating Random Dataset in EC2 and Loading it in S3
- Machine Learning Introduction
- Machine Learning Algorithm
- Amazon SageMaker
- Amazon Elastic Search
- Amazon Elastic Search Services
- Demo - Loading Data Set into Elasticsearch
- Logstash and R Studio
- Demo - Fetching the File and Analyzing it using RStudio
- Athena
- Demo - Running Query on S3 using the Serverless Athena
- Demo - Creating a Redshift Cluster, Loading the Data Set into it from S3 - Part 1
- Demo - Creating a Redshift Cluster, Loading the Data Set into it from S3 - Part 2
- Lesson 6 - Key Takeaway
- Lesson 6 - Knowledge Check
Lesson 7: Big Data on AWS - Visualization
- Lesson 7 - Learning Objective
- Amazon QuickSight
- Demo - Creating an Analysis with a Single Visual using Sample Data
- Demo - Creating an Analysis using Your Own Amazon S3 Data
- Visual Types
- Stories
- Big Data Visualization
- Lesson 7 - Key Takeaway
- Lesson 7 - Knowledge Check
Lesson 8: Big Data on AWS - Security
- Lesson 8 - Learning Objective
- EMR Security and Security Group
- Roles and Private Subnet
- Encryption at Rest and In-transit
- Redshift Security
- Encryption at Rest using CloudHSM
- Cloud HSM vs AWS KMS
- Limit Data Access
- Lesson 8 - Key Takeaway
- Lesson 8 - Knowledge Check
Course End Project
- Course End Project
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