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    AWS Certified Big Data Speciality Certification

    BY
    Simpliv Learning

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    Mode

    Online

    Fees

    $ 199 999

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    $ 199  $999
    certificate availability

    Yes

    certificate providing authority

    Simpliv Learning

    The syllabus

    Course Introduction

    Lesson 1: Exam Details

    •  Overview of Big Data PREVIEW
    •  AWS Certification PREVIEW
    •  Exam Pattern and Exam Syllabus PREVIEW
    •  Recommended AWS Knowledge

    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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