AWS Certified Data Analytics - Specialty
- Offered byA Cloud Guru
AWS Certified Data Analytics - Specialty at A Cloud Guru Overview
Duration | 24 hours |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
AWS Certified Data Analytics - Specialty at A Cloud Guru Highlights
- Earn a certificate after completion
AWS Certified Data Analytics - Specialty at A Cloud Guru Course details
- This course is for software developers and data professionals who want to learn about data analytics on the AWS platform
- This course is designed to teach student the new services and tools they can use in AWS to build data analytics applications
- It also build and manage the lifecycle of collecting, storing, processing, and visualizing data
- This certification validates a deep understanding of AWS data analytics services and how they integrate with each other
- In this course, we cover major tools, topics, and services needed for a successful data analytics pipeline to help you gain hands-on experience and pass the exam
AWS Certified Data Analytics - Specialty at A Cloud Guru Curriculum
Introduction
Welcome to the Course!
Prerequisites and Course Overview
Exam Overview
What is Data Analytics
Amazon Simple Storage Service
Introduction to S3
Getting Data Into S3 - Concepts, AWS Management Console, AWS CLI (Part 1)
Getting Data Into S3 - Boto3 (Part 2)
S3 Multipart Upload (Part 1)
S3 Multipart Upload (Part 2)
S3 Storage Classes
S3 Lifecycle Policies
S3 Security and Encryption
Checkpoint
Programmatically Utilizing Data From S3
Databases In AWS
Introduction to Databases In AWS
Database Engine Types
Relational Database Service (RDS)
Neptune
DocumentDB
Serverless Options
Checkpoint
Programmatically Utilizing S3 Select
Collecting Streaming Data
Introduction to Collecting Streaming Data
The Kinesis Family
Kinesis Data Streams (Part 1)
Kinesis Data Streams (Part 2)
Kinesis Data Firehose (Part 1)
Kinesis Data Firehose (Part 2)
Kinesis Video Streams
Kinesis Data Analytics (Part 1)
Kinesis Data Analytics (Part 2)
Amazon Managed Service for Kafka (MSK)
Checkpoint
Data Collection and Getting Data Into AWS
Introduction to Data Collection and Getting Data Into AWS
Direct Connect, Snowball, Snowball Edge, Snowmobile
Database Migration Service
Data Pipeline
Lambda, API Gateway, and CloudFront (Part 1)
Lambda, API Gateway, and CloudFront (Part 2)
Comparing Our Options
Checkpoint
Amazon Elastic Map Reduce (EMR)
Introduction to Amazon Elastic Map Reduce (EMR)
Apache Hadoop and EMR Software Collection
EMR Architecture
EMR Operations - Transient vs Long-Running
EMR Operations - Choosing an Instance Type
EMR Operations - Choosing the Right Number of Instances
EMR Operations - On-Demand and Spot Instances
EMR Operations - Monitoring and Resizing Clusters
EMR File Storage and Compression
Checkpoint
Data Analytics with Spark and EMR
Using Redshift
Introduction to Using Redshift
Redshift Architecture
Redshift in the AWS Service Ecosystem
Redshift Use Cases
Redshift Table Design
Redshift Spectrum
Querying Data from Multiple Redshift Spectrum Table
Redshift Maintenance and Operations
Launching a Redshift Cluster
Resizing a Redshift Cluster
Utilizing Vacuum and Deep Copy
Backup and Restore
Monitoring
Checkpoint
Manually Migrating Data Between Redshift Clusters
AWS Glue, Athena, and QuickSight
Introduction to AWS Glue, Athena, and QuickSight
Glue Data Catalog (Part 1)
Glue Data Catalog (Part 2)
Glue Jobs (Part 1)
Glue Job Demo (Part 2)
Glue Jobs (Part 3)
Job Bookmarks
Getting Started with Athena
Athena Demo
When To Use Athena
QuickSight Visualizations and Dashboards
QuickSight Security and Authentication
Checkpoint
Elasticsearch
Introduction to Elasticsearch
Using Elasticsearch
Visualizing Elasticsearch Data
Checkpoint
Implementing an Elasticsearch Backed Search Microservice
AWS Security Services
Introduction to AWS Security Services
IAM
KMS
Secrets Manager
VPC Network Security Features
Checkpoint
Advanced S3 Security Configuration
Wrap-Up
Congratulations
AWS Data Analytics Specialty - Practice Exam
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