AWS Big Data - Specialty
Course Overview
Prerequisites
We recommend that attendees of this AWS Big Data training online course have:
- Basic familiarity with big data technologies, including Apache Hadoop, HDFS, and SQL/NoSQL querying · Completed Data Analytics Fundamentals free digital training or equivalent experience
- Working knowledge of core AWS services and public cloud implementation
- Completed the AWS Technical Essentials classroom training or have equivalent experience
- Basic understanding of data warehousing, relational database systems, and database design
Key Highlights
- Trainings are designed to help you learn best practices, industry trends and practical use cases.
- Limited batch size for personalised attention
- Course content, training structure are designed in line with certificate exams guidelines
- Extreme care is taken on data security which is one of our highest priority
- Complementary post training support via chat, email, and phone for 6 months
- Easy access to online test platform to help you prepare for exam
- Job Assistance if needed
- Flexible timings – weekdays, weekend, timezone – India, International
- Standard content, customised content as per client’s specific needs
Certificate
After successfully completing a course, you will earn a certificate from us that duly acknowledges the new skills acquired by you.
AWS Cloud Overview
- Basics of Cloud Computing
- Advantages of Cloud Computing.
- Different Types of Cloud Computing
- Overview of AWS Cloud
- Shared Responsibility Model.
- Cloud Deployment models
- Different Cloud Architectures Scenarios.
- Regions and Availability Zones
- AWS CLI Access
- AWS Virtuous Cycle
- AWS Data protection- KMS encryption and Decryption
- Explanation of VPC, including public and private subnets, Internet Gateways, Nat Gateways etc
- IAM- Identity and Access Management
- Explanation of Serverless services and pay as you Go Model.
- NACL and Network Security Groups in AWS
- CloudWatch Logging and CloudWatch Metrics and API logging using CloudTrails.
- AWS for Big Data – Different Use cases
- Cloud Computing
- Quiz
AWS Storage
- Big data storage in AWS Data Lake
- Difference between ETL and ELT
- Concepts on Delta Lake and Data Lake.
- S3 Storage Classes including Glacier, Standard, Deep Glacier, Intelligent Tiering etc.
- S3 Cross Region Replication and Cross Account bucket Access
- AWS Snow Family
- Explanation of Serverless services like Lambda, AWS Glue, Athena, Crawlers etc.
DynamoDB
- DynamoDB Overview
- Working with DynamoDB Hands on and Use cases discussion
- DynamoDB Basics and Pricing model
- DynamoDB capacity units calculation
- DynamoDB local and global secondary indexes
- DynamoDB Partitions
- DynamoDB Best Practices
- Large Object Patterns and Table Operations
- DynamoDb Accelerator Architecture
- DAX Operations
- Implementing DAX- Hands on
- Dynamo DB Backup and Restore and Hands on
- DynamoDB TTL & Hands on
- Cloudwatch Monitoring for DynamoDB
- DynamoDB Streams overview and Use case discussion – Hands on
- DynamoDB Quiz
Module 3 RDS (MySQL)
- RDS Overview
- RDS Pricing Model
- Instance type, storage type and storage auto scaling for RDS
- RDS Hands On (Configuring a RDs Instance with Industry Best Practices)
- RDS Quiz
AWS Big Data Processing Services
- Overview of Big Data
- Hadoop Ecosystem Tools overview
- Explanation of EMR Cluster and Architecture
- Big data Hadoop Architecture- Distributed Computing
- EMR Provisioning and connecting using AWS CLI – Hands On
- EMR Data Storage Options- S3, EBS etc and HDFS File System
- Apache Spark Overview and Architecture
- Spark Setup on EMR and basic commands execution
- Difference between Hive and Spark- basic SQLs execution
- AWS Lambda understanding and Use cases
- Creating a basic Lambda function to read and write data to S3.
- ETL Data Pipelines in AWS
- AWS Glue Crawler, Jobs, Workflows Hands On
- Quiz
AWS Big Data Collection Services
- Data Streaming Use Cases- Amazon Kinesis
- Fundamentals of Amazon Kinesis
- Kinesis Architecture- Producers and Consumers
- Kinesis Scaling
- Kinesis Data Stream- Hands on (Putting Data)
- Kinesis- Handling Duplicate Records
- Kinesis Data Streams
- Using Lambda to Put Data into Kinesis
- Kinesis Data Firehose
- Comparison between Kinesis and SQS
- Quiz
Amazon Redshift
- Redshift overview
- Creating a Redshift cluster – Hands on
- Redshift architecture
- Loading data into Redshift
- Loading data from S3 into Redshift – Hands on
- More ways to load data into Redshift
- Redshift Spectrum
- Querying S3 data with Redshift Spectrum – Hands on
- Redshift federated query
- Star schema in data warehouses
- Redshift fundamentals
- Redshift Distribution Styles
- Advanced Concepts – Vacuum, Compression etc
- Redshift backup, restore and cross-region snapshots
- Redshift Multi-AZ deployment alternative
- Redshift availability and durability
- Redshift security
- Redshift monitoring
- Redshift pricing
- Redshift related services – Athena and Quicksight
- Overview of Elastic search
- Quiz
Workshops and Visualizations
- Implementation of Kinesis Streams Workshop.
- Glue Workshop
- Introduction to Data Visualization- different Use cases
- Amazon Quicksight Visualization Services
- Amazon Quicksight Pricing and Dashboards; ML Insights
- Similar Visualization tools like Tableau, PowerBI etc
- Choosing Visualization Types
- Creating a Dashboard to understand Quicksight
- Other Visualization Tools (HighCharts, D3, etc)
- Quiz
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What Our Clients Say?
Sr. Cloud Architect
As a manager I understand key concepts of AWS. This training goes beyond a theory class and has very rigorous hands-on training doing pretty complex labs
Cloud Solutions Architect
Superb… Exactly what I was looking for. Just go and attend, Cloud will not be the mystery anymore! Trainer will take you to the Cloud with ease!
Cloud Data Engineer
CliqCloud had impressed me with their Big Data training expertise and this time I had a similar experience with Neo4j. I appreciate their service for their expertise in the subject and the professional approach they show in offering their services.
