Description

This is a two-day specialty course from CloudThat that deep dives into Advanced Big Data services of AWS and enhances knowledge of AWS data services. This training is focused towards “AWS Big Data – Specialty (BDS-C00)” Certification, with hands-on labs for simulation of Hybrid Cloud Environment.

AWS Big Data services will be a great utility to companies who are trying to move Big Data platform to the Cloud. Taking up this course will help candidates clear the AWS Big Data – Specialty (BDS-C00) certification exam.

Note: The AWS Certified Big Data – Specialty exam is available with a new name which is AWS Certified Data Analytics – Specialty exam. The new exam name was made available from April 2020.

Why You Need to Become AWS Certified?

• With 31% market share in Cloud computing, AWS is undoubtedly a leader among Cloud service providers. Therefore, holding an AWS certification can prepare you for the upcoming opportunities in IT job market.
• AWS certification is one of the highest-paying job categories. The average salary of AWS certified IT professionals is 30% higher than the average annual salary that a non-certified professional receives.
• Validate your technical skills and enhance your cloud expertise to build innovative and effective Cloud initiatives using AWS.
• AWS offers diverse certification exams based on different roles and specialty designed to enhance your Cloud computing skills and help meet unique goals.
• AWS certifications are recognized industry wide as reliable and well-designed tech credentials.

Exclusive Perks of AWS Certification

• Once certified, you get access to AWS Certified community on LinkedIn where you can network with AWS certified professionals, thought leaders and peers.
• When you complete AWS certification, you are awarded with Amazon certified digital badge to brand your expertise.
• AWS certified professionals receives invite to worldwide AWS events or conference and gets exclusive access to AWS Certification Lounges at AWS re:Invent and select AWS Summit events.
• Getting AWS certification can open your opportunity to become subject matter expert, arranging workshops and getting involved in the exam development process at Amazon Web Services.

Why Choose CloudThat?

At CloudThat, we offer world-class teaching experienced catered to the diverse needs of technology professionals. From personalized mentoring to self-paced learning modules, we work towards providing a growth-oriented learning experience to nurture their future.

CloudThat has trained over 200K IT professionals from fortune 500 companies in Cloud since 2012. Empowering tech professionals in unleashing the potential of Cloud computing technologies with best-in-class training, CloudThat proved its excellence and became an advanced AWS learning partner.

Considering the recent technological developments, Cloud certifications are in huge demand. That is why we at CloudThat is offering an in-depth training and bootcamp course to help IT professionals become AWS certified.

• CloudThat is an Advanced AWS Consulting Partner.
• CloudThat CEO is an ex-Amazonian who has worked in the development team.
• Robust consulting division complements and feeds practical knowledge to trainers.
• Trained 2,00,000+ professionals worldwide in instructor-led classroom and in virtual instructor-led classroom.
• Our trainings are equipped with 50%-60% hands-on labs sessions.
• Highly interactive virtual and classroom teaching.
• Qualified instructor-led Training and mentoring sessions.
• Practice lab and projects aligned to AWS learning modules.
• Integrated teaching assistance and support.

Course Objectives

After successful completion of this course candidates will be able to:

• Implement core AWS Big Data services according to basic architecture best practices.
• Design and maintain Big Data.
• Leverage tools to automate data analysis.

Who Should Attend this AWS Course?

• Solutions Architects
• Data Analysts
• SysOps Administrators
• Data Scientists

Pre-requisites

Candidates can take up this AWS Big Data – Specialty certification exam only if they have:

• Should have attended AWS Level-2 course and AWS Level – 3 Course offered by CloudThat Technologies.
• Should have basic understanding of Big Data technologies.
• Should have basic understanding of databases.

Wish to become an AWS Certified Expert in Big Data– Specialty? Enroll Right Away!

For latest batch dates, fees, location, technical queries and general inquiries, contact our sales team at: +91 8880002200 or email at sales@cloudthat.in

Objectives

• To gain deep understanding of AWS Big Data technologies
• Design and implement Big Data solutions with AWS
• Choose appropriate AWS data storage / processing options
• Leverage various AWS services to automate data analysis
• Use AWS Glue to automate extract, transform, and load (ETL) workloads
• Be able to understand various stages of data lifecycle management
• Be able to understand Data security, cost and performance objectives
• Be able to understand various real-time use cases, best practise and design patterns

Who Should Attend

• Solutions Architects
• Data Analysts
• SysOps Administrators
• Data Scientists

Prerequisites

• Should have attended AWS Level-2 course and AWS Level – 3 Course offered by CloudThat Technologies
• Should have basic understanding of Big Data technologies
• Should have basic understanding of databases

Course Outline

Day 1

• Amazon Kinesis
  • Overview of Kinesis and Real-Time Analytics
  • Amazon Kinesis Capabilities
  • Kinesis Data Streams
  • Kinesis Data Firehose
  • Kinesis Data Analytics
  • Data Analytics – Batch V/S Realtime
  • Monitoring Streams

  Hands-on: Reading and Writing Data to Kinesis

• Simple Queue Service
  • Need for Queues
  • SQS APIs
  • Workflow Designs on Top of SQS
  • SQS Guarantees and Limitations
  • Messages Receiving Order
  • Distributed Queues
  • Dead Letter Queue
  • Message Lifecycle
  • Integration with SNS
  • Need for Queues
  • SQS VS Kinesis

  Use Cases of SQS

• Amazon EMR
  • Overview and Benefits of EMR
  • EMR Architecture
  • Data Processing Frameworks for EMR
  • Analyzing Big Data with EMR
  • AWS data Storage Options
  • In-memory Analytics with Apache Spark on Amazon EMR
  • Cluster Configuration
  • Storage
  • Configure Cluster Software, Custom AMI, Tagging
  • Monitoring
  • EMR Security

  Hands-on: Analysing Big Data with EMR Cluster (spark)

• Database Migration Service (DMS)
  • Introduction
  • Components of DMS
  • Homogenous & Heterogeneous Migration
  • Monitoring DMS Tasks
  • Migration Validation

  Demo: DMS (Migration and Ongoing Replication of MySql Database)

Day 2

• Amazon Redshift
  • Introduction to Data Warehousing
  • Redshift Data Warehouse System Architecture
  • Internal Architecture and System Operation
  • Redshift Performance
  • Workload Management
  • Redshift Best Practices
  • Working with Recommendations from Redshift Advisor
  • Managing Database Security
  • Creating User-Defined Functions
  • Moving Data Between Amazon Redshift and S3
  • Loading Data with the COPY command

  Hands-on: Create Redshift Database, Export Data From S3 to Redshift and Data Analysis

• Amazon Redshift Spectrum
  • Redshift Spectrum Overview
  • External Schemas
  • External Tables
  • Monitoring Metrics in Amazon Redshift Spectrum
  • Spectrum Query Performance

  Demo: Amazon Redshift Spectrum

• Amazon Athena
  • Athena Overview
  • Understanding Athena Data Catalog
  • Accessing Amazon Athena
  • Best Practices When Using Athena with AWS Glue
  • Working with Source Data
  • Connecting to Athena with ODBC and JDBC Drivers
  • Security
  • Data Querying

  Use Case Study and Lab Querying Data in Amazon Athena Tables

• Amazon Glue
  • ETL/ELT Overview
  • ETL Design Principles
  • Overview of Amazon Glue
  • Glue Terminology and Components
  • Glue Console Workflow Overview
  • Authentication and Access Control for AWS Glue
  • Running and Monitoring AWS Glue
  • Authoring Jobs in AWS Glue
  • Programming ETL Scripts
• Amazon QuickSight
  • QuickSight overview
  • Working with Data Sources in Amazon QuickSight
  • Working with Data Sets
  • Table and Query Limits
  • Working with Analyses
  • Working with Dashboards
  • Publishing a Dashboard
• Data Pipeline
  • Data Nodes
  • Activities
  • Schedules
  • Pipeline Lifecycle
• Security on AWS
  • AWS KMS
  • DDOS protection: AWS WAF and Shield
  • Inspector
  • GuardDuty

  Discussion on Whitepapers

• Other Services Used in Bigdata Specialty Course
  • Elasticsearch
  • AML
  • Amazon SageMaker
  • AWS Snowball and Snowmobile

About The Trainer

The trainer will be a certified AWS Professional

Other Details

Questions?

For latest batch dates, fees, location, technical queries and general inquiries, contact our sales team at: +91 8880002200 or email at sales@cloudthat.in