Building on concepts introduced in Architecting on AWS, Advanced Architecting on AWS is intended for individuals who are experienced with designing scalable and elastic applications on the AWS platform. Building on concepts introduced in Architecting on AWS, this course covers how to build complex solutions which incorporate data services, governance, and security on AWS. This course introduces specialized AWS services, including AWS Direct Connect and AWS Storage Gateway to support Hybrid architecture. It also covers designing best practices for building scalable, elastic, secure, and highly available applications on AWS.

Course Objectives

This course is designed to teach you how to:

  • Manage multiple AWS accounts for your organization
  • Connect on-premises datacenter to AWS cloud
  • Discuss billing implications of connecting multi-region VPCs
  • Move large data from on-premises datacenter to AWS
  • Design large datastores for AWS cloud
  • Understand different architectural designs for scaling a large website
  • Protect your infrastructure from DDoS attack
  • Secure your data on AWS with encryption
  • Design protection of data-at-rest as well as data-in-flight
  • Enhance the performance of your solutions

Intended Audience

This course is intended for:

  • Seasoned IT professionals who are already familiar with AWS services

Delivery Method

This course will be delivered through a mix of:

  • Instructor-Led Training (ILT)
  • Hands-on Labs

This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.

Course Outline

Note: course outline may vary slightly based on the regional location and/or language in which the class is delivered.

This course contains the following 4 modules:

Module 1 – Introduction to Big Data

  • The Business Importance of Big Data
  • The Hadoop Ecosystem
  • Characteristics of Big Data
  • Processing Big Data
  • Tools and Techniques for Analyzing Big Data
  • Implementing Big Data Solutions
  • Case Study – Social Media Analytics

Module 2 – Introduction to MapReduce and Hadoop

  • Hadoop Architecture
  • MapReduce Framework
  • MapReduce Programming
  • MapReduce and HDFS/S3
  • Use Case – Recommendation Engine

Module 3 – Data Analysis Using Pig Programming

  • Introduction to Pig
  • Pig Data Types
  • Representing Data in Pig
  • Running Pig
  • User-Defined Functions
  • Pig vs Traditional RDBMSs
  • A
  • dvanced Techniques in Pig

Module 4 – Big Data Querying with Hive

  • Introduction to Hive
  • Representing Data in Hive
  • Hive Data Types
  • Probing Data with Hive Queries
  • Hive and AWS
  • Use Case – Ad Hoc Analysis and Product Feedback

Duration : 3 Days

Prerequisites We recommend that attendees of this course have:

  • Attended Architecting on AWS
  • Achieved AWS Certified Solutions Architect - Associate

QUICK ENQUIRY

 

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  •  helpdesk@kalvigroup.com