Hadoop Testing

  • ID: 63
  • 40.00 Hrs

Course Content

  • Data Warehousing Concepts
    • What is Data Ware House?
    • What is the Difference between OLTP and OLAP?
    • Data Profiling
    • Data Acquisition
    • Data Extraction
    • Data Transformation
    • Data Loading
    • Data Marts
    • Star Schema
    • Snow Flake Schema
    • What is the difference between Snow Flake and Star Schema?
  • Slowly Changing Dimension
    • What is SCD?
    • Why SCD?
    • How SCD related to ETL Testing?
    • Type-1 SCD
    • Type-2 SCD
    • Type-3 SCD
  • SQL
    • What is SQL?
    • Why SQL?
    • How SQL helps for BI testing?
    • Basics of SQL
    • SQL - Functions
    • SQL - Queries (Minus & Counts)
    • SQL - Joins
    • SQL - Analytical Functions
    • SQL - Date Validations
    • SQL - Advance Queries
    • SQL Query Writing for ETL Transformations
  • ETL
    • What is ETL?
    • Why ETL?
    • How ETL Works?
    • Responsibilities of a ETL Tester
    • ETL Testing Work Flow Process
    • How to Prepare the ETL Test Data
    • How to Prepare the ETL Test Plan
    • How to design the Test Cases in ETL Testing
    • How to report the Bugs in ETL Testing
  • SDLC & Testing
    • Software Development Life Cycle
    • Various SDLC Methodologies
      • Waterfall Model
      • Agile
      • Spiral
      • V Model
      • RUP
    • Software Testing Life Cycle
    • Bug Life Cycle
    • Types of Testing
      • Smoke Testing
      • Sanity Testing
    • Test Documentation
    • Test Plan
    • Test Strategy
    • Test Cases
    • Test Summary Report
  • HP Quality Center-HP ALM
    • What is HP ALM?
    • Why HP ALM?
    • Releases & Cycles
    • Requirements
    • Planning Tests
    • Running Tests
    • Adding & Tracking Defects
    • Generating Reports
    • RTM – Requirement Traceability Matrix
  • ETL Tool – Hadoop ETL Testing
    • What is Hadoop?
    • What is Big Data? Why Big Data?
    • Structured and Unstructured Data
    • Scoop/Flume
    • Big Data Schema & Map Reduce
    • Basic MPP Architecture
    • Big Data Environment, Hadoop Environment & Test Data Management
    • Knowledge on Hadoop Components (Hadoop Stack, HDFS, Oozie, Pig & Hive)
    • Unit Testing & Test Driven Development (TDD)

Career Path

Future of .NET for the next 10 years is going to be very bright with lot of corporates being Microsoft shops. Companies looking to implement Web 2.0 technologies also want to see IT professionals with skills in areas such as .NET, AJAX and XML.

Schedules

Id Date Session Time Location
* Above schedule may change due to unavoidable reasons