Big Data Technology Fundamentals


Duration: 3 Days

Big Data Technology Fundamentals provides baseline general knowledge of the technologies used in big data solutions. It covers the development of big data solutions using the Hadoop ecosystem, including MapReduce, HDFS, and the Pig and Hive programming frameworks. This web-based course helps you build a foundation for working with AWS services for big data solutions. This course is offered at no charge, and can be used on its own or to help you prepare for the Big Data on AWS instructor-led course. This is a 3-day course.


  • Working knowledge of basic programming in a language such as Java or C#

What’s included?

  • Authorized Courseware
  • Intensive Hands on Skills Development with an Experienced Subject Matter Expert
  • Hands-on practice on real Servers and extended lab support 1.800.482.3172
  • Examination Vouchers & Onsite Certification Testing- (excluding Adobe and PMP Boot Camps)
  • Academy Code of Honor: Test Pass Guarantee
  • Optional: Package for Hotel Accommodations, Lunch and Transportation

With several convenient training delivery methods offered, The Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Academy for an engaging and effective learning experience.


  • Instructor Led (the best training format we offer)
  • Live Online Classroom – Online Instructor Led
  • Self-Paced Video

Speak to an Admissions Representative for complete details

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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
• Advanced 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