Big Data Technology Fundamentals

Course code: BDTAWS

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.

Professional
and certified lecturers

Internationally
recognized certifications

Wide range of technical
and soft skills courses

Great customer
service

Making courses
exactly to measure your needs

Course dates

Starting date: Individual

Type: Virtual

Course duration: 1h 30min

Language: en

Price without VAT: 0 EUR

Register

Starting
date
Place
Type Course
duration
Language Price without VAT
Individual Virtual 1h 30min en 0 EUR Register
G Guaranteed course

Didn't find a suitable date?

Write to us about listing an alternative tailor-made date.

Contact

Target group

This course is intended for:

  • Individuals who are new to big data concepts, including Enterprise Solutions Architects, Big Data Solutions Architects, Data Scientists, and Data Analysts.

Course structure

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
  • 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

Prerequisites

We recommend that attendees of this course have:

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

Do you need advice or a tailor-made course?

daniel

Daniel Šťastný

product support

ComGate payment gateway MasterCard Logo Visa logo