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36 - ITC - Information Technology - Miscellaneous

ITC 170 - Big Data Engineering for Analytics

Code Start Date Duration Venue
ITC 170 10 April 2023 5 Days Istanbul Registration Form Link
ITC 170 05 June 2023 5 Days Istanbul Registration Form Link
ITC 170 31 July 2023 5 Days Istanbul Registration Form Link
ITC 170 25 September 2023 5 Days Istanbul Registration Form Link
ITC 170 20 November 2023 5 Days Istanbul Registration Form Link
ITC 170 11 December 2023 5 Days Istanbul Registration Form Link
Please contact us for fees


Course Description

This course helps data engineers focus on essential design and architecture while building a data lake and relevant processing platform. 

Participants will learn various aspects of data engineering while building resilient distributed datasets. Participants will learn to apply key practices, identify multiple data sources appraised against their business value, design the right storage, and implement proper access model(s).  

Course Objectives

  • Understanding the growth of big data and need for a scalable processing framework. 
  • Understanding the fundamental characteristics, storage, analysis techniques and the relevant distributions
  •  Understanding the distributed storage essentials
  • Gaining expertise with the fault-tolerant computing framework 
  • Constructing configurable and executable tasks 
  • Understanding the nuances of writing functional programs 
  • Organizing, storing and manipulating the collected data using processing libraries. 
  • Understanding various data processing, querying and persistence available for usage in RDD’s context. 
  • Performing tasks such as filtering, selection and categorization.

Who Should Attend?

  • Business and IT professionals
  • Data analysts 
  • Data Engineers
  • Individuals who have no knowledge or experience in data engineering

Course Details/Schedule

Day 1

  • Introduction to Data Science, Data Engineering and Big Data
  • Data Scientist vs. Data Engineer
  • The Different Roles in Data Engineering
  • Core Data Engineering Skills and Resources
  • Understand Big Data from an Analytics Perspective

Day 2

  • Architectural Viewpoints in Big Data
  • Reference Architecture Conceptual View
  • Reference Architecture Logical View
  • Oracle Product Mapping View
  • The Hadoop Ecosystem for Big Data

Day 3

  • Distributed File Storage
  • NoSQL Databases for Big Data
  • Spark and Functional Programming for Big Data

Day 4

  • Spark and Resilient Distributed Data Sets
  • Spark QL for Big Data
  • Spark and Real Time Stream Processing
  • Management of Big Data initiatives

Day 5

  • Case study
  • Project Requirement Elaboration
  • Project and Assessment
  • Project Demonstration
  • Report Submission and Presentations