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37 - ITC - Information Technology - Miscellaneous

ITC 170 - Big Data Engineering for Analytics

Code	Start Date	Duration	Venue
ITC 170	28 October 2024	5 Days	Istanbul	Registration Form Link
ITC 170	02 December 2024	5 Days	Istanbul	Registration Form Link

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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

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SAHARA Group Training and Consultancy INC (in Turkish: SAHARA Group Eğitim ve Danışmanlık AŞ)

Tax Office: Beyoğlu (Istanbul/Turkiye,Tax No: 7390525151 (Vergi Dairesi: Beyoğlu (İstanbul), Vergi No: 7390525151)

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37 - ITC - Information Technology - Miscellaneous

ITC 170 - Big Data Engineering for Analytics

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