Introduction to Data Engineering: Store, Extract, and Organise Your Data (Virtual)

This one-day course provides a concise overview of data engineering, covering pipelines, architecture, and warehouse management to help analyze unstructured data for business success.

Course Duration

1 day

Qualification Level

All Level

Available Schedule

Online

Language Availability

English

*Note: This course may be rescheduled or canceled up to (14 days) before its start date. Please note that this might differ from other courses. If you need more information or assistance, feel free to [contact us]
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About This Course

Overview

Companies are generating a lot of data everyday. However, it's not always simple or straightforward to grasp the narrative the data tells, which is why many firms rely on data engineering.

Data engineering is the process of developing systems that enable users to gather and analyse unstructured data from various sources and forms. These technologies enable users to discover useful data applications that firms may employ to succeed.

Data engineers create things from scratch. They plan and construct pipelines that convert and interpret data such that it is highly useable when it is received by data scientists or other end users. These pipelines are required to gather data from several unrelated sources and combine it with data from other sources into a single warehouse that acts as a single source of truth for all the data.

This one-day data engineering course provides you with a high-level overview of data engineering with no technical details or jargon. You will explore the big data ecosystem, data pipelines, data architecture, data infrastructure, and data warehouse management. By the end of the course, you will walk away with a comprehensive understanding of data engineering tasks, tools, challenges and needs.


*Learners should have an internet-enabled laptop for this course.

Recommended For

Professionals and individuals who seek to understand how data engineering can be used to streamline data flow processes to generate useable and trustworthy data pipelines to generate value

Prefer For Designation

All Job

Type Of Industries

All Type Of Industries

Objectives

  • Define and understand the value of company data
  • Introduce the concept of data engineering
  • Understand how to convert data using data pipelines
  • Frameworks for data infrastructure and data warehouse
  • Requirements, challenges & opportunities for data engineering
  • Use of technology for data engineering


Course Syllabus

Topic

1

Introduction of Digital Engineering

5 Subtopics

Topic

2

Data Pipelines

7 Subtopics

Topic

3

Data Infrastructure

6 Subtopics

Topic

4

Data Warehouse Management

3 Subtopics

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