Introduction to Data Engineering
57m 26s
English
Paid
Course description
Companies of all sizes have access to massive amounts of data, but the problem is that data is often unstructured. In order to answer important business questions, make decisions, and train AI and machine learning models, this data needs to be cleaned, processed, and managed. In this basic course, you will learn how this is done and get acquainted with the tools that data engineers use in the real world.
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/ #1: Introduction
All Course Lessons (11)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Introduction Demo | 03:25 | |
| 2 | What Is Data? | 06:43 | |
| 3 | What is a Data Engineer - Part 1 | 04:22 | |
| 4 | What is a Data Engineer - Part 2 | 05:37 | |
| 5 | What is a Data Engineer - Part 3 | 05:05 | |
| 6 | What is a Data Engineer - Part 4 | 03:23 | |
| 7 | Types of Databases | 06:51 | |
| 8 | Optional: OLTP Databases | 10:55 | |
| 9 | Hadoop, HDFS and MapReduce | 04:23 | |
| 10 | Apache Spark and Apache Flink | 02:08 | |
| 11 | Kafka and Stream Processing | 04:34 |
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