AWS Data Engineering
About Course
AWS Data Engineering is designed to teach you how to use Amazon Web Services (AWS) tools to architect and manage large-scale data storage and processing solutions. In this course, you will learn how to build data lakes, perform real-time data streaming, and work with AWS data analytics services such as Amazon Redshift, AWS Glue, and Amazon Kinesis. By the end of this course, you’ll have the skills needed to design and maintain big data architectures on AWS.
Why Choose the Course?
- Learn how to leverage AWS cloud services for building scalable data engineering pipelines.
- Gain hands-on experience with key AWS data solutions like Redshift, Glue, Kinesis, and Athena.
- Master techniques for handling big data processing, storage, and analytics.
- Understand the best practices for security, cost optimization, and data management in AWS.
- Position yourself for roles such as Data Engineer, Cloud Data Architect, and Big Data Specialist.
- Prepare for AWS certifications like the AWS Certified Data Analytics – Specialty exam.
Course Content
Sessions
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Session 1
59:04 -
Session 2
55:14 -
Session 3
47:25 -
Session 4
42:03 -
Session 5
01:26:10 -
Session 6
55:06 -
Session 7
58:28 -
Session 8
55:52 -
Session 9
45:45 -
Session 10
01:00:51 -
Session 11
55:53 -
Session 12
01:02:35 -
Session 13
01:09:43 -
Session 14
22:12 -
Session 15
34:32 -
Session 16
01:05:56 -
Session 17
01:10:19 -
Session 18
52:09 -
Session 19
55:09 -
Session 20
46:48 -
Session 21
53:39 -
Session 22
49:16 -
Session 23
47:32 -
Session 24
46:57 -
Session 25
57:25 -
Session 26
51:15 -
Session 27
56:26 -
Session 28
12:58 -
Session 29
01:00:01 -
Session 30
55:21 -
Session 31
01:11:47 -
Session 32
48:02 -
Session 33
41:13 -
Session 34
57:08 -
Session 35
01:02:42 -
Session 30
01:03:41 -
Session 37
34:22 -
Session 38
01:01:23 -
Session 39
28:41
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