Introduction
Learn AWS Data Engineering
Quick Facts
particular | details | |||
---|---|---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Course overview
AWS data engineering guarantees fast constantly questioning to operate data analytics on massive amounts of information and feed data to various business intelligence tools, dashboards, and other implementations. Tushar Bhalla - Data Solutions Architect designed the Learn AWS Data Engineering certification course, which is delivered by Udemy for learners who want to gain both basic and advanced knowledge of the concepts associated with data engineering on the AWS platform.
Learn AWS Data Engineering online course is a short-term program that incorporates 1.5 hours of prerecorded learning resources to provide learners with a detailed understanding of the strategies involved to ingest data into AWS and build data warehouses. Learn AWS Data Engineering online classes cover data engineering and ETL framework as well as explain the methodologies associated with AWS Athena, AWS S3, AWS Kinesis, AWS Lambda, Amazon RDS, Amazon SQS, and more.
The highlights
- Certificate of completion
- Self-paced course
- 1.5 hours of pre-recorded video content
- Learning resources
Program offerings
- Online course
- Learning resources
- 30-day money-back guarantee
- Unlimited access
- Accessible on mobile devices and tv
Course and certificate fees
Fees information
certificate availability
Yes
certificate providing authority
Udemy
Who it is for
What you will learn
After completing the Learn AWS Data Engineering online certification, learners will develop a solid understanding of the principles associated with AWS data engineering as well as will acquire the knowledge of the concepts involved with AWS and data engineering. In this AWS data engineering certification, learners will explore the functionalities of various tools by Amazon including AWS Lambda, AWS S3, AWS Kinesis, and AWS Athena. AWS Glue, Amazon RDS, and Amazon SQS. In this AWS data engineering course, learners will study methodologies to work with a data lake, databases, SFTP servers, and parquet columnar formats as well as will acquire the skills to create Glue ETL jobs using AWS S3 and AWS Athena. Learners will also study strategies involved with data fetching using REST API, data ingestion, data transformation, and more.
The syllabus
Introduction
Data Engineering Services
- S3
- Athena
- Glue
- Lambda
- RDS
- SQS
- SNS
- Kinesis
Live Demos
- Serverless Datawarehousing
- Ingest data from a Rest Api
- Ingest data into a SQL database (Postgre SQL)
- Incremental data Loading
- Ingest data from a SFTP server