![Data Lake in AWS - Easiest Way to Learn [2023]](https://tech-story.net/wp-content/uploads/2024/05/1716211764_Download-Data-Lake-in-AWS.png "Download Data Lake in AWS")
Description
Data Lake in AWS – Easiest Way to Learn 2023, Data Lake in AWS training course is published by Udemy Academy. In this course, we’ll start by understanding the fundamental concepts of a data lake and when it’s the right solution versus a database. We then explore the various components that make up a data lake solution, including the ability to directly query files using SQL for rapid ad hoc analysis of datasets. Next, we will cover the issue of making changes to the structure of the files in the database. We will explore different scenarios such as new fields, new partitions, changes in data types and lost data and discuss techniques on how to handle them effectively.
We will also manage the Glue catalog and evolve schemas with a focus on minimizing disruption to downstream systems. We also go to different data formats such as CSV, Parct, Avro and ORC and examine their strengths and weaknesses. Next, we look at Glue ETL, a powerful Apache Spark-based solution for data transformation. To demonstrate Athena’s scalability, we will query Amazon’s large customer review dataset, which includes over 130 million reviews. Finally, we will build a serverless application using Kinesis Firehose, Lambda, Comprehend AI, Glue, Athena, and S3 that can process an unlimited number of customer reviews, perform sentiment analysis, and deliver results. Store in the data lake for query.
What you will learn
- Data Lake vs Database
- Key components of data lake architecture
- Query files directly using SQL
- Practical integration using Kinesis Firehose, Lambda, Comprehend AI, Glue, Athena and S3
Who is this course suitable for?
- People who want to understand the data lake
- Professionals who work with structured and unstructured data
Details of the Data Lake in AWS – Easiest Way to Learn 2023 course
- Publisher: Udemy
- teacher : Chandra Lingam
- English language
- Education level: introductory
- Number of courses: 76
- Training duration: 5 hours and 33 minutes
Head of the course seasons on 2023-7
Course prerequisites
- Basic knowledge of AWS is useful but not mandatory
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
2.34 GB
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