Explanation
AWS Data Lake – The Easiest Way to Learn (2023), In this course, we’ll start by gaining an understanding of the basic concepts of a data lake and when it’s the right solution versus a data warehouse. The various components of the data lake solution, including the ability to directly query files using SQL for quick analysis of the database. existing data lake. We will dive into different situations, such as new sites, new categories, changes in data types, and missing data, and we will discuss techniques for managing them effectively.
We will also delve into the management of sticky books and the development of schemas, with a focus on reducing the disruption of the underlying systems. where they are weak. . After that, we’ll dive into Glue ETL, a robust Apache Spark-based data transformation solution. To demonstrate the scale of Athena, we will query the huge database of Amazon Customer Reviews which contains more than 130 million reviews. Finally, we will build a serverless application using Kinesis Firehose, Lambda, Faham AI, Glue, Athena, and S3, which can process an unlimited number of customer reviews, perform sentiment analysis, and store the results. data lake to query.
What will you learn?
- Learn about Data Lake vs. Database
- Key Components of Data Lake Architecture
- Query files directly using SQL
- Hands on integration using Kinesis Firehose, Lambda, Understanding AI, Glue, Athena and S3
Who is this course for?
- Decision makers who want to understand the data lake
- Professionals working with structured and unstructured data
AWS Data Lake Details – The Easy Way to Learn (2023)
- Publisher: Udemy
- Teacher: Chandra Lingam
- Language : English
- Level: Beginner
- Number of courses: 76
- Duration: 5 hours and 33 minutes
Content 2023-7
Requirements
- Basic knowledge of AWS is beneficial but not mandatory
Pictures
Sample Clip
Installation Guide
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Subtitle : English
Quality: 720p
Download Links
Password file: free download software
file size
2.34 GB