Beginners Guide To AWS Glue
In this video we take a look at AWS Glue. We cover some theory before configuring the Glue Data Catalog on the AWS Console in preparation for lesson 2 of the Glue 101 series where we used Glue ETL to write a pyspark job on our data.
00:00 - Intro
00:29 - What is AWS Glue?
01:58 - Why use AWS Glue?
02:44 - When do we use AWS Glue?
02:59 - What we will cover in todays lesson?
03:41 - Hands on tutorial
Github
https://github.com/johnny-chivers/glue101
Link to lesson 2
https://youtu.be/-IWEARm8JZc
Website
https://johnnychivers.co.uk/
Discourse Forum
https://discourse.johnnychivers.co.uk/
What AWS say
AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue provides all of the capabilities needed for data integration so that you can start analyzing your data and putting it to use in minutes instead of months.
Data integration is the process of preparing and combining data for analytics, machine learning, and application development. It involves multiple tasks, such as discovering and extracting data from various sources; enriching, cleaning, normalizing, and combining data; and loading and organizing data in databases, data warehouses, and data lakes. These tasks are often handled by different types of users that each use different products.
AWS Glue provides both visual and code-based interfaces to make data integration easier. Users can easily find and access data using the AWS Glue Data Catalog. Data engineers and ETL (extract, transform, and load) developers can visually create, run, and monitor ETL workflows with a few clicks in AWS Glue Studio. Data analysts and data scientists can use AWS Glue DataBrew to visually enrich, clean, and normalize data without writing code. With AWS Glue Elastic Views, application developers can use familiar Structured Query Language (SQL) to combine and replicate data across different data stores.
Видео Beginners Guide To AWS Glue канала Johnny Chivers
00:00 - Intro
00:29 - What is AWS Glue?
01:58 - Why use AWS Glue?
02:44 - When do we use AWS Glue?
02:59 - What we will cover in todays lesson?
03:41 - Hands on tutorial
Github
https://github.com/johnny-chivers/glue101
Link to lesson 2
https://youtu.be/-IWEARm8JZc
Website
https://johnnychivers.co.uk/
Discourse Forum
https://discourse.johnnychivers.co.uk/
What AWS say
AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue provides all of the capabilities needed for data integration so that you can start analyzing your data and putting it to use in minutes instead of months.
Data integration is the process of preparing and combining data for analytics, machine learning, and application development. It involves multiple tasks, such as discovering and extracting data from various sources; enriching, cleaning, normalizing, and combining data; and loading and organizing data in databases, data warehouses, and data lakes. These tasks are often handled by different types of users that each use different products.
AWS Glue provides both visual and code-based interfaces to make data integration easier. Users can easily find and access data using the AWS Glue Data Catalog. Data engineers and ETL (extract, transform, and load) developers can visually create, run, and monitor ETL workflows with a few clicks in AWS Glue Studio. Data analysts and data scientists can use AWS Glue DataBrew to visually enrich, clean, and normalize data without writing code. With AWS Glue Elastic Views, application developers can use familiar Structured Query Language (SQL) to combine and replicate data across different data stores.
Видео Beginners Guide To AWS Glue канала Johnny Chivers
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22 июня 2021 г. 17:13:39
00:14:25
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