Learn More About Amazon Glue: A Cost Effective, Cloud Optimized ETL Service

BY:

Dec 20, 2017

With Amazon Glue, managing and analyzing complex data can be done efficiently

In the past, managing data and making split second decisions based on extensive analytics was both difficult and extremely resource intensive. The release of AWS Glue helps change that. With AWS Glue, users have a fully managed and serverless ETL service that enables cataloging data, cleaning it, analyzing it and even moving it between data stores. No longer do you have to invest in expensive infrastructure to perform ETL jobs. With AWS Glue, you don’t pay for expensive hardware – you simply pay for the resources you use while the ETL jobs are running.

Key features of AWS Glue

Below are just a few of the reasons why AWS Glue is a cost effective ETL service:

Automated schema discovery

AWS Glue is able to connect to your target data store or data source, determine the data schema, and create metadata for your AWS Glue Data Catalog. This metadata is then stored and used when creating ETL jobs. You can crawl this data on a schedule or on-demand, based on your needs.

Fully integrated data catalog

With AWS Glue, the data catalog can store all of your data assets, no matter where they may be stored. This catalog can contain job definitions, table definitions, and other pertinent information to make it easier to manage the AWS Glue environment. A comprehensive schema version history is also automatically created to help you see how your data has changed over time.

Automated Python code generation

One of the beauties of AWS Glue is that it can automatically generate Python code to extract, transform, and load your analytics data. Just point Glue to your source and target and the platform will create code to transform and enrich the data.

Flexible job scheduling

AWS Glue jobs can be scheduled on-demand, on a schedule, or based on a certain event. You can also run multiple jobs in parallel or build complex ETL pipelines that are based on specific dependencies across jobs. All error logs are sent to Amazon CloudWatch to allow you to be alerted to any problems that may arise.

Github integration

If you choose, you can always use and share code with other developers through the GitHub repository.

Interested in learning more about AWS Glue?

If you’re interested in learning more about AWS Glue and how it can simplify ETL jobs, don’t hesitate to reach out to the CloudHesive team today at 800-860-2040 or by contacting us through our online contact form. We’ll do our best to help you utilize this extremely cost effective ETL service.

Related Blogs

  • How to Use Amazon WAM to Centralize App Control" alt="">
    Use Amazon WorkSpaces Application Manager to Centralize App Control

    Amazon WorkSpaces Application Manager (WAM) makes it easier to deploy and manage Windows desktop apps by providing users with virtualized instances that run right inside Amazon WorkSpaces. Key...

    Learn More
  • " alt="">
    How Contact Centers Can Verify a Caller’s Identity With Machine Learning and Amazon Connect Voice ID

    Provide a seamless customer service experience, gain efficiency, and reduce losses from fraud with Amazon Connect Voice ID Key Takeaways: Call centers are the latest targets for fraud, increasing...

    Learn More
  • The Cloud Gets Faster: New AWS Instances Redefine Cloud Performance on cloudhesive.com" alt="">
    Building a Better Learner (You!)

    When it comes to completing difficult exams such as AWS Professional and Specialty certifications, it’s important to master two components: The necessary technical skills being tested The...

    Learn More