AWS Announces AWS Glue DataBrew | National

SEATTLE–(BUSINESS WIRE)–Nov 11, 2020–

Today, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ:AMZN) announced the general availability of AWS Glue DataBrew, a new visual data preparation tool that enables customers to clean and normalize data without writing code. Since 2016, data engineers have used AWS Glue to create, run, and monitor extract, transform, and load (ETL) jobs. AWS Glue provides both code-based and visual interfaces, and has dramatically simplified extracting, orchestrating, and loading data in the cloud for customers. Data analysts and data scientists have wanted an easier way to clean and transform this data, and that’s what DataBrew delivers, with a service that allows data exploration and experimentation directly from AWS data lakes, data warehouses, and databases without writing code. AWS Glue DataBrew offers customers over 250 pre-built transformations to automate data preparation tasks (e.g. filtering anomalies, standardizing formats, and correcting invalid values) that would otherwise require days or weeks writing hand-coded transformations. Once the data is prepared, customers can immediately start using it with AWS and third-party analytics and machine learning services to query the data and train machine learning models. There are no upfront commitments or costs to use AWS Glue DataBrew, and customers only pay for creating and running transformations on datasets. To get started, visit https://aws.amazon.com/glue/features/databrew.

Preparing data for analytics and machine learning involves several necessary and time-consuming tasks, including data extraction, cleaning, normalization, loading, and the orchestration of ETL workflows at scale. For extracting, orchestrating, and loading data at scale, data engineers and ETL developers skilled in SQL or programming languages like Python or Scala can use AWS Glue. ETL developers often prefer the visual interfaces common in modern ETL tools over writing SQL, Python, or Scala, so AWS recently introduced AWS Glue Studio, a new visual interface to help author, run, and monitor ETL jobs without having to write any code. Once the data has been reliably moved,…