AWS Glue DataBrew: Enabling customers to clean and normalize data without writing code

2020-11-13 02:30

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 is a visual data preparation tool for AWS Glue that allows data analysts and data scientists to clean and transform data with an interactive, point-and-click visual interface, without writing any code.

"AWS customers are using data for analytics and machine learning at an unprecedented pace. However, these customers regularly tell us that their teams spend too much time on the undifferentiated, repetitive, and mundane tasks associated with data preparation," said Raju Gulabani, VP of Database and Analytics, AWS. "Customers love the scalability and flexibility of code-based data preparation services like AWS Glue, but they could also benefit from allowing business users, data analysts, and data scientists to visually explore and experiment with data independently, without writing code."

"Our analysts profile and query various kinds of structured and unstructured data in order to better understand usage patterns," said Takashi Ito, General Manager of Marketing Platform Planning Department, NTT DOCOMO. "AWS Glue DataBrew provides a visual interface that enables both our technical and non-technical users to analyze data quickly and easily. Its advanced data profiling capability helps us better understand our data and monitor the data quality. AWS Glue DataBrew and other AWS analytics services have allowed us to streamline our workflow and increase productivity."

"Data is critical to optimizing our manufacturing processes. One of the challenges we face is ensuring we have a clean data lake that can serve as the source of truth for our analytics and machine learning applications," said Tanner Gonzalez, Analytics and Cloud leader, INVISTA. "The data ingested into our data lake often contains duplicate values, incorrect formatting and other imperfections that make it difficult to use in its raw form. Amazon AWS Glue DataBrew will allow our data analysts to visually inspect large data sets, clean and enrich data, and perform advanced transformations."

News URL

http://feedproxy.google.com/~r/HelpNetSecurity/~3/aLlY_OzX_YE/

#AWS