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3 Things To Know About AWS Glue DataBrew

Amazon Web Services’ new visual data preparation tool for AWS Glue includes 250 pre-built functions to automate data preparation tasks without writing code.

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Who’s Using It

Japanese mobile service provider NTT DOCOMO, London-based energy company BP and INVISTA, a chemical intermediates, polymers and fibers producer with headquarters in Wichita, Kan., are among the AWS customers that have been using AWS Glue DataBrew.

Data analysts for Toyko-based NTT DOCOMO profile and query structured and unstructured data to better understand usage patterns, according to Takashi Ito, NTT DOCOMO’s general manager of marketing platform planning.

“AWS Glue DataBrew provides a visual interface that enables both our technical and non-technical users to analyze data quickly and easily,” Ito said in a statement. “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.“

A data lake is a critical part of BP’s analytics strategy, and the company has been challenged by not being able to easily explore data before ingestion into its data lake, according to John Maio, the company’s director of data and analytics platforms architecture. AWS Glue DataBrew helps the company better manage its data platform and improve data pipeline efficiencies, he said.

“AWS Glue DataBrew has sophisticated data profiling functionality and a rich set of built-in transformations,” Maio said. “This enables our data engineers to easily explore new datasets in a visual interface and make modifications in order to optimize ingestion and allow analysts to shape the data for their analytics solutions.”

Data is essential to optimize INVISTA’s manufacturing processes, according to Tanner Gonzalez, the company’s analytics and cloud leader.

“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,” Gonzalez said. “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. AWS Glue DataBrew will empower our analysts and data scientists to perform advanced data engineering activities, giving them the freedom to explore their data and decreasing the time to derive new insights.”

 
 
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