Search
Homepage Rankings and Research Companies Channelcast Marketing Matters CRNtv Events WOTC Jobs Cisco Partner Summit Digital 2020 Lenovo Tech World Newsroom Dell Technologies World Digital Experience 2020 HPE Zone Masergy Zenith Partner Program Newsroom Intel Partner Connect Digital Newsroom Dell Technologies Newsroom Fortinet Secure Network Hub IBM Newsroom Juniper Newsroom The IoT Integrator Lenovo Channel-First NetApp Data Fabric Intel Tech Provider Zone

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.

1   2   3   ... 4 Next

Amazon Web Services’ new visual data preparation tool for AWS Glue allows users to clean and normalize data with an interactive point-and-click visual interface without writing custom code.

AWS Glue DataBrew helps data scientists and data analysts get the data ready for analytics and machine learning (ML) 80 percent quicker than traditional data preparation approaches, according to the cloud provider, which made the tool generally available on Wednesday.

The new offering builds on AWS Glue, which AWS generally released in April of 2017. AWS Glue is a serverless, fully managed, extract, transform and load (ETL) service to categorize, clean, enrich and move data between various data stores. It has a central data repository called the AWS Glue Data Catalog, an ETL engine that generates Python code automatically and a flexible scheduler to handle dependency resolution, job monitoring and retries.

For AWS Glue DataBrew, AWS is offering more than 250 pre-built functions to automate data preparation tasks that otherwise would require days to weeks to code, according to the company.

AWS customers are using data for analytics and ML at an unprecedented pace, but regularly tell AWS that their teams are spending too much time on the “undifferentiated, repetitive, and mundane tasks associated with data preparation,” according to Raju Gulabani, AWS’ vice president of database and analytics. They spend up to 80 percent of their time cleaning and normalizing data rather than analyzing and extracting value from it, according to 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,” Gulabani said in a statement. “AWS Glue DataBrew features an easy-to-use visual interface that helps data analysts and data scientists of all technical levels understand, combine, clean and transform data.”

Here’s a look at some of the top things to know about AWS Glue DataBrew.

 
 
1   2   3   ... 4 Next

sponsored resources