SQream Combats Large Data with Release of SQream DB v2020.1
March 05, 2020
SQream DB enables the analysis of more data and dimensions, at query times possible for massive data volumes.
SQream announced the latest release of its data analytics engine, SQream DB v2020.1. According to the company, SQream DB enables the analysis of more data and dimensions, at query times possible for massive data volumes.
SQream DB v2020.1 is designed for enterprises with large data stores, who are not able to analyze enough of their data to deliver new and critical insights.
SQream DB v2020.1 highlights and enhancements include:
- Streamlined HDFS Integration
- ORC Columnar Format Joins Parquet
- S3 Connectivity
- Direct Queries of Massive Data
- Fast Iteration of AI/ML Workflows
- Powerful Analytics
SQream DB v2020.1 is specifically designed for handling large analytic workloads and enabling the resolution of data challenges faced by enterprises with Hadoop or legacy data warehouses. SQream DB accelerates analytics, turning growing data stores into a competitive differentiator.
For more information, visit: https://sqream.com/announcing-sqream-db-v2020-1/
Tiera Oliver is the assistant managing editor at Embedded Computing Design. She is responsible for web content editing, product news, and story development. She also manages, edits, and develops content for ECD podcasts, including Embedded Insiders.
She utilizes her expertise in journalism and content management to oversee editorial content, coordinate with editors, and ensure high-quality output across web, print, and multimedia platforms. She manages diverse projects, assists in the production of digital magazines, and hosts company podcasts by conducting in-depth interviews with industry leaders to deliver engaging and insightful discussions.
Tiera attended Northern Arizona University, where she received her bachelor's in journalism and political science. She was also a news reporter for the student-led newspaper, The Lumberjack.
