Data engineers and analysts alike can easily get bogged down in the repetitive tasks required to make data analytics-ready – and the explosion of data being collected and stored in SaaS business applications is only adding to the problem. A large part of the work related to data prep is caused by inconsistent data definitions across data platforms and silos.
This solution brief shows how you can:
AtScale powers the analysis used by the Global 2000 to make million-dollar business decisions. The company’s Intelligent Data Virtualization platform provides Cloud OLAP, Autonomous Data Engineering™ and a Universal Semantic Layer™ for fast, accurate data-driven business intelligence and machine learning analysis at scale. For more information, visit www.atscale.com.
AtScale provides the premier platform for data architecture modernization. AtScale connects you to live data using one set of semantics without having to move any data.
Leveraging AtScale’s Autonomous Data Engineering™ query performance is improved by order of magnitude. AtScale inherits native security and provides additional governance and security controls to enable self-service analytics with consistency, safety and control. AtScale’s Intelligent Data Virtualization™ and intuitive data modeling enables access to new data sources and platforms without ETL and or needing to call in data engineering.