AtScale modernizes operational analytics. With AtScale, Tableau users can query billions of rows of live data and get results with sub-second response times. Business analysts can analyze massive amounts of data at the speed of thought, regardless of whether that data exists in an on-premise data warehouse like: Teradata, Hadoop, Cloudera, or SQL Server, or in a cloud data warehouse such as Amazon Redshift, Google BigQuery, or Snowflake. AtScale’s seamless integration with Tableau provides security, performance and agility to the enterprise that wants to enable broad access to data in a governed manner. AtScale requires no data movement and maximizes data access without compromising security. Learn more about AtScale below, or read the solution sheet detailing how working together, AtScale and Tableau provide adaptive analytics for today’s insight-driven enterprises.
AtScale’s no-ETL and no-data movement approach is simply a gamechanger. This application should be required for anyone who wants to do BI on Hadoop.
Enable Faster Time to Insight and Drive Tableau Adoption with AtScale
AtScale Adaptive Analytics (A3) sits between the data platform – AWS Redshift, Google Big Query, Azure SQL Datawarehouse, the Cloudera Data Platform and more and Tableau. A3 analyzes query patterns in real-time to automate and optimize the creation and management of smart aggregates, driving down time to insight from days to seconds. AtScale technology drives Tableau adoption within an organization by eliminating operational challenges such as slow query response time and interruptions due to data model changes. Read more about how AtScale solves the causes of slow query response time here.Learn more
Learn More About How AtScale Improves Tableau Performance on Google BigQuery and Amazon Redshift
AtScale enables businesses to migrate to a cloud data warehouse without business interruption. Once information is housed in a cloud data store, AtScale helps optimize Tableau performance, driving sub-second query response times and empowering analysts to rapidly deliver insights on key business questions.
Big Data Maturity Trends
The 2020 Big Data & Analytics Maturity Survey polled more than 150 data and analytics leaders, IT/business intelligence practitioners, and business professionals from multiple industries around the globe on their enterprise cloud strategy, and their data and analytics priorities and challenges. The survey results reveal the majority of enterprises are choosing a multi-cloud or hybrid cloud strategy, and that data virtualization and data governance are top priorities for big data and analytics leaders.Read the 2020 Big Data Maturity report here