Salesforce acquires Tableau for $16B, adding momentum to the rapidly growing analytics space and further highlighting the need for AtScale's unique analytics architecture.
AtScale CEO Chris Lynch provides his perspective on the exciting acquisition of Looker by Google.
AtScale’s newest release 2019.1 helps us stay true to our mission of helping enterprises realize the value of their legacy platform investments and capitalize on the speed at which data is proliferating, specifically addressing the challenges associated with migrating from on-prem to cloud, RDBMS to Hadoop, and legacy BI to advanced analytics. Read on for more information about this product release.
On May 25th, 2018 the EU enacted the new General Data Protection Regulations (GDPR). Now, one year on, the tentative returns are in. If you’re in the business of cloud transformation and responsible data deployment, you need to put a spotlight on data integrity and governance.
Data virtualization connects data silos and enables a single view of data without having to physically integrate it. Learn more about data virtualization in the enterprise.
The CDO presents an opportunity to define the priorities and pain points for a company’s most important asset: Data. Understand the 7 keys to this role.
As the BI market continues to mature, Tableau and Microsoft retain their positions as the dominant players in Gartner's 2019 magic quadrant on BI and Analytics. ThoughtSpot and Looker are the two emerging vendors to watch.
As part of its new partnership with Snowflake, AtScale has implemented features that augment Snowflake's use of different-sized warehouses to optimize cost and compute.
Rakuten, a leading cashback and rewards website, initially used AtScale to improve analytics performance on Hadoop. AtScale enabled Rakuten to seamlessly migrate to Snowflake while continuing to optimize performance on their new cloud data platform.
Enterprises need a Virtual Data Warehouse to provide a single view of their data regardless of where it is stored, accelerate time to insight, and keep data secure.
AtScale empowers enterprises to benefit from Google BigQuery while keeping analysts on Microsoft Excel.
Learn how AtScale enables enterprises to optimize cloud costs and increase query performance on any cloud environment.
Enterprises are trusting cloud data warehouses with greater frequency. Amazon Redshift, Google, and Snowflake are three of the main players in the CDW space.
OLAP emerged in the 1990s with the releases of tools like Essbase and Microsft SQL Server Analysis Services. However, OLAP has been plagued by inefficiency as data volumes have exploded. AtScale's Virtual Data Warehouse empowers enterprises to realize strong BI performance with OLAP.
Hadoop was created with the goal of lowering the cost of analyzing data, but implementations often resulted in similar BI performance challenges. AtScale's use of in-memory aggregates alleviates many of the inefficiencies of BI on Hadoop.
Data architects often have to go to great lengths to model complex business logic in a scalable fashion. AtScale enables this modeling to take place away from BI consumers, allowing more efficient analysis of complex business information.
Most enterprises have data architects that create a data model for how their organization's business intelligence users consume data. AtScale enables these architects to model advanced business logic that doesn't fit into a traditional schema in a manner that can be easily interpreted by BI users.
Financial Services organizations run frequent time specific calculations to measure the health of their businesses. New data platforms have made running these calculations increasingly arduous. AtScale's Intelligent Data Fabric enables business analysts to execute these calculations efficiently.
The ability of a Data Lake to store vast amounts of information carries enormous potential to an enterprise. However, many organizations that employ Data Lakes struggle with BI performance against that data, resulting in individual users creating extracts that detract from the Data Lake's value.
IBM's record breaking purchase of Red Hat is a clear indicator of the opportunity in front of cloud technology providers. Enterprises that migrate data to the cloud in the near term will be able to take the greatest advantage of the cost and performance benefits of doing so.