As a part of our enhancements to the 11.0 platform, Alteryx recently announced in-database capabilities for EXASOL, a high-performance in-memory database specifically designed for analytics. Learn why it was important to partner with EXASOL on this offering, and how to connect the two platforms via the new In-DB functionality, as well as existing input/output tools.
Alteryx Analytics Release 11.0 expands support for Microsoft SQL Server 2016, Microsoft R Server 9, Azure SQL Data Warehouse, and Microsoft Analytics Platform System to simplify and scale in-database processing and R-based predictive analytics for organizations! This release enables the analytics enterprise to achieve self-service data analytics at scale while balancing the data governance requirements of IT and Data Managers.
Analysts have to prepare and analyze data quickly to answer important business questions. Time spent blending data takes away from time spent analyzing and acting on it. Learn how to utilize the power of Alteryx and Microsoft Azure SQL Data Warehouse to perform massive and scalable data preparation in less time.
Databricks is focused on making big data simple, and with the Alteryx 10.6 release, blending and analyzing big data just got much easier. Alteryx users can now leverage the processing power of Apache Spark to further expedite the speed at which large datasets are blended with in-database blending for Databricks.
Amazon Web Services is proud to be a platinum sponsor for Inspire 2016 in San Diego, California this June. Register to attend the event and be inspired as you hear how Chick-fil-A is using AWS Redshift with Alteryx, our Advanced Technology Partner, to scale analytic insights for organizational growth.
The new Alteryx Analytics 10.5 release is all about driving deeper insights through self-service data analytics, and one key component in doing so is making it easy for analysts to access, prep and blend information from cloud sources and Big Data. One set of features now available in Alteryx Analytics 10.5 is the ability to easily access and leverage data from Amazon Aurora, Apache Hive and Microsoft Azure SQL Data Warehouse without coding.
A short video on Big Data and Data Blending, moderated by Ben Lorica, Chief Data Scientist, O'Reilly Media, and Program Director of Strata + Hadoop World. Ben interviews Amr Awadallah, Founder and CTO of Cloudera, and George Mathew, President and COO of Alteryx as they discuss how data analysts are getting more value out of Hadoop.
With our Alteryx Analytics 10.0 release, Alteryx delivers even more data blending functionality with new in-database capabilities for Amazon Redshift, Cloudera Impala, Teradata and Spark, enabling line-of-business analysts to take full advantage of the new Big Data stack.