When big data volumes pass beyond GBs and into the TBs, combining the in-database capabilities of Alteryx with the new Azure Data Warehouse can help. Learn how this winning combination delivers better performance and petabyte scale analytics.
With the release of 2018.1, Alteryx delivers increased analytic flexibility for users and builds on our great partnership with Amazon Web Services (AWS). The new Amazon Athena and Redshift Spectrum connectors further empower Alteryx users to harness the full value of their existing analytics architecture and emerging big data assets.
That's where the struggle lies now – the ability to prep, blend, enrich, and validate data so you can analyze and verify your findings prior to visualization. It's everything before the dashboard that consumes so much time and effort. We invite you to join Alteryx and our trusted partner, InterWorks, on Tuesday, September 26th at noon Eastern / 9 am Pacific for our discussion on, "The ‘Before’ and ‘After’ of Impactful Analytics Today.”
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.
Dean Stoecker, our CEO, has now been inducted into the prestigious Data 50 rankings by Information Age, recognizing him as a top individual driving data and business value across the enterprise. This was an exciting award for the company and we are proud to have Dean join these ranks.
In part 3 of this three part blog series, we expand on the previous analysis, which illustrated some of the characteristics that differentiate political leanings by counties, to look at the underlying motivations as to why those characteristics matter.
In this three part blog series, we're taking a deeper view of county level political partisanship by analyzing socioeconomic and demographic data to determine how political preferences may be influenced, and if indeed partisan polarization is consistent with the concept of the "big sort."
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.