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We are proud to announce that Alteryx Promote is now generally available. Alteryx Promote allows data scientists and analytics teams to build, manage and deploy predictive models to production faster — and more reliably — without writing any custom deployment code.
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.
For the first time, Alteryx was named a “Challenger” in the Gartner Magic Quadrant for Data Science Platforms. This blog give the Alteryx perspective on the analytics market and our thought this great achievement.
Alteryx was recently positioned as a “Visionary” in the 2016 Gartner Magic Quadrant for Advanced Analytics Platforms. At Alteryx we’ve always been focused on addressing the needs of the data analyst who wants to be more self-sufficient. We’ve spent considerable time and effort on the user experience in Alteryx to make advanced analytics accessible to analysts and users of all levels.
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.
Every analyst knows that great analysis starts with the right data. Predictive analytics is no different. To build the best performing models, it is critical to get the data in the best shape before running the analytics and building out the modeling process. That is why we are happy to release the latest in our "cookbook" series, the "7 Steps to Data Blending for Predictive Analytics."
It was our pleasure this past week to participate in SparkSummit West and have Alteryx be included in the speaking line up. The incredible growth of SparkSummit has been breathtaking (doubling each of the past two years to now 2,000 attendees) and certainly reflected the energy of Spark as movement in the Big Data ecosystem.