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Analytics Blog

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Data is growing rapidly: according to Forbes, by 2020 the digital universe of data will contain 44 zettabytes of data, up from 4.4 zettabytes of data. For some perspective, 1 zettabyte = 1 trillion gigs of data.

 

Data is growing. So what?

If we can barely handle the current amount of data companies collect, what will wrangling even more data get us? $$$. In the same article, Forbes says that for a typical Fortune 500 company, a 10% increase in data accessibility will increase net income by $65 million. Since the current data usage rate is less than .5%, there is massive room for improvement and growth in a company’s bottom line. With in-database tools from Alteryx, we are making access to this invaluable data easier than ever.

 

In-DB functionality addresses 3 major data issues:

  1. With so much data, it is time-consuming to move the data out of the database and into another application for preparation and analysis. With In-DB tools, you don’t have to. The processing of the data is done directly in the underlying database, eliminating the most costly part of working with lots of data—the actual movement of it.
  2. In-DB tools take advantage of the infrastructure of the underlying database. Companies spend a lot of money and time setting up a data infrastructure that works best for them. The In-DB tools take full advantage of the already existing infrastructure and fit seamlessly into the environment that has already been so carefully engineered.
  3. In-DB tools utilize the same easy-to-use drag-and-drop interface as the rest of the Alteryx tools, enabling line of business users to access data just as easily as the SQL experts and database administrators.

 

 

 data-source.pngWith Alteryx Analytics 11.0, Alteryx adds four new data platforms to our already robust In-DB platform support - SAP Hana, IBM Netezza, Microsoft Analytics Platform System, and Microsoft Azure SQL Database. In addition to these, Alteryx Analytics 11.0 introduces predictive capabilities for SQL Server, enabling users to perform Linear Regression, Logistical Regression, Decision Tree, Score, Forest Model, and Boosted Model In-DB on SQL Server. Alteryx also offers In-DB predictive analytics for Oracle and Teradata. Our broad In-DB platform support allows you to harness the full value of your big data investment without requiring coding skills or time consuming data extracts.

 

To take advantage of these features, please download Alteryx Analytics 11.0 to get started. If you’re not yet an Alteryx customer you can download our free trial take these and all of the other new features available in Alteryx Analytics 11.0 for a test drive.

 

If you want more information about the other exciting and new features, please join us for a live webinar “Bridging the Gap: Self-Service Data Analytics meets Data Governance”, to see this and the other new features in action. You can also, follow our 11.0 release blog series.

 

Alex Patten

Alex Patten is the Product Manager for Data Platforms at Alteryx. She is responsible for driving the execution and delivery of product features related to connectors as well as influencing the Alteryx roadmap towards a rich ecosystem of technical integration with emerging data platforms. She has a background in software development and leading teams. She holds a Master’s in Information Systems from the University of Florida.

Alex Patten is the Product Manager for Data Platforms at Alteryx. She is responsible for driving the execution and delivery of product features related to connectors as well as influencing the Alteryx roadmap towards a rich ecosystem of technical integration with emerging data platforms. She has a background in software development and leading teams. She holds a Master’s in Information Systems from the University of Florida.