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    Home Database
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    Alteryx Delivers In-Database Analytics for Amazon Redshift

    Written by

    Darryl K. Taft
    Published September 11, 2015
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      Alteryx, which provides a data blending and analytics platform, announced that in-database data blending with Amazon Web Services’ Amazon Redshift is available as part of the newly released Alteryx Analytics 10.0.

      This enables data analysts and other line-of-business users to use the Amazon Redshift cloud data warehouse to blend data at petabyte scale.

      The new capabilities enable the data processing within an Alteryx analytic workflow to be pushed into Amazon Redshift, where it can be executed on the Amazon Web Services (AWS) cloud. This improves performance when blending data with the very large data sets that many analysts use to drive decisions involving customer analysis, inventory levels, financial transactions, marketing campaign optimization and more.

      “Amazon Redshift offers customers a simple, cost effective way to store and analyze large amounts of data,” said Paul Ross, vice president of partner marketing at Alteryx, in a statement. “The combination of Alteryx Analytics 10.0’s in-database blending with Amazon Redshift provides line-of-business analysts with a unique opportunity to answer critical questions faster and with all the data sets available to them, unlike ever before.”

      Alteryx said line-of-business analysts and decision makers are driving a change in the use of analytical technologies, as they demand greater capabilities with larger scale and speed than before. This means business decision makers and analysts are relying on their databases to be more than just data repositories—they are analytical platforms.

      “We use Alteryx with Amazon Redshift because we need a fast way to uncover insights about our customer behavior,” said Julian Dell, IT director at amaysim, an Australian mobile services provider, in a statement. “The combination of Alteryx Analytics with Amazon Redshift providing fast in-database data blending and in-memory advanced analytics lets us get insights from the complex XML-based customer and call records we have, without a long development effort. This enables us to identify and respond to drivers of customer behavior faster than ever before.”

      The new Alteryx Analytics 10.0 platform delivers analytic independence to data analysts and other line-of-business users so they can easily blend data in any format and location without relying on other departments.

      “To keep pace with the speed of business, companies need in-depth insight into their customers, markets, and operations,” said Terry Wise, vice president of Worldwide Partner Ecosystem at AWS. “The Alteryx Analytics 10.0 platform for Amazon Redshift enhances the speed and simplicity for implementing and using analytics in the cloud resulting in smarter, more informed business decisions.”

      Alteryx announced Alteryx Analytics 10.0 last week. The new release delivers a more intuitive workflow for data analysts to blend data and perform predictive analytics, and provides an easier way for them to collaborate on analytic applications. It also provides analysts with expanded data blending and analytics capabilities with support for additional big data and cloud sources, including in-database data blending for Amazon Redshift, Impala, Spark and Teradata to support data blending at scale. Additionally, through its new Analytics Gallery and server interface, Alteryx Analytics 10.0 provides an easier way for data workers and business users to consume analytic applications.

      “Alteryx remains focused on delivering the best self-service analytic experience for data analysts and one that does not involve waiting weeks for critical insights,” said George Mathew, president and COO of Alteryx, in a statement. “With Alteryx Analytics 10.0, we’ve made it even easier and faster to blend data from a broad range of data sources and perform predictive analytics—and to do so at scale through our new in-database features.”

      With Alteryx Analytics 10.0, the company provides a simplified process for creating, sharing and consuming analytics across an organization. Through updates to Alteryx Server and the Alteryx Analytics Gallery, Alteryx provides two scalable options for hosting and executing analytical applications across the platform and within the business work group. In addition, the platform simplifies collaboration between analysts with its centralized version control for workflow development, and new administration capabilities for user-level event monitoring and reporting.

      Alteryx Analytics 10.0 also provides users with an intuitive self-service analytic experience. “The simple drag-and-drop interface of Alteryx provides a modern experience that empowers my team with an intuitive workflow for data blending and advanced analytics,” said Lloyd Tokerud, director of analytics at Ambit Energy, in a statement. “Ambit Energy then leverages Alteryx to perform in-database data blending and build predictive models without requiring our team to spend hours coding, enabling us to deliver faster and deeper insights that impact our bottom line.”

      Darryl K. Taft
      Darryl K. Taft
      Darryl K. Taft covers the development tools and developer-related issues beat from his office in Baltimore. He has more than 10 years of experience in the business and is always looking for the next scoop. Taft is a member of the Association for Computing Machinery (ACM) and was named 'one of the most active middleware reporters in the world' by The Middleware Co. He also has his own card in the 'Who's Who in Enterprise Java' deck.

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