May 2016

Analyzing a billion rows with Tableau

“How do I make Tableau go against a live table with 100+ million rows and perform ad hoc queries on various slices of data”. This is a question we get often from data teams across all industries. With growing data across Hadoop, Oracle, Teradata – whatever be the environment, the need to do dimension analysis on the data in an ad-hoc manner with timely responses is...

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Apr 2016

Fast BI – A new approach

Business Intelligence is the heart of all analysis at enterprises. Data, that is collected about business events and metrics have to be organized and analyzed to glean business insights and the industry around data warehousing and visualization of trends and metrics is enormous. But as data has grown, the tools and technologies to analyze the data have not kept pace. While tools like Tableau are...

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Feb 2016

Fast B.I on Spark with Tableau

Tableau 9.0 and above comes with the driver to connect to Spark. Customers who are used to commercial databases will find using Spark with Tableau a bit cumbersome due to the lack of performance on joins and ease of using star schemas. Connecting Tableau live causes performance issues and many companies resort to building materialized tables and temporary tables or extracts to Tableau to work...

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Jan 2016

Interactive analysis on Apache Spark with Druid

  NOTE: June 2017 update: Our new product SNAP is built completely on Spark and our focus is on building SNAP. SNAP combines all the benefits of a fast index like Druid with an advanced optimization engine on Spark for Enterprise Datawarehousing needs, multiway joins, star/snowflake schemas etc. SNAP also works well with Tableau across billion row live datasets. SNAP can be deployed on AWS...

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