Blog


10

May 2017

Tableau and OLAP analytics on Hadoop data

Most customers find Hadoop based query access to tools like Tableau cumbersome and slow. When you account for concurrency requirements of enterprises, using a B.I tool on top of Hadoop turns to a project with a slew of summarized extracts consuming enormous resources and time and leading to productivity sinks. With SNAP we have a different approach to dealing with the ad-hoc query requirements on...

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28

Apr 2017

Sensors, IOT data and Spark

When we think of Big data we think of media, ad tech and the social apps generating billions of events. Other industries such as energy and medical device industry have always produced data – generally large amounts of it. The explosion in data for these industries is happening with “sensors”. Connected computing devices with sensors collect and transmit data. This data has to be harnessed,...

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05

Apr 2017

Querying S3 datalakes – SQL and Tableau on S3

For many, AWS S3 is not just a deep storage, but a viable option for storing data that can be consumed by reporting and analytics tools. Sparkline SNAP works seamlessly with S3 data directly and exposes your data to tools like Tableau with very fast response times across hundreds of concurrent user sessions. Below is a video of data from a Star Schema Benchmark data...

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31

Mar 2017

Fast analytics on Spark – Really fast

Interactive ad-hoc analytics requires fast responses. Fast, in many benchmarks are single user tests that do not really reflect the realities of how business users use an analytics or Big Data platform. A good test is a comprehensive simulation of Tableau users pounding a system with a variety of queries. We simulated one such use case on a single r3.2x node on AWS ( 6...

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31

Mar 2017

Integrated Business Intelligence on Big Data Stacks.

Read the new post from our CTO on the changing landscape of B.I and analytics on Big Data stacks. Until recently Big Data stacks have primarily focused on SQL capabilities. Of late, support for Business Intelligence(BI) applications and workloads is coming into focus for both Big Data providers and consumers. BI is not just faster, better SQL: in its essence BI is about enabling the Business Analyst...

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