Fast BI


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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14

Mar 2017

Making data useful and ubiquitous

Datawarehouses have evolved over the years. With Hadoop reaching a level of maturity and Spark as a powerful engine to power various workloads, we are now at a point to truly democratize consumption of data to power insights. Savvy data driven companies, combine the power of automated data analysis with human insights. In order to get everyone in an organization to leverage the data, data...

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07

Feb 2017

Advanced Tableau on Spark /Hadoop

Most benchmarks on datawarehouse optimizations and SQL engines stop with simple examples. The real world uses business intelligence tools where the use cases are not single user single SQL as in a simulated benchmark, Modern B.I on Big Data should satisfy three key requirements Should be able respond interactively as a user drills down into data in Hadoop/Spark, in seconds. While B.I is not about retrieving...

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