Fast BI


31

Jan 2018

B.I and A.I with context – a key to deeper insights.

Analytical Queries: it pays to understand the Dimensional Context Harish Butani – CTO Sparklinedata A Business Intelligence and/or Data Science initiative is driving at similar outcomes: to gain insights/extract useful patterns about a particular business activity. The activity could be anything from analyzing sales, to web traffic, to Ad. campaigns and on and on. The insights sought are also very varied from trends in sales,...

Read More


28

Nov 2017

Multi-Dimensional analytics at scale

In a typical enterprise there are broadly two kinds of B.I projects . Focus on factual reporting and analysis – These projects involve implementing Hadoop or some Big Data stack for organizing and managing an enterprise datawarehouse and running SQL queries for reporting or connecting Tableau etc for slice and dice analysis – Some level of ad hoc querying using tools provided by single node B.I...

Read More


27

Sep 2017

5 ways to rethink your data access strategy

Leveraging data is increasingly becoming critical to business success. However much of the data is locked in slow datamarts, legacy OLAP cubes and inaccessible Hadoop clusters. As a result, business users are stuck in second gear on an old car, unable to move at the speed needed to execute effectively. Dashboards, A.I and cool visualizations may dominate the conversation around analytics and B.I, but the...

Read More


17

Aug 2017

Connecting Excel to SNAP

SNAP can be accessed using standard B.I tools and Excel is one of the most widely used tools for analysis, Pivots and much more. To connect Excel simply use an ODBC Driver for Spark such as from Simba. On a mac you can setup a user DSN as follows   To connect to SNAP you can use the Simba ODBC Spark Driver. Since SNAP is...

Read More


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,...

Read More



Page 1 of 41234