Translate to your Language

Thursday, July 17, 2014

BI Tool - Sisense

by Unknown  |  in Tools at  6:06 AM







--It's another day and another BI tool, the old traditional way of tool data analytic no longer works. The BI software company's need to bring new technology to handle huge volume data and provide faster results and better data visualizations for business users

Today I am going to provide some highlights on "SiSense" Business Intelligence and Analytics software tool

Who is SiSense :
SiSense is a business analytics software company with offices in NY , Its business intelligence product which enables non-technical users to join and analyze large data sets from multiple sources, and a front-end for creating visualizations, like dashboards and reports, on any device, including mobile.

Architecture:
         
Using Entire Memory Hierarchy :- Like other BI tools this tool not only uses in-memory it also uses the memory available in the CPU and CPU power for better result.

Column Data Store :- Another change in the structure is the usage for column data store than the row based approach which will speed up data retrieval.
A columnar database is a database that stores data in columns instead of rows.  
One of the main benefits of a columnar database is that data can be highly compressed.

CPU Usage:-
            The toll takes full advantage of the fastest available memory: the CPU cache.  

Single Instruction, Multiple Data (SIMD)
This tool leverages Single Instruction Multiple Data (SIMD) instructions, also called vector instructions, from modern chip sets by applying vector algebra to the data. Taking full advantage of these In-Chip SIMD instructions enables columns of data to be acted upon in a single instruction.

Crowd Accelerated BI:
This tool breaks each query into blocks and caches them individually, collecting the blocks in a “recycle bin”. When a new question is asked, query blocks can be quickly reused by simply pulling them from the recycle bin.


This tool allows you to join multiple data sources and create a dashboard on top of it.

References :- http://www.sisense.com/*

0 comments:

© Copyright © 2015Big Data - DW & BI. by