introduction to business intelligence in big data world
DESCRIPTION
What it takes to create a Big Data Analytics scenario to go beyond realm of traditional BITRANSCRIPT
Agenda this hour:
Traditional BI LandscapeAnatomy of Big Data Analytics ApplicationApplication Demo from
Question
What is BI?Very smallVery Big
What is the difference between:Big Data analytics vs. Business AnalyticsBig Data vs. Hadoop
Intelligence through Analytics
Traditional BI Landscape……
Business Intelligence and Analytics Platform:
Traditional Business Intelligence
ETL
Database
EDW
OLAP
ODS Dashboards
Alerts & Notifications
Reporting
Traditional BI Applications
Understand various types of data within given limitationProcess data through applied rulesVisualize data with limited resourcesExtend results by sharing within enterprise
New Age BI Application
Able to understand various types of dataExtend data readability through plugins and connectorsAbility to clean the dataProcess data with applied rules locally and in distributed environmentVisualize sizable data with speedExtend results by sharing within enterprise and/or through various social platform is a plus
Understanding Business Intelligence landscape through a few prominent Applications
Anatomy of Big Data Analytics Application……
Big Data Analytics
Processing large amount of data without data movementAvoid data connectors if possible (run natively)Ability to understand vast amount of data types and data compressionsAbility to process data on variety of processing frameworkDistributed data processing
In-Memory is big plusSuper fast visualization
In-memory is big plus
Business Intelligence Application on Hadoop
Application must run natively on Hadoophave direct access to HDFS to read dataApplication uses either MapReduce or other processing model which does not move data from HDFSAvoid redundant data processing by applying incremental processing
After data processing application can visualize result data without significant preprocessing
Demo……
Thanks….