What You will Learn Unleash the power of Big Data! Enhance big data analytics skills Enrich analytic skills Key Roles Phases of Life cycle process Key Deliverables to stakeholders Audience
Application Developers
Business Analysts
BI / Data warehouse Developers
Technical Consultants
Enterprise Architects
Technical Project Managers
Prerequisites Suggested Prerequisites Relational Database concepts, Data Warehousing concepts, RDMS, OLTP, OLAP, ROLAP, MOLAP, Star Schema, Facts, Dimensions etc. Course Objectives
Explain the concepts of Big Data and related technologies
Understand What is Big Data
Big Data Market Big Picture
Big Data Tools
Big Data Reference Architectures
Big Data Solutions
The primary goal of big data analytics is to help companies make better business decisions by enabling data scientists and other users to analyze huge volumes of transaction data as well as other data sources that may be left untapped by conventional business intelligence (BI) programs.
These other data sources may include Web server logs and Internet clickstream data, social media activity reports, mobile-phone call detail records and information captured by sensors.
Some people exclusively associate big data and big data analytics with unstructured data of that sort, but consulting firms like Gartner Inc. and Forrester Research Inc. also consider transactions and other structured data to be valid forms of big data.
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