Title Big Data Analytics_Lecture Slides.pdf ✅

Big Data Analytics BTCSE DED 42 Dept of Computer Sc. & Engg.
Unit 1 (prescribed syllabus) • Introduction To Big Data And Hadoop • Types of Digital Data • Introduction to Big Data • Big Data Analytics • History of Hadoop • Apache Hadoop • Analysing Data with Unix tools • Analysing Data with Hadoop • Hadoop Streaming • Hadoop Echo System • IBM Big Data Strategy • Introduction to Infosphere BigInsights and Big Sheets
Big Data • Big Data is data whose scale, distribution, diversity, and/or timeliness require the use of new technical architectures and analytics to enable insights that unlock new sources of business value - McKinsey Global report, 2011. • Big Data refers to large amounts of massive data yet increases exponentially in size over time. • Data is so extensive and complicated that no usual data management methods can effectively store or handle it. • Big data is like data, but enormous. • Structure of data dictates how to work with it and what insights it may provide • Attributes of Big Data: Huge volume of data, Complexity of data types and structures, Speed of new data creation and growth
Examples Discovering consumer shopping habits Finding new customer leads Fuel optimization tools for the transportation industry Live road mapping for autonomous vehicles Monitoring health conditions through data from wearables Personalised health plans for cancer patients Personalised marketing Predictive inventory ordering Real-time data monitoring and cybersecurity protocols Streamlined media streaming User demand prediction for ridesharing companies