Introduction to Big Data (PowerPoint PPTX)

This document is a part of the Big Data Primer containing 7 chapters providing Overview of Big Data, its dimensions, ecosystem, applications, challenges & concerns, sentiment analysis and Gamification.
In the first chapter titled "Introduction to Big Data" following content is discussed -
Brief History of Data
Changing Landscape of Data
What is Big Data?
Sources of Big Data
Dimensions of Big Data

This presentation delves into the historical evolution of data, highlighting key milestones such as the 1800 census and the first warnings of information overload in 1944. It underscores the exponential growth of data, with projections for the Yale Library and the first use of the term "Big Data" by NASA researchers in 1999. The PPT also discusses the age of information explosion, noting significant events like the overtaking of mobile internet use over desktops in 2014 and the prioritization of Big Data analysis by 88% of surveyed executives.

The presentation also covers the data value chain, from generation to insights, emphasizing the increased ability to collect and combine data from new sources like social media and sensors. It outlines the differences between structured and unstructured data, providing examples of each and their respective storage methods. The document also lists various sources of Big Data, including archives, machine logs, sensors, social media, software applications, and public sources.

The document concludes with a forward-looking perspective on the future of Big Data storage, referencing innovative ideas such as storing data in DNA. This comprehensive overview equips executives with a solid understanding of Big Data's history, current landscape, and future trends, making it an essential resource for those looking to stay ahead in the data-driven business world.