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INTRODUCTION TO BIGDATA

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Jagadeesh Raju
Jagadeesh Raju

This document introduces the concepts of database management systems (DBMS) and big data. It notes that while DBMS are useful for structured data, they have limitations in handling huge unstructured data sets, known as "big data". Big data is characterized by its volume, velocity and variety of data. It provides examples of how big data can help companies save money and improve customer service. The document also lists some applications of big data and major companies working in the big data field.

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Introduction to BIG DATA By Jagadeesh raju B. Indus Business Academy. Bangalore. 9916060019
WHAT IS DBMS ? It stands for Database Management System. ? Contains all the information about the enterprise. ? Collection of interrelated data. ? It is centralized database management. ? Persistent storage management. ? Transaction management.
Loopholes in DBMS ? Difficult to handle huge data. ? Supports only structured form of data. ? Always stores data in table format. ? High level query and data manipulation language. ? Interaction with the other levels are difficult.
WHAT IS BIG DATA ? As the name itself it is a huge data(T.B-P.B). ? Data sets are too large and complex. ? Very complex to manipulate or interrogate. ? Standard methods and tools are not enough. ? Big data spans three dimensions. ? Volume, velocity, variety.
How it is creating. ? At every end of 59th second the following data is generating.
Why big data should matter? ? Determine root causes for failures. ? Determine issues and defects in real time. ? Potentially saving billions of dollars annually. ? To analyze millions of SKUs to determine price. ? Recalculate entire risk in minutes. ? Quickly identify the customer who matters most.
Application for Big data ? Smarter health care. ? Multi channel sales. ? Social media. ? Telecom. ? Log analysis. ? Trading analysis. ? Manufacturing.
Big players in Big data ? Google. ? Facebook. ? Flipkart. ? Acenture. ? Infosys. ? Cognizant. ? Mu sigma.
INTRODUCTION TO BIGDATA

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INTRODUCTION TO BIGDATA

  • 1. Introduction to BIG DATA By Jagadeesh raju B. Indus Business Academy. Bangalore. 9916060019
  • 2. WHAT IS DBMS ? It stands for Database Management System. ? Contains all the information about the enterprise. ? Collection of interrelated data. ? It is centralized database management. ? Persistent storage management. ? Transaction management.
  • 3. Loopholes in DBMS ? Difficult to handle huge data. ? Supports only structured form of data. ? Always stores data in table format. ? High level query and data manipulation language. ? Interaction with the other levels are difficult.
  • 4. WHAT IS BIG DATA ? As the name itself it is a huge data(T.B-P.B). ? Data sets are too large and complex. ? Very complex to manipulate or interrogate. ? Standard methods and tools are not enough. ? Big data spans three dimensions. ? Volume, velocity, variety.
  • 5. How it is creating. ? At every end of 59th second the following data is generating.
  • 6. Why big data should matter? ? Determine root causes for failures. ? Determine issues and defects in real time. ? Potentially saving billions of dollars annually. ? To analyze millions of SKUs to determine price. ? Recalculate entire risk in minutes. ? Quickly identify the customer who matters most.
  • 7. Application for Big data ? Smarter health care. ? Multi channel sales. ? Social media. ? Telecom. ? Log analysis. ? Trading analysis. ? Manufacturing.
  • 8. Big players in Big data ? Google. ? Facebook. ? Flipkart. ? Acenture. ? Infosys. ? Cognizant. ? Mu sigma.