Big data ppt
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The document provides an overview of big data, its importance, applications, and future trends in the IT industry. It highlights how big data has transformed organizations and the need for specialized knowledge and tools to manage and analyze vast amounts of information. The potential market for big data software is significant, projected to grow substantially in the coming years.
Big data ppt
- 1. Big Data Presented by: a.pranay
- 2. Content: • Introduction • What is Big Data • Why Big Data • Storing, Selecting and Processing of Big Data • How it is Different • Application of Big Data • Benefits of Big Data • How Big Data Impact on IT • Future of Big Data
- 3. Introduction: • Big Data may well be the Next Big Thing in the IT world. • Big data burst upon the scene in the first decade of the 21st century. • The first organizations to embrace it were online and startup firms. Firms like Google, eBay, LinkedIn, and Facebook were built around big data from the beginning. • Like many new information technologies, big data can bring about dramatic cost reductions, substantial improvements in the time required to perform a computing task, or new product and service offerings.
- 4. What is big data: • ‘Big Data’ is similar to ‘small data’, but bigger in size • but having data bigger it requires different approaches: – Techniques, tools and architecture • an aim to solve new problems or old problems in a better way • Big Data generates value from the storage and processing of very large quantities of digital information that cannot be analyzed with traditional computing techniques.
- 6. Why big data: 1. Growth of Big Data is needed 2. Increase of storage capacities 3. Increase of processing power 4.Availability of data(different data types) 5. Every day we create 2.5 quintillion bytes of data
- 8. Selection of big data: • Choosing the correct data stores based on your data characteristics • Moving code to data • Implementing polyglot data store solutions • Aligning business goals to the appropriate data store
- 9. Processing of big data: Integrating disparate data stores • Mapping data to the programming framework • Connecting and extracting data from storage • Transforming data for processing Subdividing data in preparation for Hadoop MapReduce Employing Hadoop MapReduce • Creating the components of Hadoop MapReduce jobs • Distributing data processing across server farms • Executing Hadoop MapReduce jobs • Monitoring the progress of job flows
- 10. How big data is different: • Automatically generated by a machine (e.g. Sensor embedded in an engine) • Typically an entirely new source of data (e.g. Use of the internet) • Not designed to be friendly (e.g. Text streams) • May not have much values need to focus on the important part
- 11. Applications of big data:
- 12. Benefits of big data • Big Data is already an important part of the $64 billion database and data analytics market • It offers commercial opportunities of a comparable scale to enterprise software in the late 1980s • And the Internet boom of the 1990s, and the social media explosion of today
- 13. How big data impact on our IT Big data is a troublesome force presenting opportunities with challenges to IT organizations. • By 2015 4.4 million IT jobs in Big Data ; 1.9 million is in US itself • India will require a minimum of 1 lakh data scientists in the next couple of years in addition to data analysts and data managers to support the Big Data space.
- 14. Future of big data: • $15 billion on software firms only specializing in data management and analytics. • This industry on its own is worth more than $100 billion and growing at almost 10% a year which is roughly twice as fast as the software business as a whole. • In February 2012, the open source analyst firm Wikibon released the first market forecast for Big Data , listing $5.1B revenue in 2012 with growth to $53.4B in 2017 • The McKinsey Global Institute estimates that data volume is growing 40% per year, and will grow 44x between 2009 and 2020
- 15. Thank you