Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Why hadoop for big data?

621 views

Published on

Working with Big Data by using traditional relational databases and thousands of enormously expensive servers is no longer the best option. Here comes Apache Hadoop – a reliable open source technology that enables high-performance processing of huge amounts of data. It is an excellent solution to run large, scalable, distributed computations.

Published in: Technology
  • Be the first to comment

  • Be the first to like this

Why hadoop for big data?

  1. 1. ©2014 by EliNext Group Why Hadoop for Big Data Nowadays, digital data is growing exponentially. Proliferation of its volume, variety and velocity is known as the Big Data phenomenon. Big Data includes large, diverse, complex, structured, semi-structured and unstructured datasets generated through software systems, collaboration tools, social networking, video streams, payment transactions, sensors and all other possible digital sources.
  2. 2. ©2014 by EliNext Group Obviously, those companies and organizations that are best able to leverage Big Data for making well-timed and well-aimed business decisions are expected to prosper in the near and distant future. The challenge here lies in finding the most efficient ways to manage, analyze, visualize and create new value from terabytes and even petabytes of information in real time. Working with Big Data by using traditional relational databases and thousands of enormously expensive servers is no longer the best option. Here comes Apache Hadoop – a reliable open source technology that enables high-performance processing of huge amounts of data. It is an excellent solution to run large, scalable, distributed computations. Hadoop's file system (HDFS) is different from other distributed file systems. HDFS creates multiple replicas of data blocks and distributes them on compute nodes throughout a cluster in order to ensure extremely rapid computations. The file system
  3. 3. ©2014 by EliNext Group is very fault-tolerant and is designed to be deployed on lowcost hardware. It is also due to Hadoop MapReduce software framework that allows easy writing of applications for processing vast amounts of data (multi-terabyte datasets) in-parallel on large clusters of commodity hardware. A wide variety of enterprises and organizations use Hadoop for both research and production. According to IDC, revenues for the worldwide Hadoop-MapReduce ecosystem software market are expected to grow to $812.8 million in 2016 from $77 million in 2011. Recognizing the tremendous value of Hadoop for Big Data processing and analytics, many companies invest time and resources in this technology, seeing this as a necessary step towards a sustainable development of their businesses. Some of the notable users of Hadoop include Amazon.com, American Airlines, Apple, eBay, Facebook, Hewlett-Packard, IBM,
  4. 4. ©2014 by EliNext Group LinkedIn, Microsoft, Twitter, Yahoo!. Industries and Technology Areas: Industries: software development Technology Areas: Hadoop, HDFS, MapReduce, Big Data
  5. 5. ©2014 by EliNext Group ELINEXT GROUP Website: http://www.elinext.com Email: info@elinext.com Corporate Blog: http://software-topics.com Facebook: http://www.facebook.com/elinext Twitter: https://twitter.com/elinext Pinterest: http://www.pinterest.com/elinext/
  6. 6. ©2014 by EliNext Group Ireland office Marina House, Adelphi Quay Waterford, Republic of Ireland  +353 (51) 347 47 Belarus Development Center 155b Bogdanovich St. 220040 Minsk, Belarus  +375 (17) 237 53 65 Vietnam Development Center 37A Phan Xich Long St. Ward 3, Phu Nhuan District Ho Chi Minh City, Vietnam  +84 (8) 3995 6849 Suggested citation: EliNext Group.2014. “Why Hadoop for Big Data” <http://www.elinext.com/why-hadoop-for-big-data>

×