1 / 11

The Big Data Combat

The size of the data generated in the world explodes. Data is being constantly gathered by various sources. The Data keeps increasing many folds every day. Technology gears up to combat BIG DATA<br>

sarajstanford
Download Presentation

The Big Data Combat

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. The Big Data Combat SPEC INDIA

  2. What is it all about? • The size of the data generated in the world explodes • Data is being constantly gathered by various sources • The Data keeps increasing many folds every day • Technology gears up to combat BIG DATA

  3. Big Data • A large unstructured big volume data set • Too complex to be handled by commonly used database management systems • RDBMS • DBMS • Big data uses statistical inference to determine parameters from a large volume of data • Regressions • Nonlinear Relationships • Data Dependencies

  4. Sources of Data Today • The Internet • Mobile Devices • Remote Sensing • Software Logs • Cameras • Microphones • Radio Frequency Identification (RFID) • Wireless Sensor Networks

  5. The Challenges In the Growth & Digitization of This Global Information Storage

  6. Volume • BIG Volumes • The unceasing increase in the amount of data • Created everyday • Overwhelming in size

  7. Velocity • Velocity @ The Speed Of Light… • Speed of Data in and out • Transactions • Business Analysis

  8. Variety • Variety Spices up Big Data too • Data Types • Data Sources • Challenges in • Capture • Curate • Store • Interpretation • Meaningful Analys • Search • Data Visualization

  9. Big Data Rollout • Steps for a mature and meaningful data set • Data Profiling • Data Cleansing • Data Integration of structured and unstructured data • Data Merging • Data Migration • Data Replication • ETL / ELT / ETLT Design and Development • Interfacing legacy systems with the modern approach

  10. Big Data Tools • Hadoop, a distributed file system • MapReduce, a framework for data abstractions • Hive for data summarization and adhoc queries • Pig for parallel processing • HBase, a structured storage for large tables • Sqoop for data integration of Hadoop with RDBMS • Flume for data transfers of log data to centralized data repositories

  11. It is Big & is getting bigger too! Visit http://www.spec-india.com/services/bi-bigdata-database-services.html to request a FREE POC to Test Drive our services

More Related