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Big Data Overview
by Ankit Rathi
http://ankitrathi.co.nr © 2013
Agenda
• Introduction
• Types of Big Data
• Data Realm for Information Architecture
• Big Data Characteristics
• Importanc...
Big Data Introduction
• Collection of large and complex data sets
• Integration of structured, semi-structured &
unstructu...
Types of Big Data
• Traditional enterprise data (CRM, ERP,
Transactional data)
• Machine-generated /sensor data (meters,
s...
Data Realm for Information
Architecture
• Master Data (Customer, product, supplier)
• Transaction Data (Purchase records, ...
Characteristics of Big Data
• Volume (very high volumes)
• Velocity (very high frequency)
• Variety (non-traditional data ...
Importance of Big Data
• Thorough/insightful understanding of
business
• Enhanced productivity
• Stronger competitive posi...
Big Data Platform
• Acquire (DBMS, Files, NoSQL, HDFS)
• Organize (ETL/ELT/MapReduce)
• Analyze (ODS/DWH/OLAP)
• Decide (R...
Solution by Oracle
• Oracle Big Data Appliance (Stream & Acquire)
• Oracle Big Data Connectors (Organize)
• Oracle Exadata...
Big Data Best Practices
• Align Big Data with Specific Business Goals
• Ease Skills Shortage with Standards and Governance...
References
• http://en.wikipedia.org/wiki/Big_data
• http://oracle.com/in/technologies/big-
data/index.html
• http://www-0...
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Big Data Overview

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Transcript of "Big Data Overview"

  1. 1. Big Data Overview by Ankit Rathi http://ankitrathi.co.nr © 2013
  2. 2. Agenda • Introduction • Types of Big Data • Data Realm for Information Architecture • Big Data Characteristics • Importance of Big Data • Big Data Platform • Big Data Best Practices http://ankitrathi.co.nr © 2013
  3. 3. Big Data Introduction • Collection of large and complex data sets • Integration of structured, semi-structured & unstructured data • Difficult to process using on-hand DBMS tools http://ankitrathi.co.nr © 2013
  4. 4. Types of Big Data • Traditional enterprise data (CRM, ERP, Transactional data) • Machine-generated /sensor data (meters, sensors, recorders) • Social data (Facebook, Twitter) http://ankitrathi.co.nr © 2013
  5. 5. Data Realm for Information Architecture • Master Data (Customer, product, supplier) • Transaction Data (Purchase records, inquiries, payments) • Refrence Data (Geo, market data) • Metadata (data definitions) • Analytical Data (dimensions & facts) • Document & Content (forms, files, images) http://ankitrathi.co.nr © 2013
  6. 6. Characteristics of Big Data • Volume (very high volumes) • Velocity (very high frequency) • Variety (non-traditional data formats) • Value (different economic value) http://ankitrathi.co.nr © 2013
  7. 7. Importance of Big Data • Thorough/insightful understanding of business • Enhanced productivity • Stronger competitive position • Greater innovation http://ankitrathi.co.nr © 2013
  8. 8. Big Data Platform • Acquire (DBMS, Files, NoSQL, HDFS) • Organize (ETL/ELT/MapReduce) • Analyze (ODS/DWH/OLAP) • Decide (Reports/BI/Analytics) http://ankitrathi.co.nr © 2013
  9. 9. Solution by Oracle • Oracle Big Data Appliance (Stream & Acquire) • Oracle Big Data Connectors (Organize) • Oracle Exadata (Analyze) • Oracle Exalytics (Visualize) http://ankitrathi.co.nr © 2013
  10. 10. Big Data Best Practices • Align Big Data with Specific Business Goals • Ease Skills Shortage with Standards and Governance • Optimize Knowledge Transfer with a Center of Excellence • Top Payoff is Aligning Unstructured with Structured Data • Plan Your Sandbox For Performance • Align with the Cloud Operating Model http://ankitrathi.co.nr © 2013
  11. 11. References • http://en.wikipedia.org/wiki/Big_data • http://oracle.com/in/technologies/big- data/index.html • http://www-01.ibm.com/software/in/data/bigdata/ • http://www.microsoft.com/en- us/sqlserver/solutions-technologies/business- intelligence/big-data.aspx http://ankitrathi.co.nr © 2013
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