The document provides an overview of big data, including defining it as the collection of large, complex datasets from both structured and unstructured sources. It discusses the types of big data sources, characteristics of big data including volume, velocity and variety, and the importance of big data in providing business insights. Additionally, it outlines the typical components of a big data platform for acquiring, organizing, analyzing and making decisions from data, and provides best practices for implementing big data solutions.

1. Big Data Overview
by Ankit Rathi
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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
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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
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4. Types of Big Data
• Traditional enterprise data (CRM, ERP,
Transactional data)
• Machine-generated /sensor data (meters,
sensors, recorders)
• Social data (Facebook, Twitter)
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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)
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6. Characteristics of Big Data
• Volume (very high volumes)
• Velocity (very high frequency)
• Variety (non-traditional data formats)
• Value (different economic value)
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7. Importance of Big Data
• Thorough/insightful understanding of
business
• Enhanced productivity
• Stronger competitive position
• Greater innovation
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8. Big Data Platform
• Acquire (DBMS, Files, NoSQL, HDFS)
• Organize (ETL/ELT/MapReduce)
• Analyze (ODS/DWH/OLAP)
• Decide (Reports/BI/Analytics)
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9. Solution by Oracle
• Oracle Big Data Appliance (Stream & Acquire)
• Oracle Big Data Connectors (Organize)
• Oracle Exadata (Analyze)
• Oracle Exalytics (Visualize)
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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
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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
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