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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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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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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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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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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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Importance of Big Data
• Thorough/insightful understanding of business
• Enhanced productivity
• Stronger competitive position
• Greater innovation
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Big Data Platform
• Acquire (DBMS, Files, NoSQL, HDFS)
• Organize (ETL/ELT/MapReduce)
• Analyze (ODS/DWH/OLAP)
• Decide (Reports/BI/Analytics)
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Solution by Oracle
• Oracle Big Data Appliance (Stream & Acquire)
• Oracle Big Data Connectors (Organize)
• Oracle Exadata (Analyze)
• Oracle Exalytics (Visualize)
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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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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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