Day 1: |
Day2: |
Big Data Fundamentals
- Data explosion and evolution of Big Data
- Sources of Big Data
- Difference between BI/Datawarehouse
- Benefits & Challenges of Big Data
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Creating a Big Data Strategy: 7 step model
- Business imperatives
- Data inventory & Quality Audit
- Analytical Models
- Test & Validation
- Operationalise
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Big Data Cross Industry Blueprint: Use cases & Case studies:
- Acquire, grow & Retain customers
- Fraud reduction
- Datawarehouse/ETL re-architecture
- Security & ITOps
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Information Sources, Quality and Audit
- Internal sources
- External sources
- Data Audit methods
- Data quality methods
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Big Data Industry Blueprint : Use Cases and Case studies:
- FSI, Telecom
- Retail, Manufacturing
- Government, Utilities
- Healthcare
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Data Science & Analytics Fundamentals:
- Machine learning
- Analytic models
- Predictive Analytics
- Visualisation
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Workshop – Crafting a Big Data strategy for ACME Ltd – Part 1 |
Workshop – Crafting a Big Data strategy for ACME Ltd – Part 2 |
Big Data Technologies:
- Hadoop/Mapreduce and opensource ecosystem
- NoSQL, realtime and in memory models
- Cloud based offerings
- Big Data architectures integration
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Big Data Privacy, Security and Governance:
- Privacy & Building trust with customers
- Security frameworks for Big Data
- Governance models to protect organisation reputation
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Big Data Vendor Landscape:
- Megavendors: IBM, HP, SAP, Teradata, Pivotal, Oracle etc
- Niche technology vendors: Cloudera, Hortonworks and other emerging leaders
- Cloud offering: Amazon, Google, Rackspace etc
- Niche service vendors
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Execution and implementation of Big Data Initiatives:
- Business case and ROI for Big Data initiatives
- Analytical model and team creation
- Selling a Big Data project internally
- Project Governance
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