Big Data: Threat or Opportunity?
summary
Claims that Hadoop is a practical platform not vaporware: core pieces are HDFS and MapReduce, clusters scale from a few nodes to ~5,000 servers holding 100 petabytes+, and Hadoop runs on Windows/Azure via HDInsight on Azure. Examples include GE aircraft telemetry (~1 TB per flight), casinos emitting interaction and sensor feeds, and Sears offloading repricing from Mainframe to Hadoop to enable ZIP‑code level pricing. Adopt in stages: refine explore enrich—capture raw data, explore with SQL/BI tools, then push models into apps.
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chapters (11)
- 0:00Introduction
- 1:27Big Data defined
- 5:21Transactions interactions observations
- 15:43What is Hadoop and its role in Big Data
- 23:09Hadoop use cases
- 28:47Hadoop enterprise integration
- 31:56Big Data architecture
- 35:06Refining Big Data use cases
- 45:04Hortonworks and Microsoft
- 48:57Becoming data-driven
- 52:09Q&A
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