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Presentation Transcript: Top 5 Big Data Integration Requirements
Today, the term “Big Data” dominates the headlines, and talk of the “Three V’s” (volume, velocity and variety) is ubiquitous. Meanwhile, the vast majority of organizations still struggle to integrate and transform terabytes, if not gigabytes, of data. The era of Big Data will only exacerbate this problem. Organizations need technology specifically designed to address these requirements, delivering tangible operational, financial and business benefits. This transcript looks at the key requirements to step up to the Big Data Challenge, including:
- Connectivity and data management across Big Data analytical data stores and traditional data warehouses
- Optimising ETL processing to manage volumes and different types of ETL jobs
- Embedding analytics in ETL processing
AuthorMike Ferguson Managing Director, Intelligent Business Strategies
Mike Ferguson is Managing Director of Intelligent Business Strategies Limited. As an independent analyst and consultant he specialises in business intelligence, data management and enterprise business integration. With over 30 years of IT experience, Mike has consulted for dozens of companies, spoken at events all over the world, and written numerous articles. Mike is also a resident expert on the B-EYE-Network, providing articles, blogs and his insights on the industry.