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. This podcast examines the challenge of dealing with the integration of big data, and the unique issues raised by it that impact on extract, transform, load (ETL) functions, including:

• Types of big data


• The emergence of multiple analytical platforms


• Challenges imposed by large data volumes across the big data analytical ecosystem