After decades, where the Enterprise Data Warehouse (EDW) has been the dominant solution for analytics needs, there is now a major change underway where a combination of Big Data and cloud technologies are accelerating adoption. Now we are seeing massive growth in Hadoop implementations, primarily in traditional companies who had for decades used only traditional EDW and analytics databases. Historically, EDW and other data stores were loaded periodically with partial data from transactional systems and contained modest data volumes covering limited history. Data had to be frequently archived to save space, to maintain acceptable performance and manage costs
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