THE LOGICAL VIEW architecture provides the building blocks for a Physical View architecture. At the same time, it ensures that an organization is designing with the end in mind. The Logical View architecture is essential to future-proofing the decisions that are made on the journey to a big-data architecture.

The Data era rose to prominence around 2008, with significant experimentation around 2012. The experimental phase, which continues to this day, was originally quite narrowly focused; one use case, or one technology. As we’ve moved through the experimental phase of technologies like Hadoop (the open source framework for processing, storing, analyzing large amounts of data) and the hype of the whole notion of big data, clients are taking a much more strategic approach to the topic. It’s less about trying out the flavor of the month (Cassandra, Mongo, etc.) and more about figuring out how to integrate many of these components into an existing environment in a company. After a few years of experimentation, a reality hits home in medium to large enterprises: They realize that they have to make this work given what they already have in place. It’s the classic balancing act between legacy and the future.

A key tenet in developing a strategy for the Data era requires an organization to take a page from Porsche's product strategy and acknowledge that one size does not fit all. There are many technologies, most have a unique ...

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