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With the term “Big Data” now commonplace, there’s no mistaking that today’s volume, variety and velocity of data challenges organizations that follow splintered approaches to data connection, ingestion, processing and analysis. Too many IT departments are still falling short of transcending legacy approaches that limit the value they derive from data. Typically, those organizations find themselves caught in differentiating data treatment by type — particularly between batch and streaming data — and consequently supporting disparate IT infrastructures. That seriously misaligns those organizations with contemporary data realities, and it short-circuits opportunity.