Architect Your Big Data Environment – Phases 1-3

Author(s): Brian King, Nicholas Lorenzi, Steven Wilson


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In the modern world, everything is bigger, faster, or more complex. With big data, you are dealing with all of those challenges at once. This is why you need the right tools for the job. Like a carpenter without a hammer, a data scientist or data engineer without a comprehensive set of big data tools will be unable to build actionable insights from the raw data materials. With the rapidly changing world of big data solutions, it's hard to know the right tools for the job and how to structure them in your environment. Read this blueprint to obtain a repeatable framework for the perfect approach to obtaining your big data tools in spite of the ever-changing landscape:

  1. Plant the Foundations of Your Big Data Tool Architecture
  2. Weigh Your Big Data Architecture Decision Criteria
  3. Determine Your Approach To Implementing Big Data Tools

This blueprint will help you create and implement a plan for getting the right tools for your big data use case.

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Architect Your Big Data Environment

Make big data real by finding the right approach in the big world of big data.

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