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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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Contributors

  • Bill Schmarzo, CTO, Dell EMC
  • James Moyne, Associate Research Scientist, University of Michigan
  • Anonymous contributors

Your Challenge

  • Organizations may understand the transformative potential of a big data initiative, but they struggle to make the transition from the awareness of its importance to identifying a concrete use case for a pilot project.
  • The big data ecosystem is crowded and confusing, and a lack of understanding of it may cause paralysis for organizations.

Our Advice

Critical Insight

  • Don’t panic, and make use of the resources you already have. The skills, tools, and infrastructure for big data can break any budget quickly, but before making rash decisions, start with the resources you have in-house.
  • Big data as a service (BDaaS) is making big waves. BDaaS removes many of the hurdles associated with implementing a big data strategy and vastly lowers the barrier of entry.

Impact and Result

  • Follow Info-Tech’s methodology for understanding the types of modern approaches to big data tools, and then determining which approach style makes the most sense for your organization.
  • Based on your big data use case, create a plan for getting started with big data tools that takes into account the backing of the use case, the organization’s priorities, and resourcing available.
  • Put a repeatable framework in place for creating a comprehensive big data tool environment that will help you decide on the necessary tools to help you realize the value from your big data use case and scale for the future.

Research & Tools

Start here – read the Executive Brief

Read our concise Executive Brief to find out why you should find your optimal approach to big data tools, review Info-Tech’s methodology, and understand the ways we can support you in completing this project.

1. Plant the foundations of your big data tool architecture

Identify your big data use case and your current data-related capabilities.

2. Weigh your big data architecture decision criteria

Determine your capacity for big data tools, as well as the level of customizability and security needed for your solution to help justify your implementation style decision.

3. Determine your approach to implementing big data tools

Analyze the three big data implementation styles, select your approach, and complete the execution plan for your big data initiative.

Guided Implementations

This guided implementation is a ten call advisory process.

Guided Implementation #1 - Plant the foundations of your big data tool architecture

Call #1 - Recap big data 101.
Call #2 - Understand why the organization is looking to leverage big data.
Call #3 - Review the big data tool architecture.
Call #4 - Determine the organization’s current ability to leverage big data and identify next steps for becoming more prepared.

Guided Implementation #2 - Weigh your big data architecture decision criteria

Call #1 - Understand what capabilities are needed to get the most out of big data.
Call #2 - Determine where you stand in terms of these capabilities.
Call #3 - Identify how realistic current big data initiatives are for the current situation of your big data architecture.

Guided Implementation #3 - Determine your approach to implementing big data tools

Call #1 - Review the current big data tool landscape, and how you can use the offerings out there for your organization.
Call #2 - Weigh the pros and cons of the various offerings.
Call #3 - Put a plan in place for communicating your approach to the organization.