Architect Your Big Data Environment
Make big data real by finding the right approach in the big world of big data.
- 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.
About Info-Tech
Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.
We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.
What Is a Blueprint?
A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.
Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.
Need Extra Help?
Speak With An Analyst
Get the help you need in this 3-phase advisory process. You'll receive 10 touchpoints with our researchers, all included in your membership.
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.
Contributors
- Bill Schmarzo, CTO, Dell EMC
- James Moyne, Associate Research Scientist, University of Michigan
- Anonymous contributors
Build a Data Warehouse
Leverage Big Data by Starting Small
Build an Extensible Data Warehouse Foundation
Architect Your Big Data Environment
Beyond Survival
Prepare for AI Regulation