The Worst Category Name Ever
•Download as PPTX, PDF•
4 likes•2,395 views
The document discusses potential names for "Big Data 2.0" and issues with the term "Big Data". It notes some proposed names like "WTF data" and "OMG data" but argues these confuse means and ends. The document outlines several scenarios for big data including NoSQL databases, Hadoop, real-time analytics, mobile applications, and cloud computing. It poses two questions: which enterprise scenarios are most valuable and how will vendors transition from point solutions to broad platforms.
The Worst Category Name Ever
- 1. The Worst Category Name Ever John R. Rymer, VP & Principal Analyst October 2012
- 2. What do we call Big Data 2.0? WTF data OMG data Humongous data Enormous data Big data Ron Tolido, CTO, Continental Europe, Capgemini © 2012 Forrester Research, Inc. Reproduction Prohibited
- 3. The overriding trend is to dynamic data and in-memory architectures © 2012 Forrester Research, Inc. Reproduction Prohibited
- 4. Name confuses ends with the means Predictive Sense & analysis respond Behavioral New insights OLTP Content Mobile ops scale New Big Risk queries Data © 2012 Forrester Research, Inc. Reproduction Prohibited
- 5. The many scenarios of Big Data NoSQL EDW Hadoop, SAP HANA … NoSQL ODS MongoDB, Cassandra, Redis … ECP Gigaspaces, IBM, Oracle, Software AG … M2M Kynetix, Sensor Logic … CEP Apama, IBM, Software AG, TIBCO … Cloud Amazon, Rackspace … © 2012 Forrester Research, Inc. Reproduction Prohibited
- 6. My 2 questions 1. Which are the most valuable enterprise scenarios? 2. How will vendors transition from point solutions to broad platforms? © 2012 Forrester Research, Inc. Reproduction Prohibited
- 7. Thank you John R. Rymer With: +1 650.581.3857 Mike Gualtieri jrymer@forrester.com Noel Yuhanna @johnrrymer Brian Hopkins Boris Evelson
Editor's Notes
- Share insights from Forrester – lot of analysts covering this topic. And have a little fun.
- The first problem with the category name is its future. What do we call 2.0?
- In all seriousness …Make the point that the past never goes away, and is often linked to the future.
- So-called big data solutions address a range of requirements – and they aren’t all the same.
- And the products associated with these requirements also vary widely. Prediction: we will soon start to focus on these distinct requirements and product categories rather than big data as a category. We must to be useful.
- NoSQL warehousesNoSQL operational storesElastic caching platformsComplex event processingMachine-to-machineElastic cloud platforms