|By Bob Gourley||
|January 5, 2013 09:40 AM EST||
By Doug Laney
In the late 1990s, while a META Group analyst (Note: META is now part of Gartner), it was becoming evident that our clients increasingly were encumbered by their data assets. While many pundits were talking about, many clients were lamenting, and many vendors were seizing the opportunity of these fast-growing data stores, I also realized that something else was going on. Sea changes in the speed at which data was flowing mainly due to electronic commerce, along with the increasing breadth of data sources, structures and formats due to the post Y2K-ERP application boom were as or more challenging to data management teams than was the increasing quantity of data.
In an attempt to help our clients get a handle on how to recognize, and more importantly, deal with these challenges I began first speaking at industry conferences on this 3-dimensional data challenge of increasing data volume, velocity and variety. Then in late 2000 I drafted a research note published in February 2001 entitled 3-D Data Management: Controlling Data Volume, Velocity and Variety.
Fast forward to today: The “3V’s” framework for understanding and dealing with Big Data has now become ubiquitous. In fact, other research firms, major vendors and consulting firms have even posited the 3Vs (or an unmistakable variant) as their own concept. Since the original piece is no longer available in Gartner archives but is in increasing demand, I wanted to make it available here for anyone to reference and cite:
Original Research Note PDF: 3-D Data Management: Controlling Data Volume, Velocity and Variety
Date: 6 February 2001 Author: Doug Laney
3-D Data Management: Controlling Data Volume, Velocity and Variety. Current business conditions and mediums are pushing traditional data management principles to their limits, giving rise to novel and more formalized approaches.
META Trend: During 2001/02, leading enterprises will increasingly use a centralized data warehouse to define a common business vocabulary that improves internal and external collaboration. Through 2003/04, data quality and integration woes will be tempered by data profiling technologies (for generating metadata, consolidated schemas, and integration logic) and information logistics agents. By 2005/06, data, document, and knowledge management will coalesce, driven by schema-agnostic indexing strategies and portal maturity.
The effect of the e-commerce surge, a rise in merger & acquisition activity, increased collaboration, and the drive for harnessing information as a competitive catalyst is driving enterprises to higher levels of consciousness about how data is managed at its most basic level. In 2001-02, historical, integrated databases (e.g. data warehouses, operational data stores, data marts), will be leveraged not only for intended analytical purposes, but increasingly for intra-enterprise consistency and coordination. By 2003-04, these structures (including their associated metadata) will be on par with application portfolios, organization charts and procedure manuals for defining a business to its employees and affiliates.
Data records, data structures, and definitions commonly accepted throughout an enterprise reduce fiefdoms pulling against each other due to differences in the way each perceives where the enterprise has been, is presently, and is headed. Readily accessible current and historical records of transactions, affiliates (partners, employees, customers, suppliers), business processes (or rules), along with definitional and navigational metadata (see ADS Delta 896, 21st Century Metadata: Mapping the Enterprise Genome, 7 Aug 2000) enable employees to paddle in the same direction. Conversely, application-specific data stores (e.g. accounts receivable versus order status), geographic-specific data stores (e.g. North American sales vs. International sales), offer conflicting, or insular views of the enterprise, that while important for feeding transactional systems, provide no “single version of the truth,” giving rise to inconsistency in the way enterprise factions function.
While enterprises struggle to consolidate systems and collapse redundant databases to enable greater operational, analytical, and collaborative consistencies, changing economic conditions have made this job more difficult. E-commerce, in particular, has exploded data management challenges along three dimensions: volumes, velocity and variety. In 2001/02, IT organizations must compile a variety of approaches to have at their disposal for dealing with each.
E-commerce channels increase the depth and breadth of data available about a transaction (or any point of interaction). The lower cost of e-channels enables and enterprise to offer its goods or services to more individuals or trading partners, and up to 10x the quantity of data about an individual transaction may be collected—thereby increasing the overall volume of data to be managed. Furthermore, as enterprises come to see information as a tangible asset, they become reluctant to discard it.
Typically, increases in data volume are handled by purchasing additional online storage. However as data volume increases, the relative value of each data point decreases proportionately—resulting in a poor financial justification for merely incrementing online storage. Viable alternates and supplements to hanging new disk include:
- Implementing tiered storage systems (see SIS Delta 860, 19 Apr 2000) that cost effectively balance levels of data utility with data availability using a variety of media.
- Limiting data collected to that which will be leveraged by current or imminent business processes
- Limiting certain analytic structures to a percentage of statistically valid sample data.
- Profiling data sources to identify and subsequently eliminate redundancies
- Monitoring data usage to determine “cold spots” of unused data that can be eliminated or offloaded to tape (e.g. Ambeo, BEZ Systems, Teleran)
- Outsourcing data management altogether (e.g. EDS, IBM)
E-commerce has also increased point-of-interaction (POI) speed, and consequently the pace data used to support interactions and generated by interactions. As POI performance is increasingly perceived as a competitive differentiator (e.g. Web site response, inventory availability analysis, transaction execution, order tracking update, product/service delivery, etc.) so too is an organization’s ability to manage data velocity. Recognizing that data velocity management is much more than a physical bandwidth and protocol issue, enterprises are implementing architectural solutions such as:
- Operational data stores (ODSs) that periodically extract, integrate and re-organize production data for operational inquiry or tactical analysis
- Caches that provide instant access to transaction data while buffering back-end systems from additional load and performance degradation. (Unlike ODSs, caches are updated according to adaptive business rules and have schemas that mimic the back-end source.)
- Point-to-point (P2P) data routing between databases and applications (e.g. D2K, DataMirror) that circumvents high-latency hub-and-spoke models that are more appropriate for strategic analysis
- Designing architectures that balance data latency with application data requirements and decision cycles, without assuming the entire information supply chain must be near real-time.
Through 2003/04, no greater barrier to effective data management will exist than the variety of incompatible data formats, non-aligned data structures, and inconsistent data semantics. By this time, interchange and translation mechanisms will be built into most DBMSs. But until then, application portfolio sprawl (particularly when based on a “strategy” of autonomous software implementations due to e-commerce solution immaturity), increased partnerships, and M&A activity intensifies data variety challenges. Attempts to resolve data variety issues must be approached as an ongoing endeavor encompassing the following techniques:
- Data profiling (e.g. Data Mentors, Metagenix) to discover hidden relationships and resolve inconsistencies across multiple data sources (see ADS898)
- XML-based data format “universal translators” that import data into standard XML documents for export into another data format (e.g. infoShark, XML Solutions)
- Enterprise application integration (EAI) predefined adapters (e.g. NEON, Tibco, Mercator) for acquiring and delivering data between known applications via message queues, or EAI development kits for building custom adapters.
- Data access middleware (e.g. Information Builders’ EDA/SQL, SAS Access, OLE DB, ODBC) for direct connectivity between applications and databases
- Distributed query management (DQM) software (e.g. Enth, InfoRay, Metagon) that adds a data routing and integration intelligence layer above “dumb” data access middleware
- Metadata management solutions (i.e. repositories and schema standards) to capture and make available definitional metadata that can help provide contextual consistency to enterprise data
- Advanced indexing techniques for relating (if not physically integrating) data of various incompatible types (e.g. multimedia, documents, structured data, business rules).
As with any sufficiently fashionable technology, users should expect the data management market place ebb-and-flow to yield solutions that consolidate multiple techniques and solutions that are increasingly application/environment specific. (See Figure 1 – Data Management Solutions) In selecting a technique or technology, enterprises should first perform an information audit assessing the status of their information supply chain to identify and prioritize particular data management issues.
Business Impact: Attention to data management, particularly in a climate of e-commerce and greater need for collaboration, can enable enterprises to achieve greater returns on their information assets.
Bottom Line: In 2001/02, IT organizations must look beyond traditional direct brute force physical approaches to data management. Through 2003/04, practices for resolving e-commerce accelerated data volume, velocity and variety issues will become more formalized and diverse. Increasingly, these techniques involve trade-offs and architectural solutions that involve and impact application portfolios and business strategy decisions.
Over the past decade, Gartner analysts including Regina Casonato, Anne Lapkin, Mark A. Beyer, Yvonne Genovese and Ted Friedman have continued to expand our research on this topic, identifying and refining other “big data” concepts. In September 2011 they published the tremendous research note Information Management in the 21st Century. And in 2012, Mark Beyer and I developed and published Gartner’s updated definition of Big Data to reflect its value proposition and requirements for “new innovative forms of processing.” (See The Importance of ‘Big Data’: A Definition)
Doug Laney is a research vice president for Gartner Research, where he covers business analytics solutions and projects, information management, and data-governance-related issues. He is considered a pioneer in the field of data warehousing and created the first commercial project methodology for business intelligence/data warehouse projects. Mr. Laney is also originated the discipline of information economics (infonomics).
Follow Doug on Twitter: @Doug_Laney
General Electric (GE) has been a household name for more than a century, thanks in large part to its role in making households easier to run. Starting with the light bulb invented by its founder, Thomas Edison, GE has been selling devices (“things”) to consumers throughout its 122-year history. Last week, GE announced that it is officially leaving that job to others. While the lighting division will stay, GE will now turn its attention to selling industrial machinery and analytics as a service t...
Oct. 24, 2014 04:00 PM EDT Reads: 2,715
How do you know when a technology has become mainstream? A good clue may be when politicians start talking about it on the campaign trail and with mainstream media. David Cameron, the UK prime minister, was the latest, indicating that the world was now on “fast-forward” with the Internet of Things (IoT) ushering in the new industrial revolution. No mention of IoT targeted at the masses would be complete without the clichéd example of the communicating fridge. While it is easy to get caught up in...
Oct. 24, 2014 04:00 PM EDT Reads: 5,624
Machine-to-machine (M2M) technology and the resulting Internet of Things are leading us inexorably toward everything-as-a-service (XaaS). As more things get connected, the range of service opportunities expands. And as those services are presented online, they become available for use, re-use and re-purposing. At first thought, the idea of more connected devices suggests simply that there will be more devices around, and as such, more products for manufacturers to make and sell. That’s true, bu...
Oct. 24, 2014 08:15 AM EDT Reads: 6,602
Samsung VP Jacopo Lenzi, who headed the company's recent SmartThings acquisition under the auspices of Samsung's Open Innovaction Center (OIC), answered a few questions we had about the deal. This interview was in conjunction with our interview with SmartThings CEO Alex Hawkinson. IoT Journal: SmartThings was developed in an open, standards-agnostic platform, and will now be part of Samsung's Open Innovation Center. Can you elaborate on your commitment to keep the platform open? Jacopo Lenzi: S...
Oct. 23, 2014 11:45 PM EDT Reads: 2,500
Samsung promises to be one of the 800-pound gorillas of the IoT, if its success in recent years with Android devices and other consumer electronics is any guide. Showing its willingness to be a big IoT player, the company recently acquired SmartThings, a recent startup that's developed an open smarthome appliation that currently supports 1,000 devices and 8,000 apps. SmartThings will now work under the auspices of Samsung's Open Innovation Center (OIC). SmartThings Founder and CEO Alex Hawkinson...
Oct. 23, 2014 06:00 PM EDT Reads: 2,907
Almost everyone sees the potential of Internet of Things but how can businesses truly unlock that potential. The key will be in the ability to discover business insight in the midst of an ocean of Big Data generated from billions of embedded devices via Systems of Discover. Businesses will also need to ensure that they can sustain that insight by leveraging the cloud for global reach, scale and elasticity.
Oct. 22, 2014 09:00 PM EDT Reads: 1,393
SAP is delivering break-through innovation combined with fantastic user experience powered by the market-leading in-memory technology, SAP HANA. In his General Session at 15th Cloud Expo, Thorsten Leiduck, VP ISVs & Digital Commerce, SAP, will discuss how SAP and partners provide cloud and hybrid cloud solutions as well as real-time Big Data offerings that help companies of all sizes and industries run better. SAP launched an application challenge to award the most innovative SAP HANA and SAP ...
Oct. 22, 2014 07:00 AM EDT Reads: 1,644
In her General Session at 15th Cloud Expo, Anne Plese, Senior Consultant, Cloud Product Marketing, at Verizon Enterprise, will focus on finding the right mix of renting vs. buying Oracle capacity to scale to meet business demands, and offer validated Oracle database TCO models for Oracle development and testing environments. Anne Plese is a marketing and technology enthusiast/realist with over 19+ years in high tech. At Verizon Enterprise, she focuses on driving growth for the Verizon Cloud pla...
Oct. 21, 2014 07:30 PM EDT Reads: 1,523
The Internet of Things (IoT) is going to require a new way of thinking and of developing software for speed, security and innovation. This requires IT leaders to balance business as usual while anticipating for the next market and technology trends. Cloud provides the right IT asset portfolio to help today’s IT leaders manage the old and prepare for the new. Today the cloud conversation is evolving from private and public to hybrid. This session will provide use cases and insights to reinforce t...
Oct. 21, 2014 05:15 PM EDT Reads: 1,565
As Platform as a Service (PaaS) matures as a category, developers should have the ability to use the programming language of their choice to build applications and have access to a wide array of services. Bluemix is IBM's open cloud development platform that enables users to easily build cloud-based, creative mobile and web applications without having to spend large amounts of time and resources on configuring infrastructure and multiple software licenses. In this track, you will learn about the...
Oct. 21, 2014 05:00 PM EDT Reads: 1,533
SYS-CON Events announced today that Verizon has been named "Gold Sponsor" of SYS-CON's 15th International Cloud Expo®, which will take place on November 4-6, 2014, at the Santa Clara Convention Center in Santa Clara, CA. Verizon Enterprise Solutions creates global connections that generate growth, drive business innovation and move society forward. With industry-specific solutions and a full range of global wholesale offerings provided over the company's secure mobility, cloud, strategic network...
Oct. 21, 2014 09:30 AM EDT Reads: 1,651
SimpleECM is the only platform to offer a powerful combination of enterprise content management (ECM) services, capture solutions, and third-party business services providing simplified integrations and workflow development for solution providers. SimpleECM is opening the market to businesses of all sizes by reinventing the delivery of ECM services. Our APIs make the development of ECM services simple with the use of familiar technologies for a frictionless integration directly into web applicat...
Oct. 20, 2014 10:00 PM EDT Reads: 1,756
The only place to be June 9-11 is Cloud Expo & @ThingsExpo 2015 East at the Javits Center in New York City. Join us there as delegates from all over the world come to listen to and engage with speakers & sponsors from the leading Cloud Computing, IoT & Big Data companies. Cloud Expo & @ThingsExpo are the leading events covering the booming market of Cloud Computing, IoT & Big Data for the enterprise. Speakers from all over the world will be hand-picked for their ability to explore the economic...
Oct. 20, 2014 07:00 PM EDT Reads: 2,106
Cloudwick, the leading big data DevOps service and solution provider to the Fortune 1000, announced Big Loop, its multi-vendor operations platform. Cloudwick Big Loop creates greater collaboration between Fortune 1000 IT staff, developers and their database management systems as well as big data vendors. This allows customers to comprehensively manage and oversee their entire infrastructure, which leads to more successful production cluster operations, and scale-out. Cloudwick Big Loop supports ...
Oct. 20, 2014 05:45 PM EDT Reads: 1,743
Software AG helps organizations transform into Digital Enterprises, so they can differentiate from competitors and better engage customers, partners and employees. Using the Software AG Suite, companies can close the gap between business and IT to create digital systems of differentiation that drive front-line agility. We offer four on-ramps to the Digital Enterprise: alignment through collaborative process analysis; transformation through portfolio management; agility through process automation...
Oct. 20, 2014 03:45 PM EDT Reads: 1,788
Headquartered in Santa Monica, California, Bitium was founded by Kriz and Erik Gustavson. The 1,500 cloud-based application using Bitium’s analytics, app management, and single sign-on services include bug trackers, customer service dashboards, Google Apps, and social networks. The firm states website administrators can do multiple tasks online without revealing passwords. Bitium’s advisors include Microsoft’s former CMO and the former senior vice president of strategy, the founder and CEO of Li...
Oct. 20, 2014 03:00 PM EDT Reads: 1,830
Things are being built upon cloud foundations to transform organizations. This CEO Power Panel at 15th Cloud Expo, moderated by Roger Strukhoff, Cloud Expo and @ThingsExpo conference chair, will address the big issues involving these technologies and, more important, the results they will achieve. How important are public, private, and hybrid cloud to the enterprise? How does one define Big Data? And how is the IoT tying all this together?
Oct. 20, 2014 12:00 PM EDT Reads: 1,727
The 3rd International Internet of @ThingsExpo, co-located with the 16th International Cloud Expo - to be held June 9-11, 2015, at the Javits Center in New York City, NY - announces that its Call for Papers is now open. The Internet of Things (IoT) is the biggest idea since the creation of the Worldwide Web more than 20 years ago.
Oct. 19, 2014 10:45 PM EDT Reads: 2,048
The Industrial Internet revolution is now underway, enabled by connected machines and billions of devices that communicate and collaborate. The massive amounts of Big Data requiring real-time analysis is flooding legacy IT systems and giving way to cloud environments that can handle the unpredictable workloads. Yet many barriers remain until we can fully realize the opportunities and benefits from the convergence of machines and devices with Big Data and the cloud, including interoperability, da...
Oct. 19, 2014 10:00 PM EDT Reads: 1,635
All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. Over the summer Gartner released its much anticipated annual Hype Cycle report and the big news is that Internet of Things has now replaced Big Data as the most hyped technology. Indeed, we're hearing more and more about this fascinating new technological paradigm. ...
Oct. 19, 2014 09:00 PM EDT Reads: 1,948