Welcome!

Cloud Expo Authors: Roger Strukhoff, Elizabeth White, Pat Romanski, Liz McMillan, Jason Bloomberg

Related Topics: Big Data Journal, Java, SOA & WOA, Virtualization, Web 2.0, Cloud Expo, Apache

Big Data Journal: Article

Examining the True Cost of Big Data

As you start on your Big Data journey or project, be sure to ask what exactly the business requires

The good news about the Big Data market is that we generally all agree on the definition of Big Data, which has come to be known as data that has volume, velocity and variety where businesses need to collect, store, manage and analyze in order to derive business value or otherwise known as the "4 V's." However, the problem with such a broad definition is that it can mean different things to different people once you start to put some real values next to those V's.

Let's be honest, Volume can be a different thing to different organizations. To some it is anything above 10 terabytes of managed data in their BI environment and to others it is petabyte scale and nothing less. Likewise velocity can be multi-billions of daily records coming into the enterprise from various external and internal networks. When it really comes down to it, each business situation will be quite different not only from a size and speed perspective but also more important from the business use-case or requirement. A large bank's Big Data problem could be very different to that of an online retailer or an airline. If you compare what say a hospital is trying to do collecting and analyzing all the sensor patient data compared to a utilities provider running a smart-grid or a telecommunications operator. True, all could be categorized as machine generated or raw data but the exact type of data might be different not to mention the volume or growth rate. Probably the one unique common denominator across all aforementioned industries is that everyone is keeping the data for longer time-periods. No one is throwing it away - not even the detailed data.

The Many Cost Factors to Consider
Costs will of course vary depending on the individual allocated IT budget but regardless, how the company allocates IT budget dollars to new Big Data initiatives needs consideration. Let's face it, enterprise buyers didn't suddenly come into a bunch of newfound IT assets or line items on their budget and the current world economic situation would certainly not suggest so. More likely existing budgets are being re-allocated and instead of spending more on say existing traditional data warehouses or appliances, monies are being allocated to new projects running on open source projects including Apache Hadoop which promises both low cost, ease of scale not to mention the obvious best approach to managing and analyzing multi-structured data sets. The difficultly then arises how do you integrate or have your Hadoop environment co-exist with the established BI or DW environment that the business has grown to love and rely upon?

Leverage What You Already Have
Let's assume you have a data warehouse or data mart in place today and you already use various ETL or data movement tools and BI dashboard, analytics or reporting tools and you don't want to disrupt business users which could not only impacting performance levels but also training up on a new set of tools. In fact you already likely beholden to strict SLA's around response times for the various business reports and KPI's. However, at the same time the business is demanding access to new data sets in order to glean better insights either directly analyzing this data or co-mingling it with existing customer data. This could take the form of web-logs, click stream data or social media data from various interactive sites the business is now leveraging and tracking. The promise of impacting profit margins and gaining a competitive edge just cannot be avoided.

As we all know, traditional relational or columnar databases can't handle the unstructured data types so IT needs to rollout a different solution to satisfy the business demands. Evaluations can take many forms but typically will start with which Hadoop distribution, which NoSQL or NewSQL database and what query access tools in addition to MapReduce. It is certainly no easy task as there are a large number of technology solutions on the market today that claim to run on or with Hadoop providing MapReduce or SQL-like capabilities which all satisfy the requirement of managing volumes of unstructured data. Some are more mature than others; some proven and not all are low-cost. Open source on the surface looks very low cost but as soon as you require any level of support, which lets face it once it's live and relied upon as a business critical environment, you will need to allocate a line item on your budget. The Big Data line item won't just be one line as it will need to include all components required to properly rollout a Big Data solution to truly satisfy the business demands. Just like any other IT environment the obvious pieces will include: Software licensing and support, hardware, skilled dedicated resources, professional services and training and the dedicated time of business users to provide input on key requirements including specifying types of reports, queries and analysis which will naturally change and evolve over time.

Big Data Costs Can Quickly Creep Up
In terms of the hardware expenditure required to manage the new Big Data set, you may start out with a Hadoop cluster of say 10 nodes and yes that is certainly manageable but if your data velocity is significant, you can quickly reach 100+ nodes and now you will face a number of other expenses including additional headcount and skilled resources to manage the environment proactively in addition to tools for managing the cluster including system management and alerting and potentially add-on software which can vary by business use-case but might cover real-time analytics against streaming data for say fraud detection or detection of unusual patterns. You may also need a business tool to provide a front-end GUI dashboard to track specific KPIs or data visualization tools so business users can quickly understand what is going on. Very quickly the costs become less about the storage and hardware and more around the software that focuses on getting the most value from this newly collected data set.

There is no denying the fact that Big Data presents great new opportunities but reaching the point of a quantifiable ROI in a fast time frame is still a very real challenge. Everyone is talking about Big Data and all the innovative technology approaches to tackling it but it is still difficult to find lots of business success stories within any one-industry sector. It's still fairly immature but the good news is that its moving at a much faster pace than any other IT project today and certainly our data warehouse and BI forefathers have provided lessons learned over the past two decades.

Big Data Is Big Business but It Comes with Strict Requirements
If we want to examine more closely the main areas of expenditure for a Big Data project, it is probably best to look at it through the lens of a specific type of business and use-case. Let's take a large financial institution that has a number of existing traditional data warehouse / BI environments but because the business doesn't want to throw any data away (well let's face it regulations don't allow that for a number of years) and realistically the business wants to retain specific data sets for ongoing trending and analysis. This includes examining questions such as "what constitutes a low-risk client based on spending behavior patterns over a specific time period cross-referenced with customer demographics" which will help the institution better target a particular segment of the market.

Given the IT budget doesn't allow for increased spend that correlates with data growth rates, they need to seriously reduce costs and so decide to go the route of a Hadoop-based environment given its promise for low-cost scale and the fact that it can provide insights into customer patterns by capturing semi- and unstructured data. Front-ending the warehouse with a dedicated Hadoop cluster is the preferred architectural approach but the business users still want access to both the Hadoop environment and the existing traditional data warehouse environment.

Given we are talking about a financial institution, the question of security and availability quickly come to the top of the requirements list. At the same time, if business users want to access that data, SQL query access and using the current BI tool against that new set of data is also a requirement. If you can avoid having to the move large chunks of data on a frequent basis from one to the other, it will not only reduce costs but also latency. In an ideal world, being able to leverage the skill sets you already have and avoiding duplication of work is key.

Below is a quick table outlining the main cost factors to be considered and a set of comments against each of these areas that could reduce costs.

 

Big Data on Hadoop Cost Factors

Key Consideration to drive down cost

 

Storage

Look at databases that provide data compression to yield storage savings (better than GZip or LZO).

 

Hardware (Nodes)

Granular data compression at database level will reduce nodes over time.

 

Data Analytics - Skilled Resources

Examine technology solutions that provide standard SQL or BI tool access in addition to MapReduce (Pig etc.)

 

Cluster management - Skilled Resources

Leverage existing Dev-operations staff if you deploy a SQL-compliant data environment

 

Security

Look for database solutions that provide built-in security permissions and access.

 

Availability / DR

Consider a data management environment that doesn't require additional tools for replication.

 

Training

Consider solutions where you don't need to retrain or hire all new resources. Leverage what you have (standard SQL-skilled DBAs)

Summary: Consider All Factors and Get Business Buy-in Quickly
Big Data is fundamentally a business problem. If you begin with the question of "what is the business trying to achieve by collecting, storing and analyzing this new set of data...", you will start down the right path to realizing business gains. Whether you outsource the initiative or bring in external consultants and vendors to manage the project, the same questions will arise and in order to leverage what you already have which includes both existing IT environments and skills, you will be better able to contain costs.

Furthermore, we all love the promise of new innovative technologies including Hadoop and MapReduce but without leveraging tried and tested standards we have come to love and respect, it doesn't make a whole lot of sense from both a technical or economic sense. As you start on your Big Data journey or project, be sure to ask what exactly the business requires and how can you leverage what you already have today. We all know, getting business user buy-in and success is half the battle to a successful rollout.

More Stories By John Bantleman

John Bantleman, CEO of RainStor, has more than 20 years’ experience in the management of software companies. Prior to overseeing RainStor, he transformed LBMS into a $45 million business prior to its successful NASDAQ flotation in 1997. Today’s LBMS’ technology is now part of CA’s product portfolio. The following year John was instrumental in the launch of Evolve, and drove the company through to a successful IPO on NASDAQ.

Returning to the UK in 2003, John spent 12 months working on the advisory boards of venture capital organizations such as Apax Partners. He joined RainStor Inc. as Chairman in 2004 and became CEO at the start of 2007 and relocated back to the US to head-up worldwide operations in 2009.

Comments (3) View Comments

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


Most Recent Comments
Vikas.Deolaliker 09/21/12 06:49:00 PM EDT

Great article. Another data point, the IT budget is up only 4% in 2013 over 2012, so don't expect everyone to rush into Bigdata.

The fourth "V" is visualization. If you cannot render the analysis in a intuitive way, there is no value in that analysis. In fact, visualization should be the first step in design of a bigdata system - it helps trim down the architectural bloat into something that is within budget and useful.

Elad Israeli 09/19/12 06:07:00 PM EDT

Fascinating post. Still waiting for someone to crack the nut that is Big Data Analytics.

douglaney 08/29/12 03:36:00 PM EDT

Great piece John. Excellent detail. Thought you and your readers might be interested in where the "3Vs" of big data originated--in a Gartner piece I authored over 11 years ago. I recently unearthed a copy so folks to refer to and cite it.

Cheers,
Doug Laney, VP Research, Gartner, @doug_laney

Cloud Expo Latest Stories
The emergence of cloud computing and Big Data warrants a greater role for the PMO to successfully manage enterprise transformation driven by these powerful trends. As the adoption of cloud-based services continues to grow, a governance model is needed to orchestrate enterprise cloud implementations and harness the power of Big Data analytics. In his session at 15th Cloud Expo, Mahesh Singh, President of BigData, Inc., to discuss how the Enterprise PMO takes center stage not only in developing the appropriate governance model but also in collaborating with key stakeholders to ensure a successful transformation.
SYS-CON Events announced today that TechXtend (formerly Programmer’s Paradise), a leading value-added provider of server and storage virtualization, and r-evolution will exhibit at 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. TechXtend (formerly Programmer’s Paradise) is a leading value-added provider of software, systems and solutions for corporations, government organizations, and academic institutions across the United States and Canada. TechXtend is the Exclusive Reseller in the United States for r-evolution
The consumption economy is here and so are cloud applications and solutions that offer more than subscription and flat fee models and at the same time are available on a pure consumption model, which not only reduces IT spend but also lowers infrastructure costs, and offers ease of use and availability. In their session at 15th Cloud Expo, Ermanno Bonifazi, CEO & Founder of Solgenia, and Ian Khan, Global Strategic Positioning & Brand Manager at Solgenia, will discuss this shifting dynamic with an example of a top European Telco provider. Find out how they are leveraging the power of acloud-based consumption model services to offer more value to the mass market and enable a new revenue model that embraces the true meaning of the Third Industrial Revolution.
Every healthy ecosystem is diverse. This is especially true in cloud ecosystems, where portability and interoperability are more important than old enterprise models of proprietary ownership. In his session at 15th Cloud Expo, Mark Baker, Server Product Manager at Canonical/Ubuntu, will discuss how single vendors used to take the lead in creating and delivering technology, but in a cloud economy, where users want tools of their preference, when and where they need them, it makes no sense.
SYS-CON Events announced today that Cloudian, Inc., the leading provider of hybrid cloud storage solutions, has been named “Bronze 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. Cloudian is a Foster City, Calif.-based software company specializing in cloud storage. Cloudian HyperStore® is an S3-compatible cloud object storage platform that enables service providers and enterprises to build reliable, affordable and scalable hybrid cloud storage solutions. Cloudian actively partners with leading cloud computing environments including Amazon Web Services, Citrix Cloud Platform, Apache CloudStack, OpenStack and the vast ecosystem of S3 compatible tools and applications. Cloudian's customers include Vodafone, Nextel, NTT, Nifty, and LunaCloud. The company has additional offices in China and Japan.
In today's application economy, enterprise organizations realize that it's their applications that are the heart and soul of their business. If their application users have a bad experience, their revenue and reputation are at stake. In his session at 15th Cloud Expo, Anand Akela, Senior Director of Product Marketing for Application Performance Management at CA Technologies, will discuss how a user-centric Application Performance Management solution can help inspire your users with every application transaction.
Come learn about what you need to consider when moving your data to the cloud. In her session at 15th Cloud Expo, Skyla Loomis, a Program Director of Cloudant Development at Cloudant, will discuss the security, performance, and operational implications of keeping your data on premise, moving it to the cloud, or taking a hybrid approach. She will use real customer examples to illustrate the tradeoffs, key decision points, and how to be successful with a cloud or hybrid cloud solution.
Cloud computing started a technology revolution; now DevOps is driving that revolution forward. By enabling new approaches to service delivery, cloud and DevOps together are delivering even greater speed, agility, and efficiency. No wonder leading innovators are adopting DevOps and cloud together! In his session at DevOps Summit, Andi Mann, Vice President of Strategic Solutions at CA Technologies, will explore the synergies in these two approaches, with practical tips, techniques, research data, war stories, case studies, and recommendations.
The 16th International Cloud Expo announces that its Call for Papers is now open. 16th International Cloud Expo, to be held June 9–11, 2015, at the Javits Center in New York City brings together Cloud Computing, APM, APIs, Security, Big Data, Internet of Things, DevOps and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding business opportunity. Submit your speaking proposal today!
14th International Cloud Expo, held on June 10–12, 2014 at the Javits Center in New York City, featured three content-packed days with a rich array of sessions about the business and technical value of cloud computing, Internet of Things, Big Data, and DevOps led by exceptional speakers from every sector of the IT ecosystem. The Cloud Expo series is the fastest-growing Enterprise IT event in the past 10 years, devoted to every aspect of delivering massively scalable enterprise IT as a service.
Hardware will never be more valuable than on the day it hits your loading dock. Each day new servers are not deployed to production the business is losing money. While Moore’s Law is typically cited to explain the exponential density growth of chips, a critical consequence of this is rapid depreciation of servers. The hardware for clustered systems (e.g., Hadoop, OpenStack) tends to be significant capital expenses. In his session at 15th Cloud Expo, Mason Katz, CTO and co-founder of StackIQ, to discuss how infrastructure teams should be aware of the capitalization and depreciation model of these expenses to fully understand when and where automation is critical.
Over the last few years the healthcare ecosystem has revolved around innovations in Electronic Health Record (HER) based systems. This evolution has helped us achieve much desired interoperability. Now the focus is shifting to other equally important aspects – scalability and performance. While applying cloud computing environments to the EHR systems, a special consideration needs to be given to the cloud enablement of Veterans Health Information Systems and Technology Architecture (VistA), i.e., the largest single medical system in the United States.
In his session at 15th Cloud Expo, Mark Hinkle, Senior Director, Open Source Solutions at Citrix Systems Inc., will provide overview of the open source software that can be used to deploy and manage a cloud computing environment. He will include information on storage, networking(e.g., OpenDaylight) and compute virtualization (Xen, KVM, LXC) and the orchestration(Apache CloudStack, OpenStack) of the three to build their own cloud services. Speaker Bio: Mark Hinkle is the Senior Director, Open Source Solutions, at Citrix Systems Inc. He joined Citrix as a result of their July 2011 acquisition of Cloud.com where he was their Vice President of Community. He is currently responsible for Citrix open source efforts around the open source cloud computing platform, Apache CloudStack and the Xen Hypervisor. Previously he was the VP of Community at Zenoss Inc., a producer of the open source application, server, and network management software, where he grew the Zenoss Core project to over 10...
Most of today’s hardware manufacturers are building servers with at least one SATA Port, but not every systems engineer utilizes them. This is considered a loss in the game of maximizing potential storage space in a fixed unit. The SATADOM Series was created by Innodisk as a high-performance, small form factor boot drive with low power consumption to be plugged into the unused SATA port on your server board as an alternative to hard drive or USB boot-up. Built for 1U systems, this powerful device is smaller than a one dollar coin, and frees up otherwise dead space on your motherboard. To meet the requirements of tomorrow’s cloud hardware, Innodisk invested internal R&D resources to develop our SATA III series of products. The SATA III SATADOM boasts 500/180MBs R/W Speeds respectively, or double R/W Speed of SATA II products.
As more applications and services move "to the cloud" (public or on-premise) cloud environments are increasingly adopting and building out traditional enterprise features. This in turn is enabling and encouraging cloud adoption from enterprise users. In many ways the definition is blurring as features like continuous operation, geo-distribution or on-demand capacity become the norm. NuoDB is involved in both building enterprise software and using enterprise cloud capabilities. In his session at 15th Cloud Expo, Seth Proctor, CTO at NuoDB, Inc., will discuss the experiences from building, deploying and using enterprise services and suggest some ways to approach moving enterprise applications into a cloud model.