Click here to close now.

Welcome!

Big Data Journal Authors: Elizabeth White, Lori MacVittie, Carmen Gonzalez, Ian Khan, Harry Trott

Related Topics: Cloud Expo

Cloud Expo: Blog Feed Post

Hot Trends in Cloud Data for 2013

What does the future hold for cloud data storage?

With the end of the year upon us, the time has come to boldly make ten cloud data predictions for 2013. As anyone who has attempted to forecast the future may attest, predictions that are substantive and hold true are often hard to come by.

To that end, I’ve tried to avoid enumerating the obvious — such as a drop in cloud storage pricing, more public cloud adoption, the possibility that a cloud outage may occur and other events that are pretty much a given for 2013. I’ve also steered clear of the moon shots — such as cloud storage standards gaining broad adoption, on-premise storage infrastructure disappearing entirely, an agreement by major vendors to put an end to “cloud-washing” and other ambitious predictions that are somewhat disconnected from reality.

So without further ado, below are my ten hot cloud data trends for 2013:

  1. Software-defined storage: The storage industry did not really need a new buzzword in 2012, but like it or not, this one will stick. Here’s why: Software-defined storage utilizes software on commodity servers to enable automation and economies of scale. Sound familiar? While the terminology is new, the concept is familiar to those who understand cloud. A recent article by Jerome Lecat provides a good perspective on the need for software-defined storage. The downside? Similar to its cloud storage forebear, we can expect this new buzzword to be abused as the new label “du jour” for many products that don’t quite fit the description.
  2. Data monetization using cloud: 2013 will highlight a key differentiator of cloud storage aside from providing cost and administrative advantages over traditional storage: the ability for organizations to use their data to grow their business. The concept of data monetization is mature and well-understood, but not always easily attainable. With on-demand cloud infrastructure, the logistics of harnessing data to improve business revenues become much simpler. Look for targeted solutions emerging in the coming year.
  3. Managed private clouds: I predict a splintering of the private cloud market into managed private clouds and DIY private clouds. Arguably, one of the most compelling benefits of public cloud storage is the outsourcing of management and maintenance. With many enterprises requiring cloud within their four walls, managed private clouds comply with that requirement while still offering the outsourcing advantage of public cloud. Downside? The cost of entry may be high for smaller enterprises or mid-size organizations.
  4. Turnkey DIY private clouds: For smaller enterprises looking at private cloud storage, wrestling with open source can be an unwieldy option. Companies such as Mirantis, SwiftStack and others have come to the rescue, launching OpenStack-based private clouds that attempt to reduce the burden of building, configuring and maintaining private clouds, offering turnkey utilities and management tools. Improved usability and management will be key to the uptake of DIY private clouds.
  5. Cloud-integrated storage: While it is mostly a matter of terminology, cloud-integrated storage will replace the cloud storage gateway for enabling hybrid storage configurations that span on-premise and in-cloud. In some sense, it is a maturation of the cloud storage gateway industry, recognizing that organizations creating hybrid cloud storage environments still require storage on-premise. Cloud-integrated storage satisfies the local storage need and offers near unlimited capacity in the cloud.
  6. SSD hybrid storage in the cloud: With multiple providers introducing SSD as a tier of storage in cloud compute environments, all-SSD configurations might prevail for high-performance application deployments. However, with more than an order of magnitude price disparity between SSD and rotating media, a hybrid configuration combining both may make more economic sense for optimizing price/performance for the majority of workloads. Expect hybrid SSD to fill a gap until there is true pricing parity between SSD and disk storage.
  7. Disaster recovery as a service in the public cloud (DRaaS): OK, I’ll admit this was a 2012 prediction, but technologies have advanced and the economics of DRaaS are just too attractive to ignore. Although zero down time business continuity is difficult to deliver, solutions using the cloud continue to inch closer to that standard. I predict disaster recovery in the cloud without dedicated infrastructure will finally hit the mainstream in 2013.
  8. Analytics as a service in the public cloud: Although similar to a 2012 prediction, I added “as a service” for 2013. The tools to move data into the cloud are available today. Similarly, the tools to run analytics in the public cloud are also here. What’s missing? Delivering both as an integrated service.
  9. Cloud brokerages: While not expected to hit the mainstream, some aspects of the cloud brokerage will appear in advanced data center operations that demand the choice of one or many cloud providers for specific solutions. Similarly, system integrators and consulting organizations have begun to assist advanced organizations in making cloud provider selections. With cloud-integrated storage supporting multiple simultaneous cloud providers, the foundation is available today for working with a choice of cloud providers based on price, performance, reliability and other attributes.
  10. Flattening of traditional storage infrastructure sales: Given the significant cloud storage adoption in 2012, I predict  a flattening of traditional storage sales by year end next year. With organizations continuing to store archive and unstructured data for compliance, retention and other uses, cloud storage will emerge as a compelling alternative and with predictions of the cloud storage market hitting upwards of $40B by 2018, it’s bound to impact on-premise storage.

So how do you think these predictions will fare in 2013? Is there anything missing? The answers are only 12 months away.

Read the original blog entry...

More Stories By Nicos Vekiarides

Nicos Vekiarides is the Chief Executive Officer & Co-Founder of TwinStrata. He has spent over 20 years in enterprise data storage, both as a business manager and as an entrepreneur and founder in startup companies.

Prior to TwinStrata, he served as VP of Product Strategy and Technology at Incipient, Inc., where he helped deliver the industry's first storage virtualization solution embedded in a switch. Prior to Incipient, he was General Manager of the storage virtualization business at Hewlett-Packard. Vekiarides came to HP with the acquisition of StorageApps where he was the founding VP of Engineering. At StorageApps, he built a team that brought to market the industry's first storage virtualization appliance. Prior to StorageApps, he spent a number of years in the data storage industry working at Sun Microsystems and Encore Computer. At Encore, he architected and delivered Encore Computer's SP data replication products that were a key factor in the acquisition of Encore's storage division by Sun Microsystems.

@BigDataExpo Stories
Roberto Medrano, Executive Vice President at SOA Software, had reached 30,000 page views on his home page - http://RobertoMedrano.SYS-CON.com/ - on the SYS-CON family of online magazines, which includes Cloud Computing Journal, Internet of Things Journal, Big Data Journal, and SOA World Magazine. He is a recognized executive in the information technology fields of SOA, internet security, governance, and compliance. He has extensive experience with both start-ups and large companies, having been ...
The industrial software market has treated data with the mentality of “collect everything now, worry about how to use it later.” We now find ourselves buried in data, with the pervasive connectivity of the (Industrial) Internet of Things only piling on more numbers. There’s too much data and not enough information. In his session at @ThingsExpo, Bob Gates, Global Marketing Director, GE’s Intelligent Platforms business, to discuss how realizing the power of IoT, software developers are now focu...
Operational Hadoop and the Lambda Architecture for Streaming Data Apache Hadoop is emerging as a distributed platform for handling large and fast incoming streams of data. Predictive maintenance, supply chain optimization, and Internet-of-Things analysis are examples where Hadoop provides the scalable storage, processing, and analytics platform to gain meaningful insights from granular data that is typically only valuable from a large-scale, aggregate view. One architecture useful for capturing...
SYS-CON Events announced today that Vitria Technology, Inc. will exhibit at SYS-CON’s @ThingsExpo, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. Vitria will showcase the company’s new IoT Analytics Platform through live demonstrations at booth #330. Vitria’s IoT Analytics Platform, fully integrated and powered by an operational intelligence engine, enables customers to rapidly build and operationalize advanced analytics to deliver timely business outcomes ...
Thanks to Docker, it becomes very easy to leverage containers to build, ship, and run any Linux application on any kind of infrastructure. Docker is particularly helpful for microservice architectures because their successful implementation relies on a fast, efficient deployment mechanism – which is precisely one of the features of Docker. Microservice architectures are therefore becoming more popular, and are increasingly seen as an interesting option even for smaller projects, instead of bein...
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @Things...
SYS-CON Events announced today that Open Data Centers (ODC), a carrier-neutral colocation provider, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place June 9-11, 2015, at the Javits Center in New York City, NY. Open Data Centers is a carrier-neutral data center operator in New Jersey and New York City offering alternative connectivity options for carriers, service providers and enterprise customers.
Even as cloud and managed services grow increasingly central to business strategy and performance, challenges remain. The biggest sticking point for companies seeking to capitalize on the cloud is data security. Keeping data safe is an issue in any computing environment, and it has been a focus since the earliest days of the cloud revolution. Understandably so: a lot can go wrong when you allow valuable information to live outside the firewall. Recent revelations about government snooping, along...
In his session at DevOps Summit, Tapabrata Pal, Director of Enterprise Architecture at Capital One, will tell a story about how Capital One has embraced Agile and DevOps Security practices across the Enterprise – driven by Enterprise Architecture; bringing in Development, Operations and Information Security organizations together. Capital Ones DevOpsSec practice is based upon three "pillars" – Shift-Left, Automate Everything, Dashboard Everything. Within about three years, from 100% waterfall, C...
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @Things...
Data-intensive companies that strive to gain insights from data using Big Data analytics tools can gain tremendous competitive advantage by deploying data-centric storage. Organizations generate large volumes of data, the vast majority of which is unstructured. As the volume and velocity of this unstructured data increases, the costs, risks and usability challenges associated with managing the unstructured data (regardless of file type, size or device) increases simultaneously, including end-to-...
The excitement around the possibilities enabled by Big Data is being tempered by the daunting task of feeding the analytics engines with high quality data on a continuous basis. As the once distinct fields of data integration and data management increasingly converge, cloud-based data solutions providers have emerged that can buffer your organization from the complexities of this continuous data cleansing and management so that you’re free to focus on the end goal: actionable insight.
When it comes to the Internet of Things, hooking up will get you only so far. If you want customers to commit, you need to go beyond simply connecting products. You need to use the devices themselves to transform how you engage with every customer and how you manage the entire product lifecycle. In his session at @ThingsExpo, Sean Lorenz, Technical Product Manager for Xively at LogMeIn, will show how “product relationship management” can help you leverage your connected devices and the data th...
With several hundred implementations of IoT-enabled solutions in the past 12 months alone, this session will focus on experience over the art of the possible. Many can only imagine the most advanced telematics platform ever deployed, supporting millions of customers, producing tens of thousands events or GBs per trip, and hundreds of TBs per month. With the ability to support a billion sensor events per second, over 30PB of warm data for analytics, and hundreds of PBs for an data analytics arc...
The Internet of Things (IoT) is causing data centers to become radically decentralized and atomized within a new paradigm known as “fog computing.” To support IoT applications, such as connected cars and smart grids, data centers' core functions will be decentralized out to the network's edges and endpoints (aka “fogs”). As this trend takes hold, Big Data analytics platforms will focus on high-volume log analysis (aka “logs”) and rely heavily on cognitive-computing algorithms (aka “cogs”) to mak...
Operational Hadoop and the Lambda Architecture for Streaming Data Apache Hadoop is emerging as a distributed platform for handling large and fast incoming streams of data. Predictive maintenance, supply chain optimization, and Internet-of-Things analysis are examples where Hadoop provides the scalable storage, processing, and analytics platform to gain meaningful insights from granular data that is typically only valuable from a large-scale, aggregate view. One architecture useful for capturing...
One of the biggest impacts of the Internet of Things is and will continue to be on data; specifically data volume, management and usage. Companies are scrambling to adapt to this new and unpredictable data reality with legacy infrastructure that cannot handle the speed and volume of data. In his session at @ThingsExpo, Don DeLoach, CEO and president of Infobright, will discuss how companies need to rethink their data infrastructure to participate in the IoT, including: Data storage: Understand...
Since 2008 and for the first time in history, more than half of humans live in urban areas, urging cities to become “smart.” Today, cities can leverage the wide availability of smartphones combined with new technologies such as Beacons or NFC to connect their urban furniture and environment to create citizen-first services that improve transportation, way-finding and information delivery. In her session at @ThingsExpo, Laetitia Gazel-Anthoine, CEO of Connecthings, will focus on successful use c...
The true value of the Internet of Things (IoT) lies not just in the data, but through the services that protect the data, perform the analysis and present findings in a usable way. With many IoT elements rooted in traditional IT components, Big Data and IoT isn’t just a play for enterprise. In fact, the IoT presents SMBs with the prospect of launching entirely new activities and exploring innovative areas. CompTIA research identifies several areas where IoT is expected to have the greatest impac...
Companies today struggle to manage the types and volume of data their customers and employees generate and use every day. With billions of requests daily, operational consistency can be elusive. In his session at Big Data Expo, Dave McCrory, CTO at Basho Technologies, will explore how a distributed systems solution, such as NoSQL, can give organizations the consistency and availability necessary to succeed with on-demand data, offering high availability at massive scale.