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Accelerating Storage ROI with Storage Resource Management

Posted by Kevin Gray | Author Info

Nov 3, 2014 9:00:00 AM

Enterprise IT organizations are increasingly being called upon to help their companies drive revenue growth by processing and managing new data sources that increase business intelligence and enhance customer engagement. As a result, many of these organizations are experiencing data growth rates in excess of 20% to 60% per year. In addition, in order to improve efficiency, organizations are adopting virtualization and software-defined architectures that increase business agility and flexibility. By abstracting the hardware infrastructure, virtualization technology may obscure the relationships between application services and the underlying physical resources they consume. These new abstraction layers may make it difficult to optimize resources to meet service levels while controlling escalating storage costs.

While storage resource management (SRM) solutions have been around for over a decade, many enterprises are increasingly depending on SRM to gain insight into where and how capacity is being consumed. Storage resource management helps these organizations control costs as the size of their infrastructure grows. Understanding how SRM can help your business is essential to getting the most out of your investments in SRM and your storage infrastructure.

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Topics: storage resource management, 3rd Platform, third platform, ViPR, Big Data

Flight Attendants and the Internet of Things: Prepare for Landing

Posted by Mark A. O'Connell | Author Info

Oct 20, 2014 9:00:00 AM

In an earlier post, I talked about the Internet of Things and how this will transform both the storage industry and our use of storage. In this blog, I'll explore some possible ramifications of the Internet of Things in a real world setting, see how the Internet of Things will drive new storage requirements, and will demand new forms of storage. For this example, I'll take the case of an airport as well as the passenger’s experience at an airport - examined from the perspective of the passenger, the airlines, and the stores found in the airport.

To start, imagine the passenger experience at an airport. If I were the passenger, what would I want to know about as I land?  For my itinerary, I want to know the gate where my connecting flight leaves, how long it will take me to get there, and the best route to take to get to this gate. Most likely, I’ll want to know where the nearest restroom is en route to my next gate. Depending on how long I have between connections and the time of day, I may want to know where I can get a cup of coffee, a beer, a meal, a magazine or book, or where the nearest airline lounge is located. If I were at the end of my flight, I would want to know where the rental car desk is located (if I have rented a car), otherwise I'd want to know where the nearest taxi stand is along with the projected wait for a taxi.

For the airline, what would they want to know?  As an immediate need (for a particular flight), how far away are the passengers who need to board - and how many more passengers will be able to board if they hold the flight for five or ten minutes? For deplaning passengers, which ones have tight connections and can they be allowed to exit first? How many carts should be at the gate to transport passengers? For long term needs, how can the assignment of flights to gates be optimized based on connection time, number of passengers making the connection, and the like?

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Topics: Big Data, Internet of Things, storage management

We Liked Data Before it was Big

Posted by George Hamilton | Author Info

Oct 15, 2014 9:00:00 AM

“I liked data before it was big” is a sign hanging on a wall in one of our EMC offices (I scoured my LinkedIn feed to find the picture again to no avail). I love what that sign conveys. Here at EMC, we’ve always been about data; storage is just the means to keep, access, protect and use it. In my mind, EMC does not just tackle storage problems; we solve data management challenges. Big Data is the latest data management challenge. That’s why EMC is so excited to be at Hadoop World to showcase our storage and data management solutions for Big Data.

The quote on the front page of the Strata+Hadoop World web page reads, “Big data is at the foundation of all the megatrends happening today”. Hard to argue with that assessment. I’d only add that storage and data management are the foundation for Big Data. So, by transitive relationship, this means storage and data management are the foundation of all the megatrends happening today. If this sounds like hubris, take a look at what IT decision makers identified as their most important factors when evaluating storage for Big Data ( scale 1-5, 1 = Essential to 5= Unimportant).

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Topics: Software Defined Storage, ViPR, HADOOP, Big Data, Hadoop World, Isilon

Don't Wait to Tap Your Big Data Goldmine

Posted by Rich Simmons | Author Info

Mar 17, 2014 9:00:00 AM

It seems like everywhere you turn there is another article, post, or expert pontificating about Big Data as a future storage consideration. But big data things are currently happening already: transactions are being transacted, devices are sending out location and status, etc. It’s not like we are going to have a starter gun go off announcing the beginning of the Big Data Era; it’s happening now, but most businesses aren’t doing anything with it.

This raises a couple of interesting questions: Where is this Big Data going now in your storage environment? And how does that impact what you may want to do with it later? We were wondering about that here in ASD, and we went looking for some answers. We commissioned a study with The 451Group to try and get a handle on what businesses are doing today . The study encompassed corporate IT departments (a majority of whom are at the Manager level or above) at over 100 Enterprise companies.

One of the key questions we asked was: Which storage methods do you today support or do you plan to support for your Big Data implementation? In retrospect, the responses where not that surprising if you believe that Big Data is alive and active in the data center today and not some future ideal. The data shows that almost 50% said they store Big Data on an existing SAN, 30% indicated that it was on an existing NAS, and 30% said a cloud based storage platform (multiple selections were accepted). 

Question: Which storage methods do you support today or plan to support for your Big Data implementation?


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Topics: Software Defined Storage, HDFS, ViPR, Big Data

Understanding Hadoop, HDFS, and What That Means to Big Data

Posted by Amrita Sadhukhan | Author Info

Jan 27, 2014 9:00:00 AM

Over the past few years, usage of the Internet has increased massively.  People are now accessing emails, social networking sites, writing blogs, and creating multiple websites.  As a result, petabytes of data are generated every moment.  Enterprises today are trying to derive meaningful information from this data and convert it into information that can translate into business value as well as features and functionality for their various products. 

Huge volumes of a great variety of data, both structured and unstructured, are being generated at an unprecedented velocity and in many respects, that is the easy part!  It is the “gather, filter, derive and translate” part that has most organizations tied up in knots.  This is the genesis of today’s focus on Big Data solutions. 

Previously we have used traditional enterprise architectures consisting of one or more servers, storage arrays, and storage area networks connecting the servers and the storage arrays.  This architecture was built based on compute intensive applications that require a lot of processing cycles but mostly on a small subset of application data. 

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Topics: HDFS, HADOOP, Big Data