Object storage: why, when, where… and but.

Good post by Enrico Signoretti (thank you)

In one of my latest posts I wrote about private object storage not being for everyone… especially if you don’t have the size that makes it viable… But, on the other hand we are all piling up boatloads of data and users need to access it from many different locations, applications and devices at anytime.

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Qumulo emerges with data-aware scale-out NAS

Good post by Dave Raffo (thank you)

Isilon founding engineers launch Qumulo Core, software designed to manage scale-out NAS with real-time analytics.

Qumulo came out of stealth today with what it describes as data-aware scale-out NAS with real-time analytics built in.

Qumulo Core was developed by many of the same developers who created Isilon scale-out NAS. Qumulo founders Peter Godman, Aaron Passey and Neal Fachan were responsible for dozens of Isilon patents. EMC acquired Isilon for $2.25 billion in 2010.

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Will the “Tape is Dead” Folks Please Sit Down?

Post by Christine Taylor (thank you)

A storage newsletter that shall go unnamed (we all make mistakes) discussed the dwindling of tape in 2012. Their opinion was that tape was on its way out. They pointed out that backup was moving to VTLs and that this change would be the death knell of tape.

The article granted archiving as a use case but questioned tape’s reliability over disk, and questioned tape’s slower access numbers over disk. Finally, the article reported that the only tape maker that was sharing numbers was SpectraLogic because news at other tape vendors was not good.

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Hadoop’s rise: Why you don’t need petabytes for a big data opening

Post by Toby Wolpe (thank you)

People are often hung up on the volume aspect of big data but other factors can be just as telling in the issues they raise for business.

Big data isn’t necessarily big and can be as much about the complexities of processing information as about volumes or data types.

Personal genetic-profiling services such as 23andMe, which charges $99 to sequence an individual’s genome, illustrate the point, according to Forrester principal analyst Mike Gualtieri.

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Big data architecture and patterns, Part 1: Introduction to big data classification and architecture

Good article by Divakar Misore, Shrikant Khupat and Shweta Jain (thank you)

How to classify big data into categories

Big data problems are often complex to analyze and solve. The sheer volume, velocity, and variety of the data make it difficult to extract information and business insight. A good first step is to classify the big data problem according to the format of the data that must be processed, the type of analysis to be applied, the processing techniques at work, and the data sources for the data that the target system is required to acquire, load, process, analyze and store.

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Seven IT Predictions for 2014

Post by Vaughn Stewart (thank you)

2013 has been a fantastic year. New releases, technologies, mergers, start-ups, etc have made the past twelve months a very dynamic year in the IT industry. As we here at Pure Storage begin to wind down the year I thought I’d chime in to share a few thoughts on what I am expecting to see in 2014. Are these predictions? Maybe. I prefer to consider them as top of mind thoughts that I have a lot of fun sharing.

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Hadoop: A Storage Platform as Well as Analysis Tool?

Post by Michele Nemschoff (thank you)

Data warehouses are a critical component for enterprises seeking to gain insights from the data they collect, but as the volume of data businesses collect continues to grow, the traditional data warehouse is increasingly becoming too expensive to maintain. On top of this, the majority of data being created today is unstructured data, which a traditional database is unable to collect and store unless the data is converted into a structured form.

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Applications of predictive analytics above the 85th parallel

 

Good Post by Graeme Noseworthy (thank you)

Last year, I was lucky enough to interview the one and only Santa Claus during some deep diving research into holiday marketing and seasonal retail trends. It was a fascinating look into what had always been a mysterious, if not fabled, operation at the northern most reaches of our lovely little planet.

As I started to reflect on my exchange with jolly old St. Nick, I began to realize that Santa was primarily applying analytics for big data exploration and operations analysis. It seemed to me like something was missing. And so, it was time to reach out to him again. I knew I had to act quickly before he was ready to suit up, fly out and get his Christmas on. I put my letter in the mail (along with a list of presents I’m hoping he brings me) and soon after I was lucky enough to receive his reply.

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