Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Kurt Marko

Kurt Marko

Contributing Editor

Big Data Means Big File Sharing

Need to move a few 60-MB CAD files cross-country? To the cloud, by way of Aspera's new virtual appliance.

In this age of Gmail, CloudApp, and Dropbox, it seems like sharing files across organizations and geographies would be a solved problem. Just email it, or upload it and send a link. But what if you're a video producer on location needing to send the day's clips, at about 500 GB per hour for 1080p video, back to Hollywood for editing? Or perhaps a medical researcher sharing with colleagues DNA sequences clocking in at 3 GB per genome, or even a road construction company getting 60-MB CAD file design updates from the local highway department?

Email is usually out of the question, since even Google limits attachment sizes to 25 MB. Ditto for Dropbox; even if you don't mind the $20-per-month price tag per 100 GB quota, the service caps uploads at 300 MB. Likewise for CloudApp, which caps file sizes at 50 MB. And even assuming you find a place in the cloud to share the data, you've still got to get it there over network pipes and file transfer protocols like FTP or WebDAV, which were designed for browser sessions or small downloads, not gigabyte uploads.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

This is just the problem Aspera is looking to solve with its Aspera On-Demand virtual appliance, which facilitates moving data to and from Amazon Web Services at up to 350 Mbps, dependent on your WAN link. So, if you're an enterprise that has moved data- and processor-intensive applications into Amazon's cloud--particularly apps where users are constantly manipulating or updating the data--you now have a means of accelerating their access to near-LAN-level speeds.

From its roots in the media and entertainment market, Aspera is targeting the new offering to address the growing need for efficient "big data" transfer in industries ranging from defense to pharmaceuticals. Its first product, locally installed server software with an associated client application, amounted to little more than an FTP replacement--FTP 2.0 if you will, albeit one with sizable benefits, including orders-of-magnitude increases in throughput, in-flight AES encryption, and bandwidth-usage controls. But it's aimed at businesses with the IT resources and mega-file volume to justify purchasing yet another piece of server software and distributing another unfamiliar client application to end users. Smaller businesses that can't go that route but still need to collaborate on large data sets were out of luck--until now.

Aspera's niche was, until recently, a corner of the IT market of interest primarily to the media and entertainment industries. The cloud, and the simultaneous but largely unrelated growth in rich media generally, has changed all that as companies across the industrial spectrum now need to move large amounts of data across the Internet. And this problem of transferring unique data sets from disparate, sometimes mobile sources (like the aforementioned video producer on a shoot) is one that neither WAN-optimization appliances nor content-distribution networks are designed to solve. Aspera's technology is designed to improve content delivery in a number of scenarios--not only ad hoc file transfer and synchronization, but also data transfer into the cloud, from both PCs and, now, mobile devices.

Historically, file transfer optimization products like Aspera's have used a client-server software architecture. You run a proprietary server "receptacle" in the enterprise and distribute client applications to users who transfer big data. This works fine for the ad agency scenario filming a new car ad at the Bonneville Salt Flats (the middle of nowhere, Internet-wise) needing to copy the day's best clips back to Hollywood for editing. But cloud services introduce another, and likely much more common, use case, one in which you don't directly control the server hardware and are using the cloud to facilitate working with people outside your company. Yet using the cloud when the object of discussion is a 100-plus-MB video clip, scientific data set, or CAD file can feel like trying to drain a swimming pool with a drinking straw. Here is where Aspera's new virtual appliance, which turns its server software into an Amazon EC2 instance tied to an S3 storage pool, comes in handy.

Aspera isn't alone in addressing the need for more efficient transfer of and access to cloud-resident data. RocketStream, which has since been acquired by Tibco and incorporated into its Managed File Transfer service; FileCatalyst; and RepliWeb offer similar managed data transfer services. If you're in a business that routinely manages large data files, this new generation of services that move data transfer optimization technology into the cloud is worth investigating. Speeding up file transfers by one or two orders of magnitude does wonders to your ability to efficiently collaborate across organizations and geographies.

Get lessons from five companies on the front lines of implementing unified communications. Also in the all-digital supplement of Network Computing: Mike Fratto on how to make the case for UC. Download the supplement now. (Free registration required.)



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.