Moving Big Data Fast: 5 Reasons Why Accelerated and Managed File Transfer Should be Part of Every Big Data Strategy

by , April 25, 2013

Big data is growing - in every sense of the word. As we’ve mentioned in previous blogs, the amount of data produced every day is growing exponentially. Presently, 2.5 quintillion bytes of data are created every day. And 90% of the data in the world today has been created in the last two years.(1)

Furthermore, an increasing number of companies across a variety of industries are beginning to realize the benefits of leveraging big data and adopting a big data strategy in the workplace. In a recent survey conducted by Gartner it was found that 42% of IT leaders have invested in big data, or plan to do so within 12 months.(2)

BigDataStrategy

“Organizations have increased their understanding of what big data is and how it could transform the business in novel ways. The new key questions have shifted to 'What are the strategies and skills required?' and 'How can we measure and ensure our return on investment?'" said Doug Laney, research vice president at Gartner.

As Doug Laney mentioned, when implementing big data within an organization a strategy must be put in place to fully leverage its benefits. One extremely important big data strategy aspect and often overlooked is how to move this big data, as file transfer bottlenecks or failed data transfers are commonly experienced when transferring massive amounts into the terabytes or even petabytes.

Fortunately accelerated and managed file transfer is the perfect solution (pun intended) for moving big data. Accelerated and managed file transfer should be part of every big data strategy for the following 5 reasons:

  1. Accelerated file transfer is faster than other methods: Legacy tools like FTP and SMB are not up to the challenge of handling large file sizes and quickly delivering them. In fact, moving such large volumes of data with these tools is next to impossible. Accelerated file transfer fully utilizes a network’s link speed - resulting in the fastest transfer speeds possible, even over wide transfer distances (between cities, countries, and even continents).
  2. Data reduction capabilities: When it comes to duplication or keeping big data files in sync, certain accelerated and managed file transfer solutions can detect files and also the bytes within those files, that have changed. For examples, if only 1 file in 100 has changed and only 5% of that file has changed, only send the 5% of that 1 file would be transferred to during the sync, to dramatically reduce transfer time. And to further increase efficiency, the changed 5% detected be compressed to half the size for transfer.
  3. Data transfer reliability: Managed file transfer solutions drastically reduce the amount of failed file transfers versus other methods, and resume their previous progress if interrupted. There is nothing worse than a 50 TB file transfer failing at 75% completion and not being able to resume due to data corruption!
  4. Security of big data during transit: In general, all enterprise data should be secured during transit, and managed file transfer solutions typically offer industry-standard encryption to protect organizational data. Certain industries utilizing big data, like financial and medical data, place a special importance in this area and may require enhanced secured built into their tools.
  5. Scalability for large data sets: Many older tools just weren't designed to deal with big data. For instance, many solutions will fail before a single file is transferred because handling a data set containing millions of files is beyond their capabilities. A good managed file transfer solution will be able to scale into the millions of files and have no limits on data size.
  6. An important lesson on achieving success with big data, is that the collaboration between business and IT is essential.(3) And we believe that this is exactly where accelerated and managed file transfer comes in.

    Resources
    (1) http://www-01.ibm.com/software/data/bigdata/
    (2) http://www.gartner.com/newsroom/id/2366515
    (3) http://www.huffingtonpost.com/michael-j-schroeck/ibm-how-to-make-real-world-us_b_2972901.html
    Revision List

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