As 2013 winds down, it’s only natural for people to make personal New Year’s resolutions for 2014. It’s also a perfect time for technology industry predictions.
This is the sixth installation in our multi-part “Technology Predictions for 2014″ series in which industry providers—from Big Data to cloud to mobile—share their predictions about the hot tech trends that will take center stage in 2014. We’ll keep sharing all the predictions we’ve heard with you over the next several days.
Big Data in 2014
Big Data is a topic that we at siliconANGLE have been reporting in depth in 2013. From our written coverage on the core requirements that High Performance Computing (HPC) and Big Data analysis have in common to theCUBE’s live coverage at events such as BigDataNYC 2013 and Hadoop Summit 2013, we have been sharing with you the most significant developments in Big Data. So, what’s in store for Big Data in 2014?
So far in this series, we’ve heard 2014 Big Data predictions in the first installation from Saggi Neumann, co-founder and CTO of Xplenty, a cloud-based, code-free, “Hadoop as a Service” platform. In the second installation, we heard predictions from Quentin Gallivan, CEO of Pentaho, a provider of open-source reporting, analysis, dashboard, data mining and workflow capabilities.
In the third installation, we heard predictions from Steven Hillion, Chief Product Officer of Alpine Data Labs, a code-free, in-cluster web analytics platform that analyzes Big Data and Hadoop. In the fourth installation, we heard predictions from John Schroeder, co-founder and CEO of MapR Technologies, a software provider of Hadoop technology for Big Data deployments. In the fifth installation, we heard predictions from Ron Bodkin, founder and CEO of Think Big Analytics.
Now HPC solution provider SGI weighs in. According to SGI, 2013 saw early signs of the re-adoption of HPC within the enterprise. The company said the technology has a legacy within the scientific and research community, but Big Data served as a catalyst for HPC adoption within traditional enterprise companies.
While the term Big Data might have peaked into disillusionment, according to SGI, HPC technology holds the promise of guiding Big Data into the trajectory of enlighten and the plateau of productivity, the company said.
The following are a few perspectives on the market from Jorge Titinger, President and CEO of SGI. He also shares three Big Data predictions for what is to come in 2014.
Prediction No. 1: In-memory databases will get an upgrade. In 2013, in-memory databases struggled to meet the demands of the increasingly data-driven enterprise.
In 2014, we’ll see big in-memory database vendors invest in new technology and partner with other companies who can enhanced their current systems to handle larger workloads.
Prediction No. 2: Hadoop will gain enterprise credibility. In 2013, Hadoop began to shift from isolated testing ground to multi-use case adoption across several industries. With the release of Hadoop 2.0 and the increasing popularity of YARN, the technology made major moves to become a valuable tool for real-time data analysis.
In 2014, we will welcome credible use case examples of how Hadoop and real-time analytics are being used to mine, extract and uncover valuable business insights.
Prediction No. 3: HPC will inject intelligence into Big Data analysis. In 2013, Big Data analysis continued to be limited by the inability of in-memory systems and analytical models to handle large data loads. This resulted in fragment data analysis under pre-defined relational parameters rather than holistic correlation analysis.
In 2014, HPC technology will combine original, un-fragmented data loads with visualization tools to map data—accelerating the creation of relational hypothesis. We will also start to see the first signs of machine learning for enterprise data insights as automated relational analysis enters the Big Data analytics space.
Latest posts by Suzanne Kattau (see all)
- Data-driven baby making: Conceivable applies analytics to fertility tracking - April 2, 2015
- The cheat sheet to following Big Data’s money trail | #BigDataSV - February 27, 2015
- How Big Data culture changed in 2014: Analysts’ top interviews from theCUBE - January 9, 2015