6 bold predictions for 2014 big data

It's a season of erratic temperatures, a consumer's stumble, and a prophet's constant groping. As we begin in 2014 with some bold predictions of big data, will these big-data predictions really come true?

How will big data be developed in 2014? Of course, anyone can speculate about the future, but we think we have prepared a delicious holiday on big data for you, based on the various predictions of the executives who fought in the big data trenches. So let's not hesitate to look at the six big projections for next year's Big data:

1. More Hadoop projects will fail without success

The dreaded assessment was made by CEO Gari China, a large data-application platform company. In a blog post published on December 12, the village made some 2014-year predictions, including a pessimistic assessment of Hadoop

"As companies blindly put major resources into their big data projects before they do their due diligence, more Hadoop projects will vanish, resulting in the failure of an expensive, worthwhile project." Of course we may not know most of the failures, but success will clearly show the importance of using the right tools. The right and proper large data kits will help companies easily advance the success of these projects and further incorporate their value as their market strengths into their business processes.

2, enterprises will focus less attention on large data and focus on strengthening their data management game

"There is no doubt that the company's aggressive pursuit of large data is aimed at improving the operational decisions of its entire enterprise." That said, companies should not stay on the term "big data". Their real initiative and their ultimate concern is how they implement large data management practices to get the diversity and complexity of the data used for analysis, "senior vice president and outsourcing giant Capgemini group Scott Schleising told us by email."

3, 2014, in the open source community, the pace of large data innovation will accelerate

"The new Open-source project, like Hadoop2.0, yarn, as the next-generation Hadoop Explorer, will make Hadoop's infrastructure more interactive," he said. New Open-source projects like Storm audio and video, a streaming media protocol, will ensure that it is more real-time, "says Quentin Calivan, chief executive of Business analytics software maker Pentaho, on a December 5 blog.

4. The need for automation tools will become more and more important.

"The more data we have, the more we need it," Joseph, vice president of product marketing at Software Analytics, Lavastorm, told us by email. "However, as the volume of data increases, the need for pattern matching, simulation and predictive analysis technology becomes more important." It would be necessary to design an engine that could be automatically screened from growing volumes of data, identifying problems or opportunities, and even taking automated actions to exploit these findings. “

5, beware, Oracle! 2014 this year will be for SQL on Hadoop

"I think you'll see people start building interactive applications based on the Hadoop infrastructure," he said. But I mean--I think probably the most controversial thing--is that people will start using SQL to replace Hadoop as their first-generation relational database, "the database starts stitching Machine Sql-on-hadoop CEO Mengzi Weben said in a telephone interview.

6, big Data fly to the cloud

"Big data has gained a lot of traction in 2013, but complex technology is making it possible for many companies not only to get their solutions into production, but also to generate positive ROI." In the 2014, companies no longer focused on hype, but switched to cloud computing solutions to generate fast time values and did not need to be managed in a very professional way like Hadoop. 2014 will be a year of big data transfer from buzzwords to corporate priorities, "said Sandy Stell, founder and CEO of 1010data based Cloud Analytics.