The use of big data technology is primarily a tool for predictive analysis, to make better decision, to reduce costs and risks

Over the years, loT has changed and the developments are there for everyone to see and benefit from.

Here, we take a look at some of the biggest Big Data Technology for the upcoming future

1In a span of three years ,  Ford turned i ts fortunes g lobal ly us ing Big Data analys is . A l l they d id was, to make every major decis ion based on the ins ight that they gathered going through the data.

2By analys ing the avai lable data and the current t rends, researchers can now predict the nature of the stock market us ing b ig data.

3Alt isca le has  recent ly launchedthe Al t isca le Ins ight C loud. I t i s a se l f-analyt ics service that a l lows users and bus iness analysts to quant i fy data.

4Likewise, AtSca le has launched the AtScale Inte l l igence P latform 4.0 that enables users to use bus iness tools l ike Tableau, Ql ik amongst others to access data stored in Hadoop c lusters.

5Blue Data has re leased EPIC that helps to reduce the complexi ty of implementing technologies l ike Spark and Hadoop.

6There is the Domo Business C loud which is a col lect ion of business management appl icat ions that helps decis ion makers wi th data ins ights and access to help find answers to the bus iness issues.

7Kyvos Ins ights ’ flagship software now comes with the Azure HD Ins ight that a l lows users to deploy tools l ike Kyvos in analys is .

8MapD Technologies has launched a database and v isua l analyt ics software that uses GPU-based process ing uni ts to map data and ass ists analysts in making predict ions.

9Ryft Systems has introduced a new hybr id FPGA c luster ca l led the Ryft One Cluster that c la ims to accelerate b ig data ecosystems by a factor of 100 and helps reduce costs by 70%.

10Tr i facta, another developer of ‘data wrangl ing’ software, has re leased the Photon Compute Framework that helps t ransform raw, complex data to a c lean, structured format.

Treat ing RDBMS schema as fi les or Hbase l ike an RDBMS or HDFS as a fi le

system, are issues that can be eas i ly avoided.

Data Agi l i ty wi l l ga in more importance in the near future.

More important ly , i t wi l l be about analys ing how effect ive th is data wi l l

be in managing resul ts and predict ing the profits a bus iness can make.  

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