Lastest Artcles

PHP Hadoop

PHP Hadoop

Why next-generation execs should care about data governance

April 27, 2018

There’s a general need for next-gen executives to not only understand corporate regulations, but be able to adhere to and follow them using metadata solutions like data governance. As the business world’s top asset becomes data, data governance will ensure that data and information being handled is consistent, reliable and trustworthy. Establishing and deploying an […]

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New hyper-fast data ingestion enables smarter decisions

April 27, 2018

Human beings tend to filter out events they deem unimportant. They can only process so much at any given time. Computer systems, however, must be able to handle a massive number of events in real time or near-real time to help support a wide range of applications.

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Dispelling myths about the IBM Integrated Analytics System

April 27, 2018

There are some misleading messages in the market about the IBM Hybrid Data Management and its data warehouse strategy. So here’s some clarification.

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Machine learning can’t save your bad data

April 27, 2018

Most sales-driven organizations have needed a customer retention model at some point or another. The request is fairly straightforward: identify the customers that a business might lose. But the process can create a nightmare.

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How To Process Big Data With Hadoop Cluster on Amazon EMR

How To Process Big Data With Hadoop Cluster on Amazon EMR?

April 24, 2018

Article by guest Author Jane Shel of Miromind www.miromind.com How To Process Big Data With Hadoop Cluster on Amazon EMR? For many years, organizations have been searching for ways to process their large amount of data. As an organization grows, there is a high rate of buildup of data. According to BedRock IT experts, such organizations […]

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5 ways to turn data into insights and revenue with cognitive content analytics

April 24, 2018

Many companies are expected to pursue data management, advanced analytics and cognitive computing to stay competitive and drive revenue. Except for a handful of leaders such as LinkedIn, Netflix, Nordstrom, Target and Verizon, most companies are still struggling to close the gap between data collection, insights and action.

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