Big Data: The Driver of Developing Technologies

In October 2014, more than two years ago, our world crossed one of the largest technological thresholds in history: there were officially more mobile devices than people on the planet. With roughly 7 billion people in the world, there were ...

Using Big Data to Laser Target Your Ideal Customers

There is perhaps no industry that has taken to big data like a fish to water as much as marketing. It seems that every marketing tool from social media scheduling to content management solutions to email automation is making use ...

Top 10 Big Data Trends For 2017

The top Big data trends they foresee will be strategic for most organizations in 2017. The top 10 data trends for 2017 are assembled by a panel of Infogix senior executives. The key trends include: The Proliferation of Big Data Proliferation ...

Big Data Processing With Apache Ignite

Apache Ignite is an in-memory computing platform that can be inserted seamlessly between a user’s application layer and data layer. Apache Ignite loads data from the existing disk-based storage layer into RAM, improving performance by as much as six orders ...

Top 10 Tips for Scaling Hadoop

Data locality is about making sure a big data set is stored near the compute that performs the analytics. For Hadoop, that means managing DataNodes that provide storage for MapReduce to perform adequately. It works effectively, but leads to the ...

Yes! Big Data Still Needs These Developments

Big data has been welcomed so far, by the technology world knowing its advantages and reliability. Everyone runs behind big data to know its advantages but no one is really bothering to know its disadvantages. It’s high time we all ...

5 things you need to know about Hadoop Vs Apache Spark

Listen in on any conversation about big data, and you'll probably hear mention of Hadoop or Apache Spark. Here's a brief look at what they do and how they compare. 1: They do different things. Hadoop and Apache Spark are both ...
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