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 ...

Big Data Analytics –The Best Career Move in the Coming Years!

Organizations are consistently assessing trends to find out how they can reach their goals. The recent searches show that the use of Big Data Analytics is possibly the hottest skills dominating modern job markets and the best career move for ...

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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