Doug Cutting and Mike Cafarella two well know computer scientists created Hadoop in 2006. They got this inspiration from Google’s MapReduce a software framework that breaks down the application into numerous small parts. These parts can be run on any node in the cluster. Hadoop after years of development became publicly available in 2012 sponsored by Apache Software Foundation. Hadoop is an open-source software framework to store data and process this data on clusters. It...
read moreThe fame of Big Data lies within its wide-ranging definition of employing high volume, velocity, and different data sets that are difficult to manage and excerpt value from. Clearly, most software development companies can identify themselves as facing Big Data challenges and chances today or in future. This, therefore is not a new issue yet it has a new quality as it has been aggravated in recent years. Cheaper storage and omnipresent data collection and availability of third party data...
read moreTable of Content 1. Introduction 2. Big Data 3. Trends in Big Data Analytics 3.1. Big data analytics in the cloud 3.2. Hadoop: The new enterprise data operating system 3.3. Big data lakes 3.4. More predictive analytics 3.5. In-memory analytics 3.6. More, better NoSQL 4. Conclusion 5. Bibliography Introduction Software development companies are trying to be up to date with the emerging trends for Big Data. Big data has got a...
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