The 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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