Moving big data to the cloud has many advantages. The cloud enables you to run business intelligence in extra-large datasets, getting valuable insights. You can also make the data available for collaboration or store it to ensure availability in case of failure or disaster..

Data visualization describes techniques and tools that help people understand the meaning of data by representing it in a visual context. It’s often easier to identify important trends, correlations, and patterns in data which is presented visually rather than in its native format. Data visualization is particularly helpful in a Big Data landscape, in which many enterprises try to derive insights from huge data sets, with information obtained from myriad sources, including social media, enterprise software, and web analytics.

Read on to find out how data visualization is linked to another extremely relevant aspect of technology—responsive web design and responsive images..

With almost 350 pages, 'Learning Hadoop 2', I was very pleasantly surprised!

This is a book that chapter by chapter, provides a guide with the appropriate depth in the apprenticeship of this technology, which is today one of the most flourishing. It has a lot of examples that we can execute and analyze..