Big Data Architect’s Handbook
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Big data solutions – cloud versus on-premises infrastructure

Since the time when people started realizing the power of data, researchers have been working to utilize it to extract meaningful information and identify different patterns. With big data technology enhancements, more and more companies have started using big data and many are now on the verge of using big data solutions. There are different infrastructural ways to deploy a big data setup. Until some time ago, the only option for companies was to establish the setup on site. But now they have another option: a cloud setup. Many big companies, such as Microsoft, Google, and Amazon, are now providing a large amount of services based on company requirements. It can be based on server hardware configuration, and can be for computation power utilization or just storage space.

Later in this book, we will discuss these services in detail.

Different types of big data infrastructure

Every company's requirements are different; they have different approaches to different things. They do their analysis and feasibility before adopting any big changes, especially in the technology department. If your company is one of them and you are working on adopting any big data solution, make sure to bear the following in mind.