دانلود کتاب معماری داده های بزرگ مقیاس پذیر – راهنمای عملی برای انتخاب معماری کلان داده مرتبط

Data management is getting more complex than it has ever been before. Big Data is everywhere, on everyone’s mind, and in many different forms: advertising, social graphs, news feeds, recommendations, marketing, healthcare, security, government, and so on. In the last three years, thousands of technologies having to do with Big Data acquisition, management, and analytics have emerged; this has given IT teams the hard task of choosing, without having a comprehensive methodology to handle the choice most of the time. When making such a choice for your own situation, ask yourself the following questions: When should I think about employing Big Data for my IT system? Am I ready to employ it? What should I start with? Should I really go for it despite feeling that Big Data is just a marketing trend? All these questions are running around in the minds of most Chief Information Officers (CIOs) and Chief Technology Officers (CTOs), and they globally cover the reasons and the ways you are putting your business at stake when you decide to deploy a distributed Big Data architecture. This chapter aims to help you identity Big Data symptoms—in other words when it becomes apparent that you need to consider adding Big Data to your architecture—but it also guides you through the variety of Big Data technologies to differentiate among them so that you can understand what they are specialized for. Finally, at the end of the chapter, we build the foundation of a typical distributed Big Data architecture based on real life examples.