Download e-book for kindle: Big Data For Dummies by Judith Hurwitz
By Judith Hurwitz
Gigantic info administration is without doubt one of the significant demanding situations dealing with enterprise, undefined, and not-for-profit enterprises. information units equivalent to patron transactions for a mega-retailer, climate styles monitored through meteorologists, or social community task can fast outpace the ability of conventional info administration instruments. if you would like to strengthen or deal with enormous info suggestions, youll take pleasure in how those 4 specialists outline, clarify, and consultant you thru this new and sometimes complicated idea. Youll research what it truly is, why it issues, and the way to decide on and enforce options that paintings.
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Enterprise information actually represents a large percent of the text information in the world today. ✓ Social media data: This data is generated from the social media platforms such as YouTube, Facebook, Twitter, LinkedIn, and Flickr. ✓ Mobile data: This includes data such as text messages and location information. ✓ Website content: This comes from any site delivering unstructured content, like YouTube, Flickr, or Instagram. And the list goes on. Some people believe that the term unstructured data is misleading because each document may contain its own specific structure or formatting based on the software that created it.
Defense Advanced Research Project Agency (DARPA). The result of the organization’s research was the development of the Internet, the first distributed computing network. You might say that it initiated a revolution that has led to a transformation of everything from commerce to healthcare, to transportation, and to human-to-human and machine-to-machine communications. In this chapter, we explain what distributed computing is and describe why it is the foundation for big data. A Brief History of Distributed Computing Behind all the most important trends over the past decade, including service orientation, cloud computing, virtualization, and big data, is a foundational technology called distributed computing.
We talk more about this in Chapter 3 when we discuss distributed computing. However, the following list highlights a few things you need to consider regarding a system’s capability to ingest data, process it, and analyze it in real time: ✓ Low latency: Latency is the amount of time lag that enables a service to execute in an environment. Some applications require less latency, which means that they need to respond in real time. A real-time stream is going to require low latency. So you need to be thinking about compute power as well as network constraints.
Big Data For Dummies by Judith Hurwitz