Big Data, Data Mining, and Machine Learning: Value Creation by Jared Dean

By Jared Dean

With sizeable info analytics comes substantial insights into profitability

Big information is enormous company. yet having the knowledge and the computational strength to strategy it isn't approximately sufficient to provide significant effects. Big information, information Mining, and Machine studying: worth construction for company Leaders and Practitioners is an entire source for know-how and advertising executives seeking to reduce throughout the hype and bring actual effects that hit the base line. offering a fascinating, thorough evaluate of the present country of huge info analytics and the starting to be pattern towards excessive functionality computing architectures, the ebook is a detail-driven look at how monstrous facts analytics might be leveraged to foster optimistic switch and force efficiency.

With endured exponential progress in facts and ever extra aggressive markets, companies needs to adapt fast to achieve each aggressive virtue to be had. vast information analytics can function the linchpin for projects that force company, yet provided that the underlying expertise and research is totally understood and preferred by way of engaged stakeholders. This publication presents a view into the subject that executives, managers, and practitioners require, and includes:

A entire review of huge facts and its amazing characteristics
Details on excessive functionality computing architectures for analytics, hugely parallel processing (MPP), and in-memory databases
Comprehensive assurance of information mining, textual content analytics, and computing device studying algorithms
A dialogue of explanatory and predictive modeling, and the way they are often utilized to decision-making processes
Big info, info Mining, and desktop Learning offers expertise and advertising executives with the total source that has been significantly absent from the veritable libraries of released books at the subject. Take regulate of your organization's giant information analytics to supply genuine effects with a source that's entire in scope and light-weight on hyperbole.

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The network speed of your high‐performance data mining platform will be important if you have a distributed computing environment. Because the network data transfer rate is much slower than other components, you must consider the network component when evaluating data mining software solutions. CHA P T E R 2 Distributed Systems I f you look back before electronic computers, the term “computer” meant a person who performed numerical calculations. , multiperson) computing dates back much farther than conventionally asserted.

2003 ■ According to studies by IDC and EMC, the amount of data created in 2003 surpasses the amount of data created in all of human history before then. 8 ZB is the equivalent of 200 billion high‐definition movies, each two hours long, or 47 million years of footage with no bathroom breaks). ■ LinkedIn, the popular social networking website for professionals, launches. In 2013, the site had about 260 million users. INTRODUCTION ◂ 7 2004 ■ Wikipedia reaches 500,000 articles in February; seven months later it tops 1 million articles.

This problem has only been exacerbated as now individuals are generating so much more data than ever before as they go through their daily lives. This INTRODUCTION ◂ 9 increase in data, however, has caused the information management industry to provide better solutions than ever on how to store, manage, and analyze the data we are producing. In addition, we also have more opportunity to engage with data. A simple example that is discussed in more detail in Part Two is the recommendations you get from Amazon.

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