How Long to Read Building Big Data and Analytics Solutions in the Cloud

How Long Does it Take to Read Building Big Data and Analytics Solutions in the Cloud?

It takes the average reader 1 hour and 41 minutes to read Building Big Data and Analytics Solutions in the Cloud by Wei-Dong Zhu

Assuming a reading speed of 250 words per minute. Learn more

Description

Big data is currently one of the most critical emerging technologies. Organizations around the world are looking to exploit the explosive growth of data to unlock previously hidden insights in the hope of creating new revenue streams, gaining operational efficiencies, and obtaining greater understanding of customer needs. It is important to think of big data and analytics together. Big data is the term used to describe the recent explosion of different types of data from disparate sources. Analytics is about examining data to derive interesting and relevant trends and patterns, which can be used to inform decisions, optimize processes, and even drive new business models. With today's deluge of data comes the problems of processing that data, obtaining the correct skills to manage and analyze that data, and establishing rules to govern the data's use and distribution. The big data technology stack is ever growing and sometimes confusing, even more so when we add the complexities of setting up big data environments with large up-front investments. Cloud computing seems to be a perfect vehicle for hosting big data workloads. However, working on big data in the cloud brings its own challenge of reconciling two contradictory design principles. Cloud computing is based on the concepts of consolidation and resource pooling, but big data systems (such as Hadoop) are built on the shared nothing principle, where each node is independent and self-sufficient. A solution architecture that can allow these mutually exclusive principles to coexist is required to truly exploit the elasticity and ease-of-use of cloud computing for big data environments. This IBM® RedpaperTM publication is aimed at chief architects, line-of-business executives, and CIOs to provide an understanding of the cloud-related challenges they face and give prescriptive guidance for how to realize the benefits of big data solutions quickly and cost-effectively.

How long is Building Big Data and Analytics Solutions in the Cloud?

Building Big Data and Analytics Solutions in the Cloud by Wei-Dong Zhu is 101 pages long, and a total of 25,351 words.

This makes it 34% the length of the average book. It also has 31% more words than the average book.

How Long Does it Take to Read Building Big Data and Analytics Solutions in the Cloud Aloud?

The average oral reading speed is 183 words per minute. This means it takes 2 hours and 18 minutes to read Building Big Data and Analytics Solutions in the Cloud aloud.

What Reading Level is Building Big Data and Analytics Solutions in the Cloud?

Building Big Data and Analytics Solutions in the Cloud is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Building Big Data and Analytics Solutions in the Cloud?

Building Big Data and Analytics Solutions in the Cloud by Wei-Dong Zhu is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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