It takes the average reader 3 hours to read Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data by Paul Zikopoulos
Assuming a reading speed of 250 words per minute. Learn more
Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data by Paul Zikopoulos is 176 pages long, and a total of 45,056 words.
This makes it 59% the length of the average book. It also has 55% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 6 minutes to read Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data aloud.
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data 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.
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