Big Data Solutions - Simple Steps to Win, Insights and Opportunities for Maxing Out Success

Nonfiction, Reference & Language, Reference, Business & Finance
Cover of the book Big Data Solutions - Simple Steps to Win, Insights and Opportunities for Maxing Out Success by Gerard Blokdijk, Emereo Publishing
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Author: Gerard Blokdijk ISBN: 9781488846991
Publisher: Emereo Publishing Publication: September 27, 2015
Imprint: Complete Publishing Language: English
Author: Gerard Blokdijk
ISBN: 9781488846991
Publisher: Emereo Publishing
Publication: September 27, 2015
Imprint: Complete Publishing
Language: English
The one-stop-source powering Big Data Solutions success, jam-packed with ready to use insights for results, loaded with all the data you need to decide how to gain and move ahead.

Based on extensive research, this lays out the thinking of the most successful Big Data Solutions knowledge experts, those who are adept at continually innovating and seeing opportunities.

This is the first place to go for Big Data Solutions innovation - INCLUDED are numerous real-world Big Data Solutions blueprints, presentations and templates ready for you to access and use.

Also, if you are looking for answers to one or more of these questions then THIS is the title for you:

What niche sectors could use big data solutions? Which company in the US is leading big data solutions? Does MongoDB work with Oracle Big Data solutions? What are some of the challenges in implementing big data solutions from AWS? What are some interesting cases of applying Big Data solutions to the Smart Grid domain? What companies provide big data solutions to phone networks? What are some good/attractive pricing models for big-data solutions? What's the data volume and other criteria that tells me it's time to transition from data warehouse solutions to big data solutions? What's the greatest barrier to the adoption of big data solutions in healthcare? What technology does NRI FinTech use for its big data solutions? Where can I find a comparison of the major big data solutions (IBM, Amazon, Oracle, Cloudera, MapR, Microsoft)? Is it profitable to build a business that is based on FQL/Facebook big data solutions? I want to start learning big data solutions, but there are many ways. Where should I start to learn? What is the best way: Hadoop, Spark, Storm or Machine Learning? ...and much more…

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
The one-stop-source powering Big Data Solutions success, jam-packed with ready to use insights for results, loaded with all the data you need to decide how to gain and move ahead.

Based on extensive research, this lays out the thinking of the most successful Big Data Solutions knowledge experts, those who are adept at continually innovating and seeing opportunities.

This is the first place to go for Big Data Solutions innovation - INCLUDED are numerous real-world Big Data Solutions blueprints, presentations and templates ready for you to access and use.

Also, if you are looking for answers to one or more of these questions then THIS is the title for you:

What niche sectors could use big data solutions? Which company in the US is leading big data solutions? Does MongoDB work with Oracle Big Data solutions? What are some of the challenges in implementing big data solutions from AWS? What are some interesting cases of applying Big Data solutions to the Smart Grid domain? What companies provide big data solutions to phone networks? What are some good/attractive pricing models for big-data solutions? What's the data volume and other criteria that tells me it's time to transition from data warehouse solutions to big data solutions? What's the greatest barrier to the adoption of big data solutions in healthcare? What technology does NRI FinTech use for its big data solutions? Where can I find a comparison of the major big data solutions (IBM, Amazon, Oracle, Cloudera, MapR, Microsoft)? Is it profitable to build a business that is based on FQL/Facebook big data solutions? I want to start learning big data solutions, but there are many ways. Where should I start to learn? What is the best way: Hadoop, Spark, Storm or Machine Learning? ...and much more…

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