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

Nonfiction, Reference & Language, Reference, Business & Finance
Cover of the book Big Data analytics - Simple Steps to Win, Insights and Opportunities for Maxing Out Success by Gerard Blokdijk, Emereo Publishing
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Author: Gerard Blokdijk ISBN: 9781488846984
Publisher: Emereo Publishing Publication: September 27, 2015
Imprint: Complete Publishing Language: English
Author: Gerard Blokdijk
ISBN: 9781488846984
Publisher: Emereo Publishing
Publication: September 27, 2015
Imprint: Complete Publishing
Language: English
The one-stop-source powering Big Data analytics 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 analytics knowledge experts, those who are adept at continually innovating and seeing opportunities.

This is the first place to go for Big Data analytics innovation - INCLUDED are numerous real-world Big Data analytics 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 are good tools for big data analytics? What is big data? Big Data: What are some interesting big data and analytics startups? What are the biggest challenges with doing Big Data analytics? Big Data: How are online retailers using big data analytics? Who are the top 10 companies in big data analytics? Where can I find market size data for Big Data analytics? What are the best resources on Big Data Analytics? What are the best technologies for big data analytics on streaming data? What is the current state of big data analytics in Singapore? What is the difference between Data Analytics, Data Analysis, Data Mining, Data Science, Machine Learning, and Big Data? Is big data analytics useful for mechanical engineers? Does big data analytics have a good scope in the future? NoSQL: How significant is columnar storage for Big data analytics? And Why? What are the best big data analytics/engineering bootcamps in SF? How Big Data analytics can impact business results? What are some of the big data analytics companies?

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 analytics 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 analytics knowledge experts, those who are adept at continually innovating and seeing opportunities.

This is the first place to go for Big Data analytics innovation - INCLUDED are numerous real-world Big Data analytics 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 are good tools for big data analytics? What is big data? Big Data: What are some interesting big data and analytics startups? What are the biggest challenges with doing Big Data analytics? Big Data: How are online retailers using big data analytics? Who are the top 10 companies in big data analytics? Where can I find market size data for Big Data analytics? What are the best resources on Big Data Analytics? What are the best technologies for big data analytics on streaming data? What is the current state of big data analytics in Singapore? What is the difference between Data Analytics, Data Analysis, Data Mining, Data Science, Machine Learning, and Big Data? Is big data analytics useful for mechanical engineers? Does big data analytics have a good scope in the future? NoSQL: How significant is columnar storage for Big data analytics? And Why? What are the best big data analytics/engineering bootcamps in SF? How Big Data analytics can impact business results? What are some of the big data analytics companies?

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