Understanding Big Data: A Beginners Guide to Data Science & the Business Applications

Business & Finance, Industries & Professions, Information Management
Cover of the book Understanding Big Data: A Beginners Guide to Data Science & the Business Applications by Eileen McNulty-Holmes, Eileen McNulty-Holmes
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Eileen McNulty-Holmes ISBN: 9781311106070
Publisher: Eileen McNulty-Holmes Publication: December 2, 2014
Imprint: Smashwords Edition Language: English
Author: Eileen McNulty-Holmes
ISBN: 9781311106070
Publisher: Eileen McNulty-Holmes
Publication: December 2, 2014
Imprint: Smashwords Edition
Language: English

"Big data" may be the biggest buzzword of our time. Many talk about how big data could revolutionise industries, make profit margins soar, and lead to some of the greatest scientific advancements of our time. But when it comes to the details of how to implement a big data strategy, or why data science has become such an innovative field, it's not so clear.

The founders of Dataconomy viewed the root cause of the disconnect between the hype and the innovation as a rift between the business and data science communities. It is undisputed that data scientists have produce staggering innovations and will continue to do so, but there is a fundamental gap between these data scientists and the business world they so often aim to enrich.

It was with this quandary in mind that Dataconomy began. Formed to fortify the lines of communication between the realms of data science and business, our stories focus around the way in which data of all kinds is shaping our modern consciousness- from how our information is being shared, to how it's touching our experiences as retail consumers, hospital patients and citizens within urban environments.

It's a fascinating and broad scope, and an area in which we are keen to share our knowledge and experience with a wider audience looking to understand the big data space. In this ebook, we've gathered together a comprehensive field guide to data science terms, technologies and applications for the uninitated. We will walk through the developments in data science that's made is such an fascinating and ubiquitous field, the latest technologies that made it possible, and use cases from household names that show data science at work on a granular level within industry. If you reach the end of the book and want to learn more, Dataconomy.com is updated daily with the latest data science news, stories and expert opinion, from international leaders around the globe.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

"Big data" may be the biggest buzzword of our time. Many talk about how big data could revolutionise industries, make profit margins soar, and lead to some of the greatest scientific advancements of our time. But when it comes to the details of how to implement a big data strategy, or why data science has become such an innovative field, it's not so clear.

The founders of Dataconomy viewed the root cause of the disconnect between the hype and the innovation as a rift between the business and data science communities. It is undisputed that data scientists have produce staggering innovations and will continue to do so, but there is a fundamental gap between these data scientists and the business world they so often aim to enrich.

It was with this quandary in mind that Dataconomy began. Formed to fortify the lines of communication between the realms of data science and business, our stories focus around the way in which data of all kinds is shaping our modern consciousness- from how our information is being shared, to how it's touching our experiences as retail consumers, hospital patients and citizens within urban environments.

It's a fascinating and broad scope, and an area in which we are keen to share our knowledge and experience with a wider audience looking to understand the big data space. In this ebook, we've gathered together a comprehensive field guide to data science terms, technologies and applications for the uninitated. We will walk through the developments in data science that's made is such an fascinating and ubiquitous field, the latest technologies that made it possible, and use cases from household names that show data science at work on a granular level within industry. If you reach the end of the book and want to learn more, Dataconomy.com is updated daily with the latest data science news, stories and expert opinion, from international leaders around the globe.

More books from Information Management

Cover of the book Fuzzy Management by Eileen McNulty-Holmes
Cover of the book Net Work by Eileen McNulty-Holmes
Cover of the book Mobile Devices by Eileen McNulty-Holmes
Cover of the book Software-Defined Data Infrastructure Essentials by Eileen McNulty-Holmes
Cover of the book Temporal Data Mining via Unsupervised Ensemble Learning by Eileen McNulty-Holmes
Cover of the book Business Intelligence 100 Success Secrets - 100 Most Asked Questions: The Missing BI software, Tools, Consulting and Solutions Guide by Eileen McNulty-Holmes
Cover of the book Logistic Core Operations with SAP by Eileen McNulty-Holmes
Cover of the book Information Theory and Best Practices in the IT Industry by Eileen McNulty-Holmes
Cover of the book Performance Measurement by Eileen McNulty-Holmes
Cover of the book Videoschnittlösungen - Eine technische Einführung, Möglichkeiten und Produktübersicht by Eileen McNulty-Holmes
Cover of the book IT Quality Management by Eileen McNulty-Holmes
Cover of the book Die digitale Spaltung der Bevölkerung by Eileen McNulty-Holmes
Cover of the book Semantic Keyword-Based Search on Structured Data Sources by Eileen McNulty-Holmes
Cover of the book Knowledge Sharing in Professions by Eileen McNulty-Holmes
Cover of the book Advanced Digital Preservation by Eileen McNulty-Holmes
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy