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Buy for $20.87
Big data - the enormous amount of data that is created as virtually every movement, transaction, and choice we make becomes digitized - is revolutionizing business. Offering real-world insight and explanations, this audiobook provides a roadmap for organizations looking to develop a profitable big data strategy...and reveals why it's not something they can leave to the I.T. department.
Sharing best practices from companies that have implemented a big data strategy including Walmart, InterContinental Hotel Group, Walt Disney, and Shell, Think Bigger covers the most important big data trends affecting organizations, as well as key technologies like Hadoop and MapReduce, and several crucial types of analyses. In addition, the audiobook offers guidance on how to ensure security, and respect the privacy rights of consumers. It also examines in detail how big data is impacting specific industries - and where opportunities can be found.
Big data is changing the way businesses - and even governments - are operated and managed. Think Bigger is an essential resource for anyone who wants to ensure that their company isn't left in the dust.
What listeners say about Think Bigger
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This book wasn’t for you, but who do you think might enjoy it more?
This book IS NOT for people already in the data world looking for insights about Big Data trend... most of the content is known facts about what a data driven company and strategy are.
What could Mark Van Rijmenam have done to make this a more enjoyable book for you?
I'm just not the target audience. Should have said it in the description
Would you be willing to try another one of Erik Synnestvedt’s performances?
- Wendy W.
Good general info about the topic and trend.
A big picture of the field. Not a go to book on "how", but did list the top databases in the market.
Big Data usage and definition
Would you consider the audio edition of Think Bigger to be better than the print version?
What was one of the most memorable moments of Think Bigger?
Everything what is digital is data.
Which character – as performed by Erik Synnestvedt – was your favorite?
For such technical book it was very nice.
Was there a moment in the book that particularly moved you?
List of usage examples is very descriptive and contains lots of examples.
2 people found this helpful