Big Data, Big Analytics

Emerging Business Intelligence and Analytic Trends for Today's Businesses

De: Michael Minelli, Michele Chambers, Ambiga Dhiraj

Narrado por: Ryan Burke

Unique prospective on the big data analytics phenomenon for both business and IT professionals.

The availability of big data, low-cost commodity hardware, and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability.

The age of big data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics.

• Learn more about the trends in big data and how they are impacting the business world (risk, marketing, healthcare, financial services, etc.).
• Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights.
• Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2013 Michael Minelli, Michele Chambers, and Ambiga Dhiraj (P)2018 Gildan Media

very valuable information and a must read for all.

A outstanding and easy amount of useful information. I highly recommend this book to all new and inspiring learners.

A good wide tour of the aims and the tools

Hearing this, I feel a lot closer to overall competency with this topic and the technologies (and all the related jargon). The book works on several layers -- it reviews the technologies, the parts and people across the enterprise needed to make this work, and such matters as privacy and ethics considerations (and laws). First comes the tech, starting with a review of the evolution from proprietary database licensing, to open-source software, to various apps being built over that. The technology is amazing, as with hadoop and related software, all sorts of data can be pretty easily tossed into a big pool and then sorted and sifted. The point is made that careless purchase and use of these tools without in-house expertise wired to decisionmakers will be a costly mistake (as it is with spreadsheets and other data). It seems obvious that a lot of businesses not gathering intelligence via these means (and linking the pieces well) are in for rude surprises -- I would think it is like not having an auto when that age dawned. Everyone will be pulled into this arm's race, if you will. Part of this is staying attuned to customers, and getting that ever-faster feedback for ever-faster redeployments of resources. That feedback, like the emerging influence of artful product design since Steve Jobs elevated that some years back, is feeding back in new ways into all sorts of products and decisions. It is good to see the recognition here of the "art" skills side in the sense of data visualization skills having their rightful place.