Big Data Analytics: Turning Big Data into Big Money
The promises offered by Big Data–driven decision making have been recognized broadly. Once the domain of only the heaviest of hitters—including Amazon, eBay, and Disney—Big Data analytics is now accessible to businesses of all sizes, across all industries. InBig Data Analytics, you'll learn how to extract intelligence and value out of your large data sets to grow your business, your bottom line, and your competitive edge.Focusing on the business and financial value of Big Data analytics, technical guru Frank Ohlhorst shares his insights on this newly emerging field to demonstrate the importance of analytics and define the processes. InBig Data Analytics, Ohlhorst highlights the tangible and intangible values and discusses how to turn a business liability—such as large scale data storage, backup, and archiving—into actionable material that can be used to redefine markets, improve profits, and identify new business opportunities.Beginning with the evolution of the technology as well as some of the basic concepts behind deriving value,Big Data Analyticsexplores:The different types of data sources involved and why they are important to businesses seeking to find value in data setsBuilding a business case that spurs investment into technologiesThe skill sets needed to successfully leverage your data setsHow to incorporate Big Data into a corporate cultureVarious public and private sources for dataStorage, processing power, platforms, and the elements that make up a Big Data analytics systemThe tools and techniques that keep large data sources securePotential pitfalls and how to avoid themHow Big Data moves through the analysis process and is transformed into usable information that delivers valueTo become bigger, you must think bigger. Discover the value in your data sets and maximize your bottom line withBig Data Analytics.