Big Data Analytics (SAS)

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. In Big 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. In Big 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 Analytics explores:

• The different types of data sources involved and why they are important to businesses seeking to find value in data sets
• Building a business case that spurs investment into technologies
• The skill sets needed to successfully leverage your data sets
• How to incorporate Big Data into a corporate culture
• Various public and private sources for data
• Storage, processing power, platforms, and the elements that make up a Big Data analytics system
• The tools and techniques that keep large data sources secure
• Potential pitfalls and how to avoid them
• How Big Data moves through the analysis process and is transformed into usable information that delivers value

To become bigger, you must think bigger. Discover the value in your data sets and maximize your bottom line with Big Data Analytics.

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. In Big 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. In Big 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 Analytics explores:

• The different types of data sources involved and why they are important to businesses seeking to find value in data sets
• Building a business case that spurs investment into technologies
• The skill sets needed to successfully leverage your data sets
• How to incorporate Big Data into a corporate culture
• Various public and private sources for data
• Storage, processing power, platforms, and the elements that make up a Big Data analytics system
• The tools and techniques that keep large data sources secure
• Potential pitfalls and how to avoid them
• How Big Data moves through the analysis process and is transformed into usable information that delivers value

To become bigger, you must think bigger. Discover the value in your data sets and maximize your bottom line with Big Data Analytics.