In-memory Analytics: Leveraging Emerging Technologies for Business Intelligence

Traditional analytic tools run queries against a data warehouse (DW) with user queries being processed against the data stored on relatively slow hard drives. In-memory analytics leverages a significantly more efficient approach where all the data is loaded into memory. This results in dramatic improvements in query response time and end-user experience. Find out how in-memory analytics can help your organization.
  • Written By:
  • Published On:
  • (Originally Published On:) )
 
comments powered by Disqus


Featured publications:

Finance Executives on the Value of Technology Investment for Midsize Companies

Once you are able to provide people easy access to a little bit of information, they start asking for more—which ultimately sets a foundation for leveraging information to make better decisions. Read this report to learn why an integrated business intelligence (BI) and planning solution helps maximize the return on investment (ROI) in technology for midsize companies.
  • Written By:
  • Published On:

TEC 2014 Mobile BI Buyer's Guide

  • Source:
Once considered a nice-to-have, mobility is now standard in most business intelligence (BI) applications. Most traditional BI and analytics software providers have a complementary mobile offering, and new software offerings are emerging that provide BI functions solely for mobile platforms. This buyer’s guide surveys the mobile BI landscape and describes some of the more important solutions in this space. This guide will help you understand the various types of software offerings on the market, give you insight into what your peers are looking for in mobile BI solutions, provide an overview of the main features and functions of mobile BI solutions, and show you how these solutions can help you transform your business.

Delivering Information Faster: In-Memory Technology Reboots the Big Data Analytics World

In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing. See how it works and how to revolutionize the way you run your business.
  • Written By:
  • Published On:

You may also be interested in these related documents:

Real-time In-memory Technologies Do Not Make Data Warehousing Obsolete

The benefits of well thought-out architecture for designing and implementing large-scale DW environments are well-documented. Perhaps the best known of the DW architectures is the Corporate Information Factory. Since the creation of this architecture, there have been many technological advances, making its implementation faster, more scalable, and better performing. The data warehouse is no longer “off limits” to the business community; self-service BI, more sophisticated types of analytics, and true experimental (data science) analyses can now be performed with ease, and an increase in productivity and agility and flexibility of overall BI deployments is the result. Learn more in this white paper authored by one of the co-developers of the corporate information factory DW architecture.
  • Written By:
  • Published On:

In-Memory Databases/In-Memory Analytics

The appeal of in-memory technology is growing as organizations face the challenges of handling and utilizing big data. There are compelling technical advantages to having an in-memory database, but the business benefits can be far-reaching, as the knowledge gained from analytics means that a data-driven business can closely engage with and anticipate the needs of customers and markets. This paper provides a look at the benefits of in-memory technology for dealing with big data and short overviews of in-memory/analytics solutions by five of the major vendors in the space.
  • Written By:
  • Published On:

Prepare for the Quantum Leap in Real-time Analytics: How In-memory Analytics Is Going to Change Everything about Your Enterprise

For business leaders facing the radical, disruptive change represented by in-memory analytics, the response may range from enthusiasm and advocacy to apprehension and fear. Regardless of your particular posture, the smart company needs to understand how in-memory works and what it represents, and craft a purposeful roadmap for their in-memory future. Download this primer on in-memory analytics to learn what it all means for you.
  • Written By:
  • Published On: