TDWI Checklist Report: Analytic Databases for Big Data

  • Source: TDWI
  • Written By:
  • Published:
  • (Originally Published On:) )
Many organizations in today's “big data” world are contemplating a replacement of their analytic databases and data warehouses to keep pace with new requirements for advanced analytics, and they are turning more and more to specialized analytic database management systems (DBMSs). Within the DBMS arena, there’s a slow trend away from practicing analytics with relational DBMSs that were originally designed for OLTP and towards analytic databases that provide computing architectures designed for complex queries, analytic algorithms, high performance, and terabyte-size scalability. This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data, and defines the many techniques and tool types involved.

Featured Software Research:

Big Data, Mobility, and Green IT: Innovations for Manufacturers and Distributors

Your business is in good company if it is considering big data, mobility, and/or green information technology (IT) solutions. Before making an investment decision, however, it should evaluate its options relative to actual business strategies and operating requirements. Only then will it put itself in a position to make a well-informed investment decision. Download this article to learn more. Read More

Usability as an ERP Selection Criteria

  • Source: IFS
  • Written By:
  • Published:
Enterprise resource planning (ERP) software is often criticized for being complex and difficult to use—which puts up a barrier to receiving potential benefits. Systems with integrated search functionality and Web-like interfaces can make ERP solutions easier to use. Learn how to evaluate ERP software for its usability, so you can avoid investing in platforms that aren’t evolved toward usable and efficient interfaces. Read More

You may also be interested in these related documents:

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... Read More

2013 Big Data Opportunities Survey

While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses and a discussion of the results. Read More

Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations

While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of "big data" and the use of analytics to mine that data. Read More
 
comments powered by Disqus