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by Bill Inmon Content type: Downloads
Category: Big Data Document



by Bill Inmon Content type: Downloads
Category: Big Data Document



by Ralph Kimball Content type: Downloads
Category: Big Data Document

In this white paper, we describe the rapidly evolving landscape for designing an enterprise data warehouse (EDW) to support business analytics in the era of "big data.” We describe the scope and challenges of building and evolving a very stable and successful EDW architecture to meet new business requirements. These include extreme integration, semi- and un-structured data sources, petabytes of behavioral and image data accessed through MapReduce/Hadoop as well as massively parallel relational databases, and then structuring the EDW to support advanced analytics. This paper provides detailed guidance for designing and administering the necessary processes for deployment. This white paper has been written in response to a lack of specific guidance in the industry as to how the EDW needs to respond to the big data analytics challenge, and what necessary design elements are needed to support these new requirements.

by Krish Krishnan Content type: Downloads
Category: Big Data Document

Innovation has always been the spirit of our country and has been the key to success for a number of decades. If we were to turn through the pages of history, we would see there have been tipping points across time leading to innovations in every field that touches the human life, making the world a better place. A closer examination of any innovation reveals that there has been a lot of research and development using a large volume of data, based on which we have arrived at the solution. Many of the innovations – beginning with electricity, radio and wireless, automobiles and, more recently, the Internet and mobile devices – have been transformative both professionally and in our personal lives, and provided significant business benefits.



by IBM Content type: Downloads
Category: Big Data Document



by IBM Content type: Downloads
Category: Big Data Document



Content type: Downloads
Category: Big Data Document

DMForum and the BIG DATA AND ENTERPRISE ARCHITECTURE CONFERENCE 2013 Theme: Award-Winning BIG DATA Programs – Best Practices in Technologies and Techniques By Anne Marie Smith, Ph.D. Alabama Yankee Systems, LLC Independent Consultant, Enterprise Information Management and Data Governance Conference Background Each year, DMForum (http://www.dmforum.org) hosts a Data Warehouse conference in Washington, DC, where experts in enterprise data management and data warehousing gather to present their approaches to challenges faced in all industries concerning the use of data and information. This event is co-sponsored annually by the National Capital Region of DAMA International (http://www.dama-ncr.org). The 2013 conference is scheduled for Friday, November 22 at the Crystal City Hilton Hotel, and the focus will be on the exciting developments in BIG DATA.

by Krish Krishnan Content type: Downloads
Category: Big Data Document

Social media has captured business owners’ attention from across the world and it is now fanned by the giant wave or tsunami called big data. While Facebook, Twitter or any forum or blog can give you platforms where communities of customers gather to share opinions and ideas about products, services and much more, the content and context are not often clear and are completely devoid of emotion. Here is where the topic of this article comes from – what is the business value of social media data? The biggest issue that faces every organization wanting to implement a social media integration strategy is identifying the business value. Understanding one’s customer is very critical, and there are several channels to help you do this, including research firms such as Nielsen; agencies that specialize in aggregating metrics, such as Gnip and Infochimps; data and metrics providers such as Visible Technologies, and expert marketing consultants who can explain a dozen metrics that you need from social media. But where is the business value? Customer lifetime value (LTV) or wallet share are not metrics that justify such data integration nor is the notion of social customer relationship management (CRM) or supplier relationship management (SRM).

by Krish Krishnan Content type: Downloads
Category: Big Data Document

One of the most richest and deepest sources of data exists is the world of Telco and Wireless. There is data from switches, towers, call centers, billing systems, devices (search, applications and other data), customer data, service data, contracts, inter-carrier relationship and revenue data, customer relationship management systems, sales databases, website activity data and search appliances datasets. The biggest issues that Telco’s and Wireless carriers, service providers and licensed operators face is the limited access to transactional data collected across different systems, and no ability to access data at tower, switch, call center and other sources like social media.

by James G. Kobielus Content type: Downloads
Category: Big Data Document

In Forrester’s 15-criteria evaluation of enterprise Hadoop solution providers, we found that in the Leaders category, Amazon Web Services led the pack due to its proven, feature-rich Elastic MapReduce subscription service; IBM and EMC Greenplum offer Hadoop solutions within strong EDW portfolios; MapR and Cloudera impress with best-of-breed enterprise-grade distributions; and Hortonworks offers an impressive Hadoop professional services portfolio. Strong Performer Pentaho provides an impressive Hadoop data integration tool. Of the Contenders, DataStax provides a Hadoop platform for real-time, distributed, transactional deployments; Datameer has a user-friendly Hadoop/MapReduce modeling tool; Platform Computing and Zettaset offer best-of-breed Hadoop cluster management tools; and Outerthought has optimized its Hadoop platform for high-volume search and indexing. HStreaming is a Risky Bet with a solution that is strong in real-time Hadoop.

by Krish Krishnan Content type: Downloads
Category: Big Data Document

The information explosion has rocked the world of data over the last five years. The advancement of mobile technology, the availability of tablets and smartphones, and the rapid growth of social media have all contributed to both production and consumption of data at never-before-seen volumes. Other contributing factors have been recommendation engines, cool new visualization capabilities for business intelligence (BI), advances in software technology to enable machine learning, and smarter systems in hospitals, airports, airplanes, automobiles and more.

by Krish Krishnan Content type: Downloads
Category: Big Data Document



Content type: Downloads
Category: Big Data Document



by Anne Marie Smith Content type: Downloads
Category: Big Data Document



by James Kobielus Content type: Downloads
Category: Big Data Document



Content type: Downloads
Category: Big Data Document



Content type: Downloads
Category: Big Data Document



by Mark A. Beyer, Donald Feinberg, Roxane Edjlali, Me Content type: Downloads
Category: Big Data Document

The data warehouse DBMS market is transforming due to the rise of "big data" and logical data warehouses. Unexpectedly, many organizations entered the data warehouse market in 2012 for the first time, increasing demand for professional services and causing important changes in vendors' positions.

by Anne Marie Smith, Ph.D. Content type: Downloads
Category: Big Data Document



by Anne Marie Smith, Ph.D. Content type: Downloads
Category: Big Data Document

Many enterprise information management (EIM) or data management programs don’t live up to their potential and the advent of big data makes the need for enterprise data / information management even more important. EIM is the collection of disciplines (master data management, meta data management, data modeling, data warehousing and business intelligence, data quality, data governance) that enable the understanding and usage of data and information as an enterprise asset.



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