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Documents related to » expensive data warehouse bi


About Big Data
There may not be a consensus with respect to just how big

expensive data warehouse bi  warehouse can rapidly become expensive as the data volume increases. Scaling a data warehouse can be a burden when you’re dealing with such volumes. Meanwhile, some big data providers can produce solutions not only that are cheaper from the get go, but which can be escalated, adapted, and modified as required. Open source solutions—such as NoSQL—have also played an important role in the big data movement, forcing market prices to stay down. The Players As with any other segment in the software Read More...
Access to Critical Business Intelligence: Challenging Data Warehouses?
There is a perception that if business users are given access to enterprise databases and raw query tools, they will create havoc in the system, which is a

expensive data warehouse bi  can be far less expensive, while adequately effective, than building and maintaining a redundant DW. Further, the IT management costs of tuning the transaction database are likely less than the cost of the ongoing maintenance required by a DW, which becomes a mission on its own, to a degree that the enterprises even forgot the original purpose of the DW. Part Six of the Business Intelligence Report Status Quo series. Improving the DW Model When the DW model was conceived, it was believed that it was Read More...
How to Evaluate Web-based BI Solutions
Web-based business intelligence (BI) is no longer an anomaly: organizations are ready for BI solutions that go beyond Web portals. However, when selecting Web

expensive data warehouse bi  less invasive, and less expensive ways to benefit from reporting and analytics. Although most organizations implement traditional BI applications, use of the Internet to collaborate and to deliver reporting and OLAP is already a main element of software deployments. As the demand for Web 2.0, software as a service (SaaS), service-oriented architecture (SOA), and hosted applications has increased, organizations are increasingly examining Web-based applications. There are two approaches to Web-based BI Read More...
Achieving Business Intelligence (BI) in Midsize Companies
Like many of today’s IT decision makers, you may be considering a business intelligence (BI) solution for your midsize company. But how do you go about adding

expensive data warehouse bi  It means no lengthy, expensive customizations required. In the world of BI solutions, prepackaged solutions designed to fit a midsize company are the best way to implement BI. Frankly, even huge enterprises would use prepackaged BI solutions if they had the option—they''d save a fortune and a lot of time. This is an advantage that midsize companies can capitalize on: The ability to use a prepackaged BI solution brings you big-company power without the big-company price or time commitment. We''ve covered Read More...
Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

expensive data warehouse bi  than having to buy expensive equipment. Amazon, Google and Microsoft are the most prominent firms to make their massive computing infrastructure available to clients. As more corporate functions, such as human resources or sales, are managed over a network, companies can see patterns across the whole of the business and share their information more easily. A free programming language called R lets companies examine and present big data sets, and free software called Hadoop now allows ordinary PCs to 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

expensive data warehouse bi  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 Read More...
Understanding the PCI Data Security Standard
The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a

expensive data warehouse bi  the PCI Data Security Standard MessageLabs Hosted Web Security and Content Filtering service operates at the Internet level, intercepting viruses, and spyware. Source : MessageLabs | Now part of Symantec Resources Related to Understanding the PCI Data Security Standard : Payment Card Industry Data Security Standard (PCI DSS) (Wikipedia) Understanding the PCI Data Security Standard Data Security is also known as : Data Security Architecture , Data Security Articles , Data Security Audit , Da Read More...
Oco’s
Last week my peer, Russell Cooper and I completed a successful certification of Oco Software’s business intelligence (BI) solution. Oco was represented by

expensive data warehouse bi  Canned BI Solutions: A New Way to Look at BI Last week my peer, Russell Cooper and I completed a successful certification of Oco Software’s business intelligence (BI) solution. Oco was represented by Jacques Hebert, the senior technical business analyst and marketing representative. Oco''s products are such that the client does not need to add support staff, because they deliver cost effective “out-of-the-box” or canned functionalities. The solutions, developed over the years, are the Read More...
Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

expensive data warehouse bi  Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. Read More...
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data

expensive data warehouse bi  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More...
Logs: Data Warehouse Style
Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources

expensive data warehouse bi  Data Warehouse Style Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled speed and efficiency. Read More...
Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

expensive data warehouse bi  from the Ground Up: Launching Your Data Governance Initiative Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys. Read More...
Understanding BI: The Top 10 Business Questions That Drive Your BI Technology Requirements
Read this white paper to learn the questions you should be asking to determine your business intelligence technology requirements and better understand your BI

expensive data warehouse bi  Birst white paper, BI white paper, BI technology needs, BI technology requirements, BI tech, understanding BI Read More...
Warehouse Control Systems: Orchestrating Warehouse Efficiency
You’re probably already familiar with the role of a warehouse management system (WMS). But a warehouse control system (WCS)? In your warehouse, a WCS can play

expensive data warehouse bi   Read More...
Business Intelligence Portal (BI Portal) : Business Intelligence (BI) Competitor Analysis Report
This business intelligence (BI) knowledge base covers a full range of BI functionality. BI applications enable real time, interactive access, analysis, and

expensive data warehouse bi  Intelligence Portal (BI Portal) : Business Intelligence (BI) Competitor Analysis Report This business intelligence (BI) knowledge base covers a full range of BI functionality. BI applications enable real time, interactive access, analysis, and manipulation of mission-critical corporate information. BI users are able to access and leverage vast amounts of information to analyze relationships and understand trends that support business decisions. This knowledge base covers everything from data Read More...

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