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Logs: Data Warehouse Style

Source: LogLogic
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.


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QlikTech
QlikTech’s powerful, accessible business intelligence solution enables organizations to make better and faster decisions. Its QlikView product delivers enterprise-class analytics and search with the simplicity and ease of use of office productivity software. The in-memory associative search technology it pioneered makes calculations in real time, enabling business professionals to gain insight through intuitive data exploration. It can be deployed on-premise, in the cloud, or on a laptop or mobile device, for a single user or large global enterprises. QlikTech is headquartered in Radnor, Pennsylvania (US), with offices around the world and a network of more than 1,400 partners to serve more than 28,000 customers in over 100 countries worldwide. Read More...
Teradata Extreme Data Appliance
Source: Teradata Teradata Extreme Data Appliance analyzes massive amounts of big data and leverages Teradata technology at the lower cost per unit of data that matches your volume-based value needs. This purpose-built data appliance allows you to gain deep strategic insights from extremely large amounts of detailed big data and supports very high-volume, non-enterprise data/analysis requirements for a small number of power users in specific workgroups or projects that are outside of your enterprise data warehouse.     Read More...
Warehouse Management Systems (WMS)
Source: Technology Evaluation Centers A warehouse management system (WMS) should provide database and user-level tools in order for a company to optimize its storage facilities while at the same time providing user level task direction and activity support. The WMS should enable warehouse operators to optimize pick, put-away, and replenishment functions by employing powerful system logic to select the best locations and sequences. Read More...


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Best Practices for a Data Warehouse on Oracle Database 11g
Source: Oracle Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW performs and scales well, you need to get three things right: the hardware configuration, the data model, and the data loading process. Learn how designing these three things correctly can help you scale your EDW without constantly tuning or tweaking the system. Read More...
Spend Data Warehouse “On Steroids”
Source: Zycus It’s only lately that people have been questioning the value of information they’re able to garner from within “spend data” warehouses. Why can t we leverage traditional tools to give the sourcing and purchasing community what they want? To understand the limitations of traditional data-cleansing technology, and why spend data necessitates special algorithms, we need to start with the basics. Read More...
The Data Warehouse RFP
Source: Baseline Consulting If you don’t have a data warehouse, you’re probably considering drafting a request for proposal (RFP) to screen vendors and ensure that your receive satisfactory information about the features of various hardware and software and their price. Writing an effective RFP that is well structured and includes different metrics will ensure that you receive the information you need and will make you look good. Read More...

 
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