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Warehouse Management Systems (WMS)
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...
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Documents related to » expensive data warehouse olap


Best Practices for a Data Warehouse on Oracle Database 11g
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

expensive data warehouse olap  Data Warehouse Lists | Expensive Data Warehouse | Data Warehousing Provides | Data Warehouse Appliance Consists | Data Warehouse Info | Implementing Data Warehouse | Data Warehouse Process | Implementing Real Time Data Warehousing | Data Warehouse System Complete | Data Warehouse EDW | Data Warehouse Architecture EDW | Data Warehouse Concepts EDW | Data Warehousing Information Center EDW | Data Integration Paper EDW | Data Warehouse Software EDW | Data Warehousing Analysis EDW | Data Warehouse Community Read More...
SAP HANA: A Fast Developing “Toddler” - Part 1
It doesn’t take an exceptional industry analyst or market observer to realize that SAP HANA has become one of the pillars of SAP’s future strategy (possibly

expensive data warehouse olap  in-memory rather than on expensive and unwieldy disks (and other storage devices). For more in-depth information on SAP HANA’s thought-leading capabilities, see TEC ’s article entitled  “SAP HANA—One Technology to Watch in 2012 (and Beyond).” The First Anniversary Snapshot In January 2012, SAP HANA became the fastest-growing technology in SAP’s four-decade-long decorated history, and mid-June 2012 the vendor celebrated the product’s first anniversary. In less than a year, SAP HANA has repor Read More...
Attaining Real Time, On-demand Information Data: Contemporary Business Intelligence Tools
Demand for instant access to dispersed information is being met by vendors offering enterprise business intelligence tools and suites. Portlet standardization

expensive data warehouse olap  be content to trade-in expensive and pesky DWs for a data extraction and presentation layer that sits on top of existing transactional systems, but only on the condition that they receive unimpaired performance. As a result, this will make virtual or abolish the intermediary step requiring diverse data sources to be aligned and their terms of use to be agreed upon. Another way to look at the EII approach, somewhat borrows from material management approaches. EAI and ETL can be thought of as push Read More...
In-Memory Analytics: A Multi-Dimensional Study
The primary bottleneck to high-performance multidimensional analysis has been slow hard drive speed—the time it takes for data to be transferred from disk

expensive data warehouse olap  processing of cubes involves expensive I/O operations that read data from sources and write data to disk. Querying engines of traditional OLAP systems also incur the cost of I/O operations to read and cache data. An in-memory solution, on the other hand, eliminates completely both disk space requirements and I/O bottlenecks. All source data required to create multidimensional analytical data is brought into main memory or RAM. Complex queries (both relational and multidimensional) run significantly Read More...
Understanding Business Intelligence and Your Bottom Line
Given that virtually all small and midsized businesses can benefit from business intelligence (BI) tools, the real question is how much of this technology

expensive data warehouse olap  the cost of an expensive OLAP solution. Moreover, the tool should be modifiable by a user without requiring extensive programming skills. Myth #2 '' You really need expensive, industrial-strength analytics to make informed business decisions Make no mistake''having access to an analytics tool can be a very powerful component of your BI plan. Analytics enable end-users to transform data into information, and then get that data into the right hands, at the right time, and in the correct format to facilitate t Read More...
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

expensive data warehouse olap  PCI DSS Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. 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 olap  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...
Warehouse Advantage
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Warehouse Management Systems by the Numbers
When it comes to warehouse management systems (WMS), the stats are both shocking and thought-provoking. And although you don''t see these stats in the marketing

expensive data warehouse olap  Management Systems by the Numbers Warehouse Management Systems by the Numbers Featured Author - Ren Jones - September 22, 2006 Warehouses are built around numbers—from the facility''s square footage, to how many rows of racking it takes to stock the number of stock-keeping units (SKUs), all the way to the amount of orders processed through a facility in a day. This article takes the numbers associated with warehouse management systems (WMS) you don''t see in the marketing brochures or Read More...
Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

expensive data warehouse olap  Data Science as a Service (DaaS) With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white pa Read More...
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

expensive data warehouse olap  Masking: Strengthening Data Privacy and Security Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you. Read More...
Next-generation Data Auditing for Data Breach Protection and Risk Mitigation
Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation

expensive data warehouse olap  generation Data Auditing for Data Breach Protection and Risk Mitigation Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system. Read More...
Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge

expensive data warehouse olap  Quality: A Survival Guide for Marketing Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. Read More...
A Solution to Data Capture and Data Processing Challenges
Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the

expensive data warehouse olap  Solution to Data Capture and Data Processing Challenges Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems. 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 olap  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...

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