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Business Intelligence (BI)
Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
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Documents related to » bi expensive data warehouse


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

bi expensive data warehouse  required by a traditional BI deployment, thus reducing data latency and speeding up the decision-making process. Some of the advantages of deploying a big data solution include: reducing the decision-making process by reading, analyzing, and giving results faster than traditional solutions collecting information, whether structured, semi-structured, or nonstructured, from disparate sources, and being able to manage it performing data discovery tasks, allowing you to build test scenarios, which is Read More...
Massive Data Requires Massive Measures
One thing we learned in the data warehouse and data management world is that when it comes to the analysis of big data, there is also a lot of big money

bi expensive data warehouse  help SAP complete the BI information cycle with competitive advantages. Mobility capabilities will be a very important part of the next generation of SAP’s analytical applications. IBM and Netezza On September 20 2010, IBM announced that it was about to acquire Netezza , a company based in Marlborough, Massachusetts (US). In a cash transaction worth about $1.7 billion (USD), IBM made an important move to establish itself as a big player in the big data field. Netezza holds a privileged position in the 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

bi expensive data warehouse  deep ingrained belief that BI cannot be conducted without a data warehouse (DW). Indeed, when companies are dealing with a deluge of data, it helps to have a DW, since it offers large corporations the ability to leverage information assets to support enterprise reporting and analysis. DWs also provide a technical solution to the problem of multiple systems, separate data stores, and rapidly expanding historical data, since information is extracted from various transaction-based systems, such as 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

bi expensive data warehouse  should implement a right-sized BI solution without needing expensive consulting services or specialized new hires. Here are some tips for doing so. Software Appliances Look for a BI solution that could accurately be described as a software appliance. I''ve used that term before, as a synonym for prepackaged; what exactly does it mean? Consider your corporate firewall. There are a couple of ways you can go when choosing a firewall—a dedicated firewall software package, which often runs on an OS such as Read More...
The Necessity of Data Warehousing
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding

bi expensive data warehouse  and a number of BI tools for the individual users. A reasonable starting point for this set would be in the range of $100,000. Costs vary greatly based on vendor selection, number of seats purchased, software maintenance fees, and many other factors. In addition, consulting services drive the cost up immensely. A full blown, large-scale data warehouse in the terabyte range with hundreds of user licenses could cost tens of millions of dollars to implement and maintain. Conclusions Data Warehousing has Read More...
Containerized Power and Cooling Modules for Data Centers
Standardized, pre-assembled, and integrated data center facility power and cooling modules are at least 60% faster to deploy, and provide a first cost savings

bi expensive data warehouse  DCIM, data center, data center infrastructure management, DCIM management, DCIM software, DCIM software tools, IT, IT infrastructure, APC by Schneider Electric, facility operations and maintenance, data center facility operations, data center PUE, PUE, containerized power and cooling plants, Containerized Power and Cooling Modules, data center cooling module Read More...
Unified Data Management: A Collaboration of Data Disciplines and Business Strategies
In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration

bi expensive data warehouse  web content management software,database metadata,document metadata,information lifecycle management,metadata software,metadata definition,customer data integration,integration of data,metadata information,photo metadata,data integration services,data integration tools,business data integration,data quality analyst,legacy data integration Read More...
The Value of Big Data
As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity

bi expensive data warehouse  Value of Big Data As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. 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

bi expensive data warehouse  PCI SSC. Its primary responsibility is the formulation and maintenance of a set of standards called the Payment Card Industry Data Security Standard (PCI DSS) . In addition to credit and debit cards, prepaid, e-purse, automated teller machine (ATM) and point-of-sale (POS) cards are all subject to these standards. In its own words, the PCI Security Standards Council describes itself as an open global forum for the ongoing development, enhancement, storage, dissemination and implementation of security Read More...
Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security
Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all

bi expensive data warehouse  Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace. Read More...
BI: On Demand, On Premise, Open Source, or Outsourced?
On-premise or on-demand, business intelligence (BI) solutions can help businesses become more intelligent about key processes. But what are the benefits to

bi expensive data warehouse  benefits to implementing cloud-based BI over traditional software? Are on-demand BI applications as popular in the enterprise as they are with midmarket companies? And what are some reasons people don’t outsource BI? Find out the answers to these questions and more. Download this guide now. Read More...
Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices
This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions

bi expensive data warehouse  private cloud backup,private cloud data management,private cloud,backup software,data protection Read More...
How Companies Use Data for Competitive Advantage
Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage.

bi expensive data warehouse  companies data competitive advantage,companies,data,competitive,advantage,data competitive advantage,companies competitive advantage,companies data advantage,companies data competitive. Read More...
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

bi expensive data warehouse  data quality solution,enterprise information management,enterprise information management strategy,enterprise information management definition,enterprise information management framework,enterprise information management software,data quality maturity,data quality software,open source data quality software,data quality,data quality tools,customer data quality,data quality metrics,data quality management,data quality objectives 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

bi expensive data warehouse  data protection,data backup,disaster recovery,data recovery Read More...

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