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A Database is a collection of records stored in a computer in a systematic way, so that a computer program can consult it to answer questions. For better retrieval and sorting, each record is usually organized as a set of data elements (facts). The items retrieved in answer to queries become information that can be used to make decisions. The computer program used to manage and query a database is known as a database management system (DBMS).
White Paper Published By: InMage
Published Date: Feb 18, 2009
Replication has become a catchall phrase that while gaining in allure is also gaining in confusion – especially in the mid-tier where data is just as important as the high-end, but IT staffing and budgets are far more limited. IT people as well as vendors have a tendency to lump all data movement functions together as replication, regardless of the method or the reason.
Data deduplication is one of a few standout technologies where the CIO can make an investment which is easy to rationalize and brings a fast payback. This paper explains why data deduplication should be on every CIO's project short list in 2009.
White Paper Published By: Intel Corp.
Published Date: Aug 08, 2012
Evaluator Group worked with HP to access the features, performance and enterprise capabilities of the HP StoreOnce B6200 Backup system. HP labs and equipment were utilized, with testing under the direction of on-site Evaluator Group personnel. Testing focused on validating high availability features, performance, and application integration.
White Paper Published By: Delphix
Published Date: Apr 15, 2011
Learn why Brian Babineau, Vice President of Research and Analyst Services at ESG, recommends the expansion of virtualization initiatives into the data tier to Reduce operating expenses, Improve asset utilization, Cut capital costs and Enable IT agility.
White Paper Published By: InMage
Published Date: Feb 18, 2009
Disaster recovery involves continuous data availability and much more. Companies that understand the key steps to ensuring smooth recovery from a disaster can choose solutions that meet today’s need and tomorrow’s. This white paper explains the five steps that are necessary to develop and implement a disaster recovery plan, and recommends tools, techniques and best practices to make your efforts a success.
Technologies can streamline an existing process (often paper-based in small to medium-size businesses), making the process faster, reviews more effective, goals much clearer, and results easier to track. Leverage more efficient and effective performance and goal management processes in your small to medium-size business by following these FIVE steps.
White Paper Published By: NetApp
Published Date: Sep 19, 2013
Learn about FlexPod Select with Hadoop and how this enterprise class Hadoop has validated, pre-configured components that allow for faster deployment, higher reliability, and smoother integration with your existing applications and infrastructure.
White Paper Published By: Dell Software
Published Date: Feb 19, 2014
Go beyond one-dimensional virtual machine performance. Foglight for Virtualization helps you visualize, analyze and optimize your entire virtual infrastructure health. In this technical brief, learn how Foglight simplifies cross-platform database performance monitoring and management. Read it today.
White Paper Published By: Riverbed
Published Date: Jan 28, 2014
Forrester benchmark data on current state of application availability and performance within the enterprise. In conducting a survey of 159 IT professionals with direct responsibility for business-critical applications, Forrester found that all enterprises surveyed had fundamental issues while managing the performance of these applications and business services. Read the report to learn the key findings of this study.
Industry leaders are engaging in multichannel integration for some very good reasons. More effective cross-channel strategies lead to more satisfied consumers as well as more efficient, more profitable retail operations. In fact, as the survey indicates, consumers expect integrated multichannel experience from their favorite brands.
White Paper Published By: Cloudera
Published Date: Mar 10, 2015
Cloudera has been included as a Challenger in Gartner's 2015 Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics, following last year’s debut as the only included pure-play Hadoop distribution vendor.
Case Study Published By: Zynapse
Published Date: Aug 17, 2010
An exclusive success story of a Fortune 200 enterprise.
Learn how the master data management initiative delivered:
. A unified view of the master data across the enterprise
. Accelerated ROI realization from massive ERP investments
. Inventory optimization by duplicate identification
. Improved operational and process efficiencies
Webinar Published By: IBM
Published Date: Apr 07, 2015
You may be considering the move to a SaaS model for several reasons: it's cheaper, easier, more flexible. But then reality sets in. You can't afford to move to SaaS right away. Many of your apps are too mission-critical to trust SaaS at this point, and security restrictions and company guidelines will not allow you to use SaaS for many apps. However, for some apps, it's not an issue, and that number continues to grow. So how do you reconcile? Enter stage left-- Hybrid APM. With the ability to pick and choose between SaaS or on-premises monitoring for your different applications and components, wherever they reside, your troubles are alleviated and the shift towards SaaS can be seamless.
White Paper Published By: SAP
Published Date: Mar 24, 2011
The list of initiatives that are data-enabled-indeed, data-intensive-vary from company to company, from industry to industry. But the common denominator is an increasing awareness that these and other programs can't succeed without clean, meaningful, and available information. In this white paper, Baseline Consulting's Jill Dyché discusses how the data conversation is changing from philosophical questioning to hard-core tactics, from "What do we need?" to "Where do we start?" It covers the most common reasons for data governance failure, as well as the components of data governance that will inform the right strategy and give companies a means of determining where and how to begin their data governance journeys.