X
Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
Get free sample report

Compare Software Solutions
Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
Compare Now
 

 comment technical data

Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Core PLM--Product Data Management - Discrete RFI/RFP Template

Product Data Management (PDM), Engineering Change Order and Technology Transfer, Design Collaboration, Process and Project Management, Product Technology  

Evaluate Now

Documents related to » comment technical data

Guidelines for Specification of Data Center Power Density


Conventional methods for specifying data center density don’t provide the guidance to assure predictable power and cooling performance for the latest IT equipment. Discover an improved method that can help assure compatibility with anticipated high-density loads, provide unambiguous instruction for design and installation of power and cooling equipment, prevent oversizing, and maximize electrical efficiency.

comment technical data  center Data Value Units Comment Total IT racks available 28 # Some of the space in the data center is consumed by power and cooling equipment Total initial power requirement 47 kW At least 47 kW of power and cooling equipment must be installed initially. Using Figure 1, based the density of Row 1, 2 and 3, the number of IT racks spaces available is 6, 4, and 5 respectively (6 x 2 kW / rack + 4 x 5 kW / rack + 5 x 3 kW / rack = 47 kW) Total final power requirement 104 kW The remainder of the power and Read More

Thinking Radically about Unstructured Data: Interview with Ron Carrière, CEO of Cirilab


Being able to manage unstructured text is no longer a “nice to have,” as companies and individual users alike have to deal with increasing amounts of unstructured text, work with it, and gain knowledge by interpreting it. Cirilab is a company that provides software products to search, retrieve, and categorize information from unstructured text sources. Read this interesting interview with Ron

comment technical data  welcome your thoughts—leave a comment below, and I’ll respond as soon as I can. Ron Carrière, CEO, Cirilab Mr. Carrière''s career has included responsibilities as a professional engineer in senior positions at technical and management levels in public and private organizations. He has extensive hands-on experience in hi-tech start-up companies. He was founding CEO of ACDS Graphic Systems Inc. from 1983 to 1988, where he led a multimillion dollar Initial Public Offering (IPO) and stewarded ACDS Read More

TurtleSpice ERP! (Week 5)


Welcome to Episode 5 of TurtleSpice ERP, our virtual ERP selection simulator! We’re following one company’s software selection process, from beginning to end—with a twist: It’s up to you to make sure comptroller Mike Chelonia stays on track and selects the right ERP system for the company. Cast your vote, and next week I’ll move the scenario forward based on the winning answer

comment technical data  shoes ? (Feel strongly? Comment below!) Voting is now closed for this episode.  Find out what happened next ! Want to read more about IT failures before deciding? IT Catfight in Portland 15 Non-technical Reasons IT Projects Fail When Bad Things Happen to Good Projects 8 Expensive IT Blunders Project Failure: The Numbers, Why, and What It Means How to Kill Your Software Selection Project in 10 Very Easy Steps 4 Ways to Botch Your ERP Implementation Process Note: This scenario has been created for Read More

info360: Our Panel of Experts


From March 21 to 24, 2011, Technology Evaluation Centers (TEC) will be at info360 in Washington, D.C. I will be teaming up with a panel of experts to discuss business intelligence (BI) and its role in analyzing unstructured data. Join us on March 23 for the TEC session—What Do I Get Out of BI?: The Role of Business Intelligence in Your Content Strategy. You can register at the info360 Web site.

comment technical data  participate by leaving a comment here: Do you have any specific questions for our experts? I have the honor of presenting our session panelists: Ian Hersey Chief Technology Officer, Attensity To his role as Attensity CTO Ian Hersey brings more than 20 years of experience delivering innovative research technology into the commercial mainstream. He is responsible for providing the technical and strategic product vision to complement the company’s business vision, setting the tone and direction for Read More

Avoiding the Four Data Display Pitfalls in Dashboard Design


Presenting data and results is one of the fundamental stages of every business intelligence (BI) or business performance (BPM) deployment. Data is also important when adopting a new solution, and for the overall success of a BI project—even when the project stage does not represent any major technical challenge. A dashboard is the main screen by which end users, executives, managers,

comment technical data  and questions. Leave a comment below and I’ll respond as soon as I can. Read More

Deploying High-density Zones in a Low-density Data Center


New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center. The independence of these high-density zones allows for reliable high-density equipment operation without a negative impact on existing power and cooling infrastructure—and with more electrical efficiency than conventional designs. Learn more now.

comment technical data  High-density Zones in a Low-density Data Center Deploying High-Density Zones in a Low-Density Data Center If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Together, APC’s global teams work to fulfill their mission of creating delighted customers. To do this, the Company focuses its efforts on four primary application areas: Home/Small Office; Business Networks; Data Centers and Facilities; and Access Provider Networks. Source 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 technology selection and access to historical 'legacy' data are also discussed.

comment technical data  etl data,data warehouse etl,etl software,data warehousing etl,etl technology,etl solutions,extract transform load,data integration,etl system,intranet software,etl process,the data warehousing institute,data warehouse and business intelligence,data warehousing and business intelligence,data warehouse training Read More

Streaming Data and the Fast Data Stack


Big data is data at rest; fast data is streaming data, or data in motion. A stack is emerging across verticals and industries for building applications that process these high velocity streams of data. This new stack, the fast data stack, has a unique purpose: to grab real-time data and output recommendations, decisions, and analyses in milliseconds.

This white paper will look at the emerging fast data stack through the lens of streaming data to provide architects, CTOs, and developers with fundamental architectural elements of the new fast data stack: a LAMP stack for streaming data applications.

comment technical data  big data, data stack, fast data, fast data stack, streaming data applications, VoltDB Read More

The Operational Data Lake: Your On Ramp to Big Data


Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can't handle the volume of data that has become a matter of fact for businesses today.

This white paper discusses the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated ODSs. Companies that are building a use case for big data, or those considering an upgrade to their ODS, may benefit from this stepping stone. With a Hadoop relational database management system (RDBMS), companies can expand their big data practices at their own pace.

comment technical data  Operational Data Lake: Your On Ramp to Big Data Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance 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. 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.

comment technical data   Read More

Data Warehousing in the Big Data Era: Are You BIReady?


Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become "BI ready."

comment technical data  data warehouse, data warehouse automation, BIReady, BI, business intelligence, big data, DWH, BI automation, analytics, EDW 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 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.

comment technical data   Read More

Agile Data Masking: Critical to Data Loss Prevention and Threat Reduction


Over the past several years data loss and data leaks have been a regular part of headline news. This surge in data leak activity has prompted many organizations to reevaluate their exposure to data leaks and institute automated, agile approaches to data masking. Well-implemented data masking secures data delivery and enhances compliance and security while accelerating data management processes.

comment technical data  data masking, data security, information security, data leak, hack, data loss, DLP, data leak prevention Read More

Data Visualization: When Data Speaks Business


For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

comment technical data  data visualization, IBM Cognos Business Intelligence, business intelligence, data delivery, data visualization best practices Read More