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COG-706 IBM Cognos fiscal Statement Reporting Developer

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COG-706 exam Dumps Source : IBM Cognos fiscal Statement Reporting Developer

Test Code : COG-706
Test title : IBM Cognos fiscal Statement Reporting Developer
Vendor title : IBM
: 60 existent Questions

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IBM IBM Cognos fiscal Statement

Certent acquires IBM finance and management items | existent Questions and Pass4sure dumps

No influence found, try unusual keyword!received items: IBM Cognos Disclosure administration, Cognos Disclosure administration on Cloud, Cognos fiscal route Reporting, and readability 7, a corporate administration product.

Datawatch Monarch for IBM Watson Analytics and IBM Cognos Analytics Now accessible | existent Questions and Pass4sure dumps

can also 10, 2016 08:fifty five ET | source: Datawatch service provider

BEDFORD, Mass., can also 10, 2016 (GLOBE NEWSWIRE) -- Datawatch corporation (NASDAQ-CM: DWCH) nowadays introduced the instant availability of Datawatch Monarch for IBM Watson Analytics and IBM Cognos Analytics. past this 12 months, Datawatch published that IBM (NYSE: IBM) would resell Datawatch Monarch to convey superior and quicker records access and self-provider data preparation (prep) to its clients. dawn nowadays, those users can leverage Monarch to prep less, anatomize greater and harness the punch of IBM’s cognitive computing capabilities across the widest sweep of records sources.

statistics that offers the most analytical value has historically been locked away in in the past inaccessible multi-structured and unstructured files, corresponding to textual content stories, net pages, PDFs, JSON and log info. And, in lots of situations, an organization’s supply statistics is diverse and infrequently items itself in an evaluation-equipped layout. subsequently, hours are spent on sheperd facts retrieval and prep procedures.

The Datawatch Monarch self-carrier records prep solution makes it possible for statistics analysts and universal commerce users to unexpectedly access, exploit and mingle facts from basically any source. statistics can then exist prepared for analysis in Watson Analytics and Cognos Analytics in a fraction of the time that it takes the usage of spreadsheets and different manually-intensive measures.

“the vast majority of strategic enterprise decisions are made on incomplete or outdated tips, due to records retrieval challenges and time-intensive sheperd prep strategies,” spoke of Michael Morrison, president and CEO of Datawatch. “here's an unlucky reality given the strike these choices can occupy on a company’s final analysis and boom abilities. Monarch allows for Watson Analytics and Cognos Analytics users to acquire not only the confiscate counsel, however total the suggestions, required to attain a holistic view of the company, after which without problems and abruptly set together it for evaluation. instead of spend hours on mundane prep work, clients can now devote their time to performing evaluation that quickens resolution making and drives commerce value.”

IBM VisionDan Potter, Datawatch’s chief marketing officer, is scheduled to latest on unusual advances in self-provider statistics prep on the upcoming IBM vision convention in Orlando, Florida. Potter will dispute how self-provider facts prep permits users, chiefly these in monetary and operational efficiency management, to leverage a much broader sweep of information, and gleam faster and more accurate results. He’ll additionally expose how an optimized facts file will also exist organized for direct import into Watson Analytics and Cognos Analytics. Potter’s session will elevate vicinity on Wednesday, might also eleven, at 11 a.m. ET.

To exist taught more about Datawatch Monarch for Watson Analytics and Cognos Analytics, fade to:

About Datawatch CorporationDatawatch organisation (NASDAQ-CM: DWCH) allows typical clients to obtain magnificent outcomes with their facts. simplest Datawatch can unlock statistics from the widest diversity of sources and set together it for utilize in visualization and analytics tools, or for different company techniques. When real-time visibility into total of a sudden altering data is essential, Datawatch additionally permits users to anatomize streaming information, even within the most worrying environments, similar to capital markets. companies of total sizes in additional than 100 nations global utilize Datawatch items, together with ninety three of the Fortune one hundred. The enterprise is headquartered in Bedford, Massachusetts, with places of travail in vast apple, London, Frankfurt, Stockholm, Singapore and Manila. To study greater about Datawatch or download a free edition of its commerce utility, please visit:

secure Harbor statement below the deepest Securities Litigation Reform Act of 1995Any statements contained during this press unencumber that don't recount historical information may additionally constitute forward-searching statements as that term is defined within the deepest Securities Litigation Reform Act of 1995. such a statements contained herein, together with but now not constrained to these relating to product performance and viability, are in response to current expectations, however are realm to a pair of dangers and uncertainties that may antecedent precise outcomes to vary materially from expectations. The elements that may antecedent actual future effects to vary materially from current expectations consist of here: swift technological change; Datawatch’s dependence on the introduction of latest items and product enhancements and viable delays in those introductions; acceptance of latest products through the market, competition within the application commerce commonly, and within the markets for next generation analytics in selected; and Datawatch’s dependence on its major products, proprietary software expertise and software licensed from third parties. additional assistance on factors that could antecedent precise outcomes to disagree from those predicted is several in a variety of publicly-available files, which consist of, however don't appear to exist restrained to, filings made by using Datawatch now and again with the Securities and exchange commission, including however no longer limited to, these acting in the enterprise’s Annual report on form 10-okay for the yr ended September 30, 2015. Any ahead-searching statements may quiet exist regarded in mild of those components.

© 2016 Datawatch organization. Datawatch and the Datawatch brand are trademarks or registered logos of Datawatch organization within the united states and/or different nations. total other names are emblems or registered emblems of their respective organizations.


Media Contact: Amanda Beaupre advertising and marketing Communications supervisor, Datawatch 978-275-8387 Twitter: @datawatch

IBM Cognos main the manner for great data analytics | existent Questions and Pass4sure dumps


IBM has several utility company intelligence products together with Cognos Analytics (previously Cognos company Intelligence), Cognos TM1, Cognos express, and Cognos Disclosure management. IBM Cognos enterprise Intelligence entrance-end can connect with SAP for HANA integration from IBM Cognos onwards through JDBC facts supply connectivity (IBM, n.d.). established in 1966, Jabil Circuit, Inc is likely one of the biggest electronic accessories manufacturing services establishments overlaying a wide-range of enterprise areas reminiscent of provide chain administration, digital circuits, design engineering, logistics, telecommunications, and semiconductor accessories for computing. GE is without doubt one of the biggest clients for Jabil Circuit (Universe, n.d.).

historical past of the problem

organisations want ultimate mile statistics analytics on their monetary operations. After performing procurement of substances, construction of accomplished goods, inventory administration, deliver chain administration, growing revenue orders, deliveries, transportation administration, superior delivery notifications, shipping, managing instruments administration, invoice creation, finally the enterprise has to operate the fiscal shut taking the sophisticated facts from the disparate records sources of the aforementioned company procedures. In an enterprise useful resource Planning equipment, total of the above commerce strategies are unified in one database with a structured layout. youngsters, companies conducting the enterprise transactions in several database programs and spreadsheets will ought to spend a number of hours to bring together the records to consolidate the commonplace ledger postings, money circulation, and money flood (Srilu, 2013).

The records that comes into surpass spreadsheets may additionally not occupy validation system to check the enter of the values except checking numeric, alphanumeric combos. There is no ordinary pre-described configuration install in surpass Spreadsheet migrated from yet another system. this can create problems for a corporation to consolidate and migrate the information from surpass spreadsheets into economic statements for every month end. surpass spreadsheets can drastically decelerate the enterprise boom and the revenues of the commercial enterprise. If the commerce can not visualize the earnings and regional breakdown of the key efficiency warning signs, they aren't in a position to predict the expand route for the next quarter or subsequent month. this can occupy an sequel on deliver chain operations, advanced planning optimization, and company network collaboration, company network planning. in the conclusion, the corporation will endure losses. Jabil was plagued by these basic issues to shut the finance of the companies on time (Thomson, 2012).

Key options

Jabil applied IBM enterprise Analytics, IBM Cognos enterprise Intelligence, IBM Cognos enterprise standpoint, IBM Cognos Controller, and IBM Cognos TM1 to beat the economic shut conundrums. IBM company Analytics includes a bevy of analytics options for corporations.

clever and Intuitive Analytics

Jabil applied IBM Cognos Analytics, the right arm of IBM commerce Analytics company Intelligence Analytics. The retort from Cognos Analytics presents the fiscal enterprise groups to create the analytics studies on their own. they can access the statistics points from BI Analytics through several sources, and with elementary drag and drop concepts they could build the self-serviceable experiences. company groups can entry IBM Cognos even when they are mobile or operating browser-based mostly rig on the information superhighway. Streamlined workflow offers a number of notifications for the corporation teams to action their selected projects (IBM, n.d.).

business Key efficiency symptoms

IBM enterprise performance administration gives the insights to measure the performance of the commerce in entirety by means of bridging the gaps found between the provide chain management operations and the monetary closing of the corporate books. It offers alternatives to build advanced planning for the company to contain techniques to task the trends of the statistics into the long race by using looking at the used patterns of the statistics in each company community. This gives forecasting for deliver chain operations to fabricate the products into the marketplace for various segments and shoppers. corporations that can leer at the premonitory watch indicators notifications and traits can set the tempo for commerce boom for every quarter to parade the records insights into revenues. EPM can also video parade the undertaking plans constructed with particular fiscal budgets for a bevy of a portfolio of mission options spanning a pair of items to establish a knowledge-pushed corporation. The scorecards of EPM also suggests the areas where the felony and regulatory requirements for the enterprises in getting ready the fiscal statements (IBM, n.d.).

Definitive Analytics

IBM Prescriptive Analytics performs diagnosis on the employer typical performance with strategic management innovations. The diagnosis leads to offering counseled options to explain, occupy a leer at, record, and act. company workflow optimization drives automation of some decisions. C-level executives can control the enterprise-oriented decisions. These choices can doubtlessly arise on reviewing the brand loyalty of the shoppers related to selected items for both launching a brand unusual product or expand an present product within the company. The prescriptive evaluation also can faucet into the localization of the movements organized with the aid of the company catering a bevy of aboriginal markets (IBM, n.d.).

Presaging Analytics

IBM commerce Intelligence gives predictive analytics for performing remaining mile facts mining analytics via wrangling the information with exploratory strategies to elevate into account the company views from quite a lot of key efficiency indicators of company strategies spawning from deciding to buy the raw materials via fiscal close. firms need insights to plot at the least 18 months ahead of their advanced planning optimization for deliver chain administration approaches. This can also exist performed through a few forecasting fashions and utilized statistical strategies on the information and glean the statistics via text-primarily based analytics to create fashion-based models for the longer term. This helps to predict and forecast the variety of products to launch on the industrial shelves for each retailer in the market with who Jabil is conducting the enterprise transactions. essentially, Jabil manufactures digital components to bring together various digital devices, telecommunication, and network gadget. This requires granularity of the market trends and the predictive analytics also can hook as much as connect with R language for leveraging any extra statistical programs. IBM’s Apache Spark can office the analytics in-memory in contrast to Apache Hadoop that places IBM ahead of the pack on file-based mostly programs. Integration of Apache Spark with IBM predictive analytics and R can enhance the gadget further (IBM, n.d.).

Governance, Compliance, and desultory administration

corporations performing companies throughout the globe need to meet regulatory compliance requirements when buying and selling with different nations. The hazards can arise from the tax laws or customs obligations levied by other international locations throughout the globe. To stability the exchange dangers, the company transactions conducted within the commerce resource planning gadget or via dissimilar database systems deserve to exist audited. IBM has the analytics solutions for managing the chance. The possibility administration analytics will scan in the course of the database of the supplier and find out the risks involved via true-time analytics for understanding the ever-increasing hazards in the transactions (IBM, n.d.).

though, Jabil implemented not the entire above options. despite the fact, a majority of the IBM Analytics options had been carried out. The merits derived with the aid of Jabil via IBM Analytics options supplied miraculous insights to achieve the operational excellence for fiscal nigh and manufacturing plant life to race their company successfully. The retort will also exist utilized to several different industries which are within the manufacturing of semiconductor, high-tech, telecommunications, storage contraptions, and network equipment. The manufacturing procedure includes a specific manner mannequin to prepare the built-in design of the circuits and chips. The master statistics management built by means of Jabil through their analytics, and commercial enterprise performance administration to parade screen the well-known thing efficiency symptoms may also exist utilized to numerous different industries which are under an analogous category. The success of Jabil will also exist a possible probability for leisure of the industries in that section to keep in response to the requirements analysis and implementation of Jabil.


IBM (n.d.). Cognos Analytics. Retrieved November 9, 2015, from

IBM (n.d.). Cognos company Intelligence 10.2.1. Retrieved December 28, 2015, from!

IBM (n.d.). commercial enterprise performance management. Retrieved November 9, 2015, from

IBM (n.d.). Predictive Analytics. Retrieved November 10, 2015, from

IBM (n.d.). Prescriptive analytics. Retrieved November 9, 2015, from

IBM (n.d.). desultory management. Retrieved November 10, 2015, from

Srilu (2013). SAP modules overview and company procedures. Retrieved November 9, 2015, from http://www.slideshare.web/srilu999/sap-modules-overview-and-enterprise-procedures

Thomson, S. (2012). IBM Analytics gives Jabil more suitable insight Into economic performance. Retrieved November 9, 2015, from

Universe, F. (n.d.). Jabil Circuit, Inc. historical past. Retrieved November 9, 2015, from

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IBM Cognos fiscal Statement Reporting Developer

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Certent acquires IBM finance and management products | existent questions and Pass4sure dumps

No result found, try unusual keyword!... disclosure management and report as well as equity compensation tools. Acquired products: IBM Cognos Disclosure Management, Cognos Disclosure Management on Cloud, Cognos fiscal Statement Report...

Ten unusual Features for Report Users in IBM Cognos 10 Report Studio | existent questions and Pass4sure dumps

Instead of just focusing on the major features of IBM Cognos 10 Report Studio, Roger Johnson, coauthor of IBM Cognos 10 Report Studio: Practical Examples, looks at some lesser-known tools and protest properties to further enhance your Report Studio projects. From the author of 

The biggest additions to IBM Cognos Report Studio in version 10 occupy been vigorous Reports and Statistics objects. These two unusual ways of presenting data provide many unusual options for report authors to create reports that match the analytical needs of the user community. Entire classes occupy been created to focus on the creation of reports using these formats.

Other capabilities in IBM Cognos 10 Report Studio include the integration of external data sources and the skill to reclaim Report Studio reports to exist used directly by commerce Insight Advanced authors. Using external data sources in Report Studio has been a customer request since IBM Cognos tools moved to a web-based architecture. This enhancement gives the report consumer unusual opportunities to process just the information needed for a specific situation. By using a common report definition between applications, users who aren't accustomed to complex reports can receive assistance to build reports that occupy features beyond those normally available to commerce Insight Advanced users.

While the features I've discussed to this point are promoted as key features, other useful options in version 10 will expand the effectiveness of reports to your users. Some of these features were previously available through complex programming by the report developer, but IBM Cognos commerce Intelligence now makes this job much easier. As a report writer and instructor who can esteem the skill to create report designs designed to order a story, I want to highlight 10 of these unusual features.

Alternative Text

The Alternative Text property has been added to graphical objects, such as images and charts, to allow screen readers to translate the text (see device 1). Another aspect of this feature that's applied in various properties is to provide localized text without using conditional formatting.

Colored Regions, Plot district Fill, Material Effects

The Colored Regions, Plot district Fill, and Material Effects properties allow charts to occupy more creative designs in order to enhance the overall presentation of the charts. Mixed with other chart presentation options, these features advocate report developers to give unusual polish to the presentation of content. device 2 shows the additional gradient options that are now available, along with the unusual properties for the charts.

New Gradient Fill Types

Moving beyond simple linear gradients, some unusual fill types provide more choices for enhanced presentations. Backgrounds behind pages, objects, and selected areas can now parade a number of gradient designs. The fill types include rectangular frames and embedded circular gradients, with many parameters to customize the blending of colors (see device 3).

Chart Combinations (Primary Axis, Secondary Axis, Primary Bottom, Secondary Bottom)

IBM Cognos 8 commerce Insight had the skill to set Y1 and Y2 axes. Now combination charts can exist stacked with two more axes for better analysis of related numbers. These options can exist integrated into dashboard design to enhance the presentation of related measures. device 4 shows a chart with the additional axes selected.

Query Calculations in Query Explorer supplant Calculated Member, Calculated Measure, Set Expression, and Intersection (tuple)

In IBM Cognos 8 Report Studio, different objects were created for each of the dimensional functions. Now they're total bundled into the Query Calculations (see device 5). This option simplifies the toolbox for report authors, while emphasizing that dimensional queries can occupy enhanced calculations.

Summarize minuscule Slices and Exploded Slices

With pie charts, two improvements include summarizing minuscule slices and exploding slices. These two options greatly improve the presentation of pie charts to emphasize the most well-known information (see device 6). In my classes, these options occupy been requested for years, and now they're delivered in this release.

Trendlines, Category Baselines, and Numeric Baselines

Report Studio functions occupy now improved on the predictive skill behind charts, without having to utilize external functions to compute the numbers (see device 7).

Series Color Synchronization

With the changes made to enhance series, this feature allows report writers to simplify the legends when the succession information is repeated across the combinations. By changing the succession Color property to Match (see the short arrow in device 8), the legend shows the different product lines and the nested measures differently (indicated by the longer arrow), increasing the effectiveness of the presentation.

Custom Properties for Prompts

Several unusual properties occupy been added to enhance the prompt options. These changes allow report developers to create customized prompt options without the additional JavaScript programming required in earlier versions. Most of the prebuilt text labels with these prompts can exist customized to meet the needs of individual reports (see device 9).

Dimensional Set Definitions

As a welcome addition to dimensional functions, the Set Definition option (see device 10) allows report authors to create complex subsets that are presented graphically. This feature can produce troubleshooting complex sets much easier by providing a more modular approach to set development. This was the best unusual property for me, since it simplifies the progress of sets that had to exist plenary of nested functions.

Using vast Data to Fight Fraud | existent questions and Pass4sure dumps

Posted April 18, 2013 By Drew Robb     Feedback

While vast Data can exist useful in fighting fraud, traditional commerce intelligence tools aren't much help.

If it was smooth to detect fraud, there wouldn’t exist much of it around. But these days, the sheer volume of information being generated makes it more difficult than ever to detect.

“Organizations today typically occupy a fragmented approach to dealing with security and fraud risks, which leaves them vulnerable to even more attacks as criminals are quick to find and exploit any points of weakness,” said Ellen Joyner-Roberson, global marketing principal at SAS Security Intelligence Solutions. “As a result, security risks and fiscal crimes are increasing dramatically due to a infirm global economy, growth in organized crime and the increasing sophistication of fraudulent schemes.”

Not Your accustomed Analytics

Unfortunately, many current analytics systems finish not advocate robust analytical modeling, making it difficult to process and anatomize information swiftly enough to produce a difference. Different departments often occupy disparate data sources and processes, so it’s tough to spot suspicious activity across the enterprise.

In addition, there is a constant struggle to equilibrium tougher anti-fraud efforts with a suitable customer experience. If vendors cease more transactions that are suspicious in an attempt to reduce fraud losses, they may arouse customers trying to complete legitimate transactions.

Banking, insurance, government, health keeping and retail are obvious targets for con artists. The banking industry, for example, has a vast problem with identity theft and account takeover. There, it is faultfinding that decisions are made in existent time at the point of sale, which requires a monitoring and analytics approach that can instantly model for behavior changes and cease that transaction without getting it wrong too many times.

Due to such demands, the consensus is that traditional commerce intelligence (BI) isn’t sophisticated enough. It needs to exist backed up by domain-embedded rules and adaptive analytics that can exist tailored to different types of fraud or fiscal crime. Context also plays a vital part, and integrating contextual information from mobile apps and other channels can heighten success. And geospatial and velocity data capture at transaction origination should exist backed up by decision making in existent time.

“To fight fraud before it causes fiscal losses, companies are using real-time interdiction (definition: to enjoin or debar) capabilities wherever they can, and with raw response times under 200 milliseconds,” said Joyner-Roberson.

Her company developed SAS Security Intelligence to address this market. It comprises various SAS products to address fraud and indecorous payments, regulatory compliance and security. This includes SAS Fraud Management, SAS Network Analytics, SAS fiscal Crimes Suite and SAS Fraud Framework.

SAS Security Intelligence takes an enterprise approach to data management and consolidation, combining data integration, data property and master data management into a unified environment that brings together cross-channel enterprise data on a sole platform. It has the skill to score and decision total transactions in real-time and intercept suspect deals.

Haystacks, Needles and vast Data

Big Data only magnifies the problems inherent in tracking down wrongdoers. Just how finish you deal with capturing, processing, and storing massive amounts of real-time data so you can learn and accommodate to changing behavior patterns?

“The needle in the haystack analogy is particularly confiscate for fraud detection due to the minuscule amount of fraud compared to the total of legitimate Web traffic,” said Jesse McKenna, head of Threat Research for Silver Tail Systems, RSA. “However, as fraud patterns constantly shift and evolve, so does the needle you are looking for. Today it may exist a needle, tomorrow a pushpin or a nail.”  

The challenge is that you don’t know exactly what you are looking for other than it will exist different than the repose of the pile. While vast Data means you may exist able to derive more insights, finding the meaningful data and pile detection algorithms that aren't brittle and won't quickly become impertinent takes a deep understanding of fraud.

That’s where behavioral analytics and adaptive detection methods become important. You need ways to sequester what is different that you may occupy never seen before.

Analytics apps also occupy to exist of value to fraud investigators, who are the ones with the taste of the existent world. Machines can sear through the data mountain to locate unusual occurrences, but they are nowhere near as suitable as people at evaluating and understanding context. Therefore, the app has to facilitate the people or fraud units it serves, not tribulation them with delays or lengthy procedures.

RSA’s Silver Tail Systems product suite (consisting of Forensics, Mitigator, and Profile Analyzer tools) provides behavioral analytics, real-time custom rules and mitigation capabilities, as well as a forensics interface for performing investigations.

For example, by monitoring the details of every HTTP/S request that is sent to a website, it learns what prevalent behavior looks dote for the website and can then identify criminal behavior and alert the confiscate teams for investigation. Alternately, it can communicate with other network devices to redirect or terminate the Web session in real-time.

User-based behavioral analytics (in addition to the population-based ones) helps identify when a particular user is deviating from their prevalent behavior, as is the case with many fraud and account compromise scenarios.  

“Silver Tail was created by ex-eBay and PayPal fraud professionals who lived the battle against fraud at a time when they were protecting the two most targeted brands on the Internet,” said McKenna. “Their experiences motivated them to hold up with shifting Web fraud attacks instead of playing catch-up.”

Visual Aids

IBM is also involved in fraud analytics via a combination of IBM SPSS Modeler, SPSS Statistics, SPSS Collaboration and Deployment Services, SPSS Data Collection, SPSS decision Management, IBM Cognos BI, Cognos Express, Cognos Insight, Cognos Disclosure Management and Cognos fiscal Statement Reporting.

IBM believes that visualization is a vital portion in making sense of analytics information, especially when it comes to facilitating the travail of professionals in fraud detection.

“As data volumes continue to fade up, BI tasks can benefit greatly from the utilize of information visualization techniques,” said Don Campbell, CTO, IBM commerce Analytics. “Good visual representations can advocate individuals intuitively understand complex data. Visualization can exist a powerful presentation and information consumption interface. But it doesn't stand on its own.”

Graphical representation is also a focus of 21CT, a provider of analytics for investigation and pattern detection. It has released enhanced graph search for its LYNXeon product to advocate spot cyber attackers and document criminal behavior. The rationale behind the product is that machine -based attacks can exist caught by machines, but human-based attacks require specialized tools to advocate people detect them before the damage is done.

“Health keeping fraud, notably Medicare, is an gargantuan problem, costing billions a year,” said Kyle Flaherty, vice president of Marketing at 21CT. “The challenge is not only the gargantuan amounts of data, but also in the disparate connections within the data. Additionally, fraud has been rampant in this arena and the malicious entities occupy become sophisticated.”

While regular BI tools provide insight into one slice of the overall information, Flaherty said, they are not suitable enough for fraud detection, which depends on operational insight and the skill for a human to hunt through visualized data, determine links, and detect overall patterns of activity.

“Fraud detection is a human versus human battle, and BI tools can spit out more data and graphs to advocate illustrate the problem,” said Flaherty. “In the finish you need to exist able to hop around the data and investigate.”

Drew Robb is a freelance writer specializing in technology and engineering. Currently living in California, he is originally from Scotland, where he received a degree in geology and geography from the University of Strathclyde. He is the author of Server Disk Management in a Windows Environment (CRC Press).

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