Web Services Training Classes in Washington D C, Virginia
Learn Web Services in Washington D C, Virginia and surrounding areas via our hands-on, expert led courses. All of our classes either are offered on an onsite, online or public instructor led basis. Here is a list of our current Web Services related training offerings in Washington D C, Virginia: Web Services Training
Web Services Training Catalog
Course Directory [training on all levels]
- .NET Classes
- Agile/Scrum Classes
- AI Classes
- Ajax Classes
- Android and iPhone Programming Classes
- Blaze Advisor Classes
- C Programming Classes
- C# Programming Classes
- C++ Programming Classes
- Cisco Classes
- Cloud Classes
- CompTIA Classes
- Crystal Reports Classes
- Design Patterns Classes
- DevOps Classes
- Foundations of Web Design & Web Authoring Classes
- Git, Jira, Wicket, Gradle, Tableau Classes
- IBM Classes
- Java Programming Classes
- JBoss Administration Classes
- JUnit, TDD, CPTC, Web Penetration Classes
- Linux Unix Classes
- Machine Learning Classes
- Microsoft Classes
- Microsoft Development Classes
- Microsoft SQL Server Classes
- Microsoft Team Foundation Server Classes
- Microsoft Windows Server Classes
- Oracle, MySQL, Cassandra, Hadoop Database Classes
- Perl Programming Classes
- Python Programming Classes
- Ruby Programming Classes
- Security Classes
- SharePoint Classes
- SOA Classes
- Tcl, Awk, Bash, Shell Classes
- UML Classes
- VMWare Classes
- Web Development Classes
- Web Services Classes
- Weblogic Administration Classes
- XML Classes
- LINUX SHELL SCRIPTING
30 June, 2025 - 1 July, 2025 - RED HAT ENTERPRISE LINUX SYSTEMS ADMIN I
19 May, 2025 - 23 May, 2025 - VMware vSphere 8.0 Skill Up
18 August, 2025 - 22 August, 2025 - Enterprise Linux System Administration
28 July, 2025 - 1 August, 2025 - ASP.NET Core MVC (VS2022)
7 July, 2025 - 8 July, 2025 - See our complete public course listing
Blog Entries publications that: entertain, make you think, offer insight
Machine learning systems are equipped with artificial intelligence engines that provide these systems with the capability of learning by themselves without having to write programs to do so. They adjust and change programs as a result of being exposed to big data sets. The process of doing so is similar to the data mining concept where the data set is searched for patterns. The difference is in how those patterns are used. Data mining's purpose is to enhance human comprehension and understanding. Machine learning's algorithms purpose is to adjust some program's action without human supervision, learning from past searches and also continuously forward as it's exposed to new data.
The News Feed service in Facebook is an example, automatically personalizing a user's feed from his interaction with his or her friend's posts. The "machine" uses statistical and predictive analysis that identify interaction patterns (skipped, like, read, comment) and uses the results to adjust the News Feed output continuously without human intervention.
Impact on Existing and Emerging Markets
The NBA is using machine analytics created by a California-based startup to create predictive models that allow coaches to better discern a player's ability. Fed with many seasons of data, the machine can make predictions of a player's abilities. Players can have good days and bad days, get sick or lose motivation, but over time a good player will be good and a bad player can be spotted. By examining big data sets of individual performance over many seasons, the machine develops predictive models that feed into the coach’s decision-making process when faced with certain teams or particular situations.
General Electric, who has been around for 119 years is spending millions of dollars in artificial intelligence learning systems. Its many years of data from oil exploration and jet engine research is being fed to an IBM-developed system to reduce maintenance costs, optimize performance and anticipate breakdowns.
Over a dozen banks in Europe replaced their human-based statistical modeling processes with machines. The new engines create recommendations for low-profit customers such as retail clients, small and medium-sized companies. The lower-cost, faster results approach allows the bank to create micro-target models for forecasting service cancellations and loan defaults and then how to act under those potential situations. As a result of these new models and inputs into decision making some banks have experienced new product sales increases of 10 percent, lower capital expenses and increased collections by 20 percent.
Emerging markets and industries
By now we have seen how cell phones and emerging and developing economies go together. This relationship has generated big data sets that hold information about behaviors and mobility patterns. Machine learning examines and analyzes the data to extract information in usage patterns for these new and little understood emergent economies. Both private and public policymakers can use this information to assess technology-based programs proposed by public officials and technology companies can use it to focus on developing personalized services and investment decisions.
Machine learning service providers targeting emerging economies in this example focus on evaluating demographic and socio-economic indicators and its impact on the way people use mobile technologies. The socioeconomic status of an individual or a population can be used to understand its access and expectations on education, housing, health and vital utilities such as water and electricity. Predictive models can then be created around customer's purchasing power and marketing campaigns created to offer new products. Instead of relying exclusively on phone interviews, focus groups or other kinds of person-to-person interactions, auto-learning algorithms can also be applied to the huge amounts of data collected by other entities such as Google and Facebook.
A warning
Traditional industries trying to profit from emerging markets will see a slowdown unless they adapt to new competitive forces unleashed in part by new technologies such as artificial intelligence that offer unprecedented capabilities at a lower entry and support cost than before. But small high-tech based companies are introducing new flexible, adaptable business models more suitable to new high-risk markets. Digital platforms rely on algorithms to host at a low cost and with quality services thousands of small and mid-size enterprises in countries such as China, India, Central America and Asia. These collaborations based on new technologies and tools gives the emerging market enterprises the reach and resources needed to challenge traditional business model companies.
Over time, companies are migrating from COBOL to the latest standard of C# solutions due to reasons such as cumbersome deployment processes, scarcity of trained developers, platform dependencies, increasing maintenance fees. Whether a company wants to migrate to reporting applications, operational infrastructure, or management support systems, shifting from COBOL to C# solutions can be time-consuming and highly risky, expensive, and complicated. However, the following four techniques can help companies reduce the complexity and risk around their modernization efforts.
All COBOL to C# Solutions are Equal
It can be daunting for a company to sift through a set of sophisticated services and tools on the market to boost their modernization efforts. Manual modernization solutions often turn into an endless nightmare while the automated ones are saturated with solutions that generate codes that are impossible to maintain and extend once the migration is over. However, your IT department can still work with tools and services and create code that is easier to manage if it wants to capitalize on technologies such as DevOps.
Narrow the Focus
Most legacy systems are incompatible with newer systems. For years now, companies have passed legacy systems to one another without considering functional relationships and proper documentation features. However, a detailed analysis of databases and legacy systems can be useful in decision-making and risk mitigation in any modernization effort. It is fairly common for companies to uncover a lot of unused and dead code when they analyze their legacy inventory carefully. Those discoveries, however can help reduce the cost involved in project implementation and the scope of COBOL to C# modernization. Research has revealed that legacy inventory analysis can result in a 40% reduction of modernization risk. Besides making the modernization effort less complex, trimming unused and dead codes and cost reduction, companies can gain a lot more from analyzing these systems.
Understand Thyself
For most companies, the legacy system entails an entanglement of intertwined code developed by former employees who long ago left the organization. The developers could apply any standards and left behind little documentation, and this made it extremely risky for a company to migrate from a COBOL to C# solution. In 2013, CIOs teamed up with other IT stakeholders in the insurance industry in the U.S to conduct a study that found that only 18% of COBOL to C# modernization projects complete within the scheduled period. Further research revealed that poor legacy application understanding was the primary reason projects could not end as expected.
Furthermore, using the accuracy of the legacy system for planning and poor understanding of the breadth of the influence of the company rules and policies within the legacy system are some of the risks associated with migrating from COBOL to C# solutions. The way an organization understands the source environment could also impact the ability to plan and implement a modernization project successfully. However, accurate, in-depth knowledge about the source environment can help reduce the chances of cost overrun since workers understand the internal operations in the migration project. That way, companies can understand how time and scope impact the efforts required to implement a plan successfully.
Use of Sequential Files
Companies often use sequential files as an intermediary when migrating from COBOL to C# solution to save data. Alternatively, sequential files can be used for report generation or communication with other programs. However, software mining doesn’t migrate these files to SQL tables; instead, it maintains them on file systems. Companies can use data generated on the COBOL system to continue to communicate with the rest of the system at no risk. Sequential files also facilitate a secure migration path to advanced standards such as MS Excel.
Modern systems offer companies a range of portfolio analysis that allows for narrowing down their scope of legacy application migration. Organizations may also capitalize on it to shed light on migration rules hidden in the ancient legacy environment. COBOL to C# modernization solution uses an extensible and fully maintainable code base to develop functional equivalent target application. Migration from COBOL solution to C# applications involves language translation, analysis of all artifacts required for modernization, system acceptance testing, and database and data transfer. While it’s optional, companies could need improvements such as coding improvements, SOA integration, clean up, screen redesign, and cloud deployment.
Once again theTIOBE Programming Community has calculated the trends in popular programming languages on the web. Evaluating the updates in the index allows developers to assess the direction of certain programming skills that are rising or faltering in their field. According to the November 2013 report, three out of four languages currently ranking in the top twenty are languages defined by Microsoft. These are C#, SQL Server language Transact-SQL and Visual Basic.NET. Not surprising though, the top two languages that remain steady in the number one and two spots are Java and C.
How are the calculations measured? The information is gathered from five major search engines: Google, Bing, Yahoo!, Wikipedia, Amazon, YouTube and Baidu.
Top 20 Programming Languages: as of November 2013
- C
- Java
- Objective-C
- C++
- C#
- PHP
- (Visual) Basic
- Python
- Transact-SQL
- Java Script
- Visual Basic.NET
- Perl
- Ruby
- Pascal
- Lisp
- MATLAB
- Delphi/Object Pascal
- PL/SQL
- COBOL
- Assembly
Although the index is an important itemized guide of what people are searching for on the internet, it’s arguable that certain languages getting recognition is a direct result of early adopters posting tutorials and filling up discussion boards on current trends. Additionally, popular tech blogs pick up on technological shifts and broadcast related versions of the same themes.
When does the popularity of a software language matter?
- If you want marketable skills, knowing what employers are looking for is beneficial. As an example, languages such as Java and Objective C are highly coveted in the smart-phone apps businesses.
- A consistently shrinking language in usage is an indicator not only that employers are apt to pass on those skills but fall in danger of being obsolete.
- Focusing on languages that are compatible with other developers increases your chances to participate on projects that companies are working on.
Sage wisdom states that there are two sides to every coin. This timeless wisdom will be borne out in spades with Windows 8/RT. Let's get into the dark side first.
If your users are veterans of Windows it is safe bet they are going to take one look at Windows 8 and scream blasphemy. Users whose brains are geared towards visual learning will undoubtedly yell the loudest and longest.
There's a good reason for this. Mick Jagger brought his band to the Redmond campus, performing live "Start Me Up" in the summer of 1995 (it was a great show). This heralded in the abandonment of program icons sitting on the desktop and introduced the now legacy Start button.
Ending the life of the 17-year-old start button is not going to go well with some users.
Tech Life in Virginia
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
Brink's Inc. | Richmond | Business Services | Security Services |
Federal Home Loan Mortgage Corporation (Freddie Mac) | Mc Lean | Financial Services | Lending and Mortgage |
General Dynamics Corporation | Falls Church | Manufacturing | Aerospace and Defense |
CarMax, Inc. | Henrico | Retail | Automobile Dealers |
NVR, Inc. | Reston | Real Estate and Construction | Construction and Remodeling |
Gannett Co., Inc. | Mc Lean | Media and Entertainment | Newspapers, Books and Periodicals |
Smithfield Foods, Inc. | Smithfield | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
ManTech International Corporation | Fairfax | Computers and Electronics | IT and Network Services and Support |
DynCorp International | Falls Church | Manufacturing | Aerospace and Defense |
Genworth Financial, Inc. | Richmond | Financial Services | Insurance and Risk Management |
MeadWestvaco Corporation | Richmond | Manufacturing | Paper and Paper Products |
Dollar Tree, Inc. | Chesapeake | Retail | Department Stores |
Alpha Natural Resources, Inc. | Abingdon | Agriculture and Mining | Mining and Quarrying |
SRA International, Inc. | Fairfax | Business Services | Business Services Other |
NII Holdings, Inc. | Reston | Telecommunications | Wireless and Mobile |
Dominion Resources, Inc. | Richmond | Energy and Utilities | Gas and Electric Utilities |
Norfolk Southern Corporation | Norfolk | Transportation and Storage | Freight Hauling (Rail and Truck) |
CACI International Inc. | Arlington | Software and Internet | Data Analytics, Management and Storage |
Amerigroup Corporation | Virginia Beach | Financial Services | Insurance and Risk Management |
Owens and Minor, Inc. | Mechanicsville | Healthcare, Pharmaceuticals and Biotech | Personal Health Care Products |
Advance Auto Parts, Inc | Roanoke | Retail | Automobile Parts Stores |
SAIC | Mc Lean | Software and Internet | Software |
AES Corporation | Arlington | Energy and Utilities | Gas and Electric Utilities |
Capital One Financial Corporation | Mc Lean | Financial Services | Credit Cards and Related Services |
Sunrise Senior Living, Inc. | Mc Lean | Healthcare, Pharmaceuticals and Biotech | Residential and Long-Term Care Facilities |
Computer Sciences Corporation | Falls Church | Software and Internet | Software |
Altria Group, Inc. | Richmond | Manufacturing | Manufacturing Other |
Northrop Grumman Corporation | Falls Church | Manufacturing | Aerospace and Defense |
Alliant Techsystems Inc. | Arlington | Manufacturing | Aerospace and Defense |
Markel Corporation | Glen Allen | Financial Services | Insurance and Risk Management |
training details locations, tags and why hsg
The Hartmann Software Group understands these issues and addresses them and others during any training engagement. Although no IT educational institution can guarantee career or application development success, HSG can get you closer to your goals at a far faster rate than self paced learning and, arguably, than the competition. Here are the reasons why we are so successful at teaching:
- Learn from the experts.
- We have provided software development and other IT related training to many major corporations in Virginia since 2002.
- Our educators have years of consulting and training experience; moreover, we require each trainer to have cross-discipline expertise i.e. be Java and .NET experts so that you get a broad understanding of how industry wide experts work and think.
- Discover tips and tricks about Web Services programming
- Get your questions answered by easy to follow, organized Web Services experts
- Get up to speed with vital Web Services programming tools
- Save on travel expenses by learning right from your desk or home office. Enroll in an online instructor led class. Nearly all of our classes are offered in this way.
- Prepare to hit the ground running for a new job or a new position
- See the big picture and have the instructor fill in the gaps
- We teach with sophisticated learning tools and provide excellent supporting course material
- Books and course material are provided in advance
- Get a book of your choice from the HSG Store as a gift from us when you register for a class
- Gain a lot of practical skills in a short amount of time
- We teach what we know…software
- We care…