VMWare Training Classes in Huntington Beach, California

Learn VMWare in Huntington Beach, California and surrounding areas via our hands-on, expert led courses. All of our classes are offered on an onsite, online and public instructor led basis. Here is a list of our current VMWare related training offerings in Huntington Beach, California: VMWare Training

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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


  1.  C
  2.  Java
  3.  Objective-C 
  4.  C++
  5.  C#
  6.  PHP
  7. (Visual) Basic
  8.  Python
  9. Transact-SQL
  10. Java Script
  11. Visual Basic.NET
  12. Perl
  13.  Ruby
  14. Pascal
  15. Lisp
  16. MATLAB
  17. Delphi/Object Pascal
  18. PL/SQL
  19. COBOL
  20. 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?

  1. 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.
  2. 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.
  3. Focusing on languages that are compatible with other developers increases your chances to participate on projects that companies are working on.

Like me, I believe most people go about their business never to give a serious thought about their assumed private correspondence when using Gmail to email friends, colleagues and business associates.  As it turns out, your daily banter may not be so private after all.  A recent article in Fortune Magazine, “Judge Rejects Google Deal Over Email Scanning” caught my attention and an immediate thought dominated my curiosity…Google email and scanning scam.  

 

In essence, the article describes Googles’ agreement to change the way it scans incoming messages so that it no longer reads emails while they are in transit, but only when they are in someone's inbox! So, what exactly does that mean? Judge Koh, a San Francisco federal judge, said she's not so sure about that. Her ruling claims the settlement does not provide an adequate technical explanation of Google's workaround, which involves scanning in-transit emails for security purposes, and then later parsing them for advertising data. The judge also proposed a legal settlement to pay $2.2 million to lawyers, but nothing to consumers.

My interest in this story is not so much about the proposed settlements or the specific details about how Google or any of the web giants settle claims based on vague legal language. It is however, more about the naiveté of myself and perhaps many others that never question how the email scanning process really works. I wonder, do most of us really care that Gmail uses contents of our mail to display targeted ads?

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.

On March 6 of this year, Microsoft's .NET Foundation released its third preview release of .NET Core 3 — which is its free and open-source framework for developing apps on Windows, MacOS and Linux — with an official release scheduled for later this year. This release brings a wealth of new features and enhancements. This includes the following: 
 
1. Windows Desktop Support
 
One of the biggest additions to version 3.0 of the framework is the ability to develop Windows desktop applications. The new Windows Desktop component lets you build applications using either the Windows Presentation Foundation (WPF) graphical subsystem or the Windows Forms graphical class library. You can also use Windows UI XAML Library (WinUI) controls in your applications. 
 
The Windows Desktop component is only supported and included on Windows installs. 
 
2. Support for C# 8
 
The new framework has support for C# 8, which includes not only the ability to create asynchronous steams but features such as: 
 
Index and Range data types
Using declarations
Switch expressions
 
The Index and Range data types make array manipulation easier, while Using declarations ensure that your objects get disposed once they are out of scope. Finally, Switch expressions extend Switch statements by allowing you to return a value. 
 
3. IEEE Floating-Point Improvements
 
The new framework includes floating point APIs that comply with IEEE 754-2008. This includes fixes to both formatting and parsing as well as new Math APIs such as: 
 
BitIncrement/BitDecrement
MaxMagnitude/MinMagnitude
ILogB
ScaleB
Log2
FusedMultiplyAdd
CopySign
 
4. Support for Performance-Oriented CPU Instructions
 
The new framework includes support for both SIMD and Bit Manipulation instruction sets, which can create significant performance boosts in certain situations, such as when you are processing data in parallel. 
 
5. Default Executables
 
With the new framework, you can now produce framework-dependent executables by default without having to use self-contained deployments. 
 
6. Local dotnet Tools
 
In the previous version of the framework, there was support for global dotnet tools. But the current version adds support for local tools as well. These tools are associated with a specific disk location, and this allows you to enable per-repository and per-project tooling. 
 
7. Support for MSIX Deployments
 
The new framework supports MSIX, which is a Windows app package format that you can use when deploying Windows desktop applications. 
 
8. Built-In and Fast JSON Support
 
In prior versions of the framework, you had to use Json.NET if you wanted JSON support in your application. The framework, though, now has built-in support that is not only fast but also has low allocation requirements. It also adds 3 new JSON types, which include: 
 
Utf8JsonReader
Utf8JsonWriter
JsonDocument
 
9. Cryptography Support
 
The new framework supports AES-GCM and AES-CCM ciphers. It also supports the importing and exporting of asymmetric public and private keys from a variety of formats without the need of an X.509 certificate. 
 
Platform Support
 
.NET Core 3 supports the following operating systems: 
 
Alpine: 3.8+
Debian: 9+
Fedora: 26+
macOS: 10.12+
openSUSE: 42.3+
RHEL: 6+
SLES: 12+
Ubuntu: 16.04+
Windows Clients: 7, 8.1, 10 (1607+)
Windows Servers: 2012 R2 SP1+
 
The framework further supports the following chips: 
 
x64 (Windows, macOS and Linux)
x86 (Windows)
ARM32 (Windows and Linux)
ARM64 (Linux)
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Tech Life in California

Largely influenced by several immigrant populations California has experienced several technological, entertainment and economic booms over the years. As for technology, Silicon Valley, in the southern part of San Francisco is an integral part of the world?s innovators, high-tech businesses and a myriad of techie start-ups. It also accounts for 1/3rd of all venture capital investments.
Good judgment comes from experience, and experience comes from bad judgment. Frederick P. Brooks
other Learning Options
Software developers near Huntington Beach have ample opportunities to meet like minded techie individuals, collaborate and expend their career choices by participating in Meet-Up Groups. The following is a list of Technology Groups in the area.
Fortune 500 and 1000 companies in California that offer opportunities for VMWare developers
Company Name City Industry Secondary Industry
Mattel, Inc. El Segundo Retail Sporting Goods, Hobby, Book, and Music Stores
Spectrum Group International, Inc. Irvine Retail Retail Other
Chevron Corp San Ramon Energy and Utilities Gasoline and Oil Refineries
Jacobs Engineering Group, Inc. Pasadena Real Estate and Construction Construction and Remodeling
eBay Inc. San Jose Software and Internet E-commerce and Internet Businesses
Broadcom Corporation Irvine Computers and Electronics Semiconductor and Microchip Manufacturing
Franklin Templeton Investments San Mateo Financial Services Investment Banking and Venture Capital
Pacific Life Insurance Company Newport Beach Financial Services Insurance and Risk Management
Tutor Perini Corporation Sylmar Real Estate and Construction Construction and Remodeling
SYNNEX Corporation Fremont Software and Internet Data Analytics, Management and Storage
Core-Mark International Inc South San Francisco Manufacturing Food and Dairy Product Manufacturing and Packaging
Occidental Petroleum Corporation Los Angeles Manufacturing Chemicals and Petrochemicals
Yahoo!, Inc. Sunnyvale Software and Internet Software and Internet Other
Edison International Rosemead Energy and Utilities Gas and Electric Utilities
Ingram Micro, Inc. Santa Ana Computers and Electronics Consumer Electronics, Parts and Repair
Safeway, Inc. Pleasanton Retail Grocery and Specialty Food Stores
Gilead Sciences, Inc. San Mateo Healthcare, Pharmaceuticals and Biotech Pharmaceuticals
AECOM Technology Corporation Los Angeles Real Estate and Construction Architecture,Engineering and Design
Reliance Steel and Aluminum Los Angeles Manufacturing Metals Manufacturing
Live Nation, Inc. Beverly Hills Media and Entertainment Performing Arts
Advanced Micro Devices, Inc. Sunnyvale Computers and Electronics Semiconductor and Microchip Manufacturing
Pacific Gas and Electric Corp San Francisco Energy and Utilities Gas and Electric Utilities
Electronic Arts Inc. Redwood City Software and Internet Games and Gaming
Oracle Corporation Redwood City Software and Internet Software and Internet Other
Symantec Corporation Mountain View Software and Internet Data Analytics, Management and Storage
Dole Food Company, Inc. Thousand Oaks Manufacturing Food and Dairy Product Manufacturing and Packaging
CBRE Group, Inc. Los Angeles Real Estate and Construction Real Estate Investment and Development
First American Financial Corporation Santa Ana Financial Services Financial Services Other
The Gap, Inc. San Francisco Retail Clothing and Shoes Stores
Ross Stores, Inc. Pleasanton Retail Clothing and Shoes Stores
Qualcomm Incorporated San Diego Telecommunications Wireless and Mobile
Charles Schwab Corporation San Francisco Financial Services Securities Agents and Brokers
Sempra Energy San Diego Energy and Utilities Gas and Electric Utilities
Western Digital Corporation Irvine Computers and Electronics Consumer Electronics, Parts and Repair
Health Net, Inc. Woodland Hills Healthcare, Pharmaceuticals and Biotech Healthcare, Pharmaceuticals, and Biotech Other
Allergan, Inc. Irvine Healthcare, Pharmaceuticals and Biotech Biotechnology
The Walt Disney Company Burbank Media and Entertainment Motion Picture and Recording Producers
Hewlett-Packard Company Palo Alto Computers and Electronics Consumer Electronics, Parts and Repair
URS Corporation San Francisco Real Estate and Construction Architecture,Engineering and Design
Cisco Systems, Inc. San Jose Computers and Electronics Networking Equipment and Systems
Wells Fargo and Company San Francisco Financial Services Banks
Intel Corporation Santa Clara Computers and Electronics Semiconductor and Microchip Manufacturing
Applied Materials, Inc. Santa Clara Computers and Electronics Semiconductor and Microchip Manufacturing
Sanmina Corporation San Jose Computers and Electronics Semiconductor and Microchip Manufacturing
Agilent Technologies, Inc. Santa Clara Telecommunications Telecommunications Equipment and Accessories
Avery Dennison Corporation Pasadena Manufacturing Paper and Paper Products
The Clorox Company Oakland Manufacturing Chemicals and Petrochemicals
Apple Inc. Cupertino Computers and Electronics Consumer Electronics, Parts and Repair
Amgen Inc Thousand Oaks Healthcare, Pharmaceuticals and Biotech Biotechnology
McKesson Corporation San Francisco Healthcare, Pharmaceuticals and Biotech Pharmaceuticals
DIRECTV El Segundo Telecommunications Cable Television Providers
Visa, Inc. San Mateo Financial Services Credit Cards and Related Services
Google, Inc. Mountain View Software and Internet E-commerce and Internet Businesses

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the hartmann software group advantage
A successful career as a software developer or other IT professional requires a solid understanding of software development processes, design patterns, enterprise application architectures, web services, security, networking and much more. The progression from novice to expert can be a daunting endeavor; this is especially true when traversing the learning curve without expert guidance. A common experience is that too much time and money is wasted on a career plan or application due to misinformation.

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.
    1. We have provided software development and other IT related training to many major corporations in California since 2002.
    2. 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 VMWare programming
  • Get your questions answered by easy to follow, organized VMWare experts
  • Get up to speed with vital VMWare 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…
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Interesting Reads Take a class with us and receive a book of your choosing for 50% off MSRP.