Microsoft SQL Server Training Classes in Petaluma, California
Learn Microsoft SQL Server in Petaluma, California 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 Microsoft SQL Server related training offerings in Petaluma, California: Microsoft SQL Server Training
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16 December, 2024 - 17 December, 2024 - VMware vSphere 8.0 with ESXi and vCenter
9 December, 2024 - 13 December, 2024 - Ruby on Rails
5 December, 2024 - 6 December, 2024 - Fast Track to Java 17 and OO Development
9 December, 2024 - 13 December, 2024 - VMware vSphere 8.0 Boot Camp
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Blog Entries publications that: entertain, make you think, offer insight
Visual Studio .NET is one of many tools available at your disposal for web development. But where some programs may focus on HTML coding or graphics, Visual Studio .NET is a complete tool set that can be used to not only create XML web services and ASP web applications, but desktop and mobile applications as well. So what are some features that are included in the latest release?
· Visual J#. This is most well-known by developers who are well-versed in the language of Java. It is best used when building services via the .NET framework, or when building applications.
· Smart Device Applications. This enables you to generate, repair, and install applications that can be used on smart phones, PDAs, and other devices.
· ASP.NET Mobile Design. Allows for building web applications for not only PDAs and mobile phones, but pagers as well. This also allows a designer to manipulate the mobile Web form of an application.
Welcome to the career field of Business Intelligence. Business Intelligence is a concept that involves a certain level of interaction within an organism, analytically and dynamically, to come to business solutions which implement better, more effective and timely decision making. These solutions are reached by establishing an understanding of the right kinds of user data: what is going well, what is going wrong, taking and monitoring certain actions, previously unknown trends, and patterns, and improved collaboration. When all of this data is taken into account, the entire decision-making process, within a business, will inevitably improve. As an Oracle BI developer, there are specific skills which will drastically make your job easier and results more effective. As time goes on and technology changes, the list is constantly being updated. The following are skills an Oracle Business Intelligence Developer might need to know or learn in 2019.
Communication
One of the biggest challenges in pursuing a career in software development is to figure out which language you want to work. In addition to commonly used software programming languages like C, C++, C# and Java a lot of new programming languages such as Python, Ruby on Rails have surfaced especially because they are used by a lot of consumer based start-ups these days.
It could then be a daunting task to figure out the technical language you should learn which helps you prosper in a software engineering career no matter the technology advancements that happen in the marketplace. Learning a fundamental and universal language like C# could be a great start to your career as the language is very mature and extensively used by companies large and small
What is C#
Similar to Java, C# is a multi-paradigm, object oriented language developed by Microsoft. C# is intended for use in developing software components meant to be deployed in distributed environments. So in essence, learning C# can enable you to write applications for large and complex server side systems that use sophisticated operating systems as well as compact mobile operating systems such as Android
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.
Tech Life in California
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 |
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 California 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 Microsoft SQL Server programming
- Get your questions answered by easy to follow, organized Microsoft SQL Server experts
- Get up to speed with vital Microsoft SQL Server 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…