Microsoft SQL Server Training Classes in Vineland, New Jersey
Learn Microsoft SQL Server in Vineland, NewJersey 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 Vineland, New Jersey: Microsoft SQL Server Training
Microsoft SQL Server Training Catalog
subcategories
Microsoft SQL Server Classes
Course Directory [training on all levels]
- .NET Classes
- Agile/Scrum 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
- Introduction to Python 3.x
29 April, 2024 - 2 May, 2024 - Ruby Programming
29 April, 2024 - 1 May, 2024 - ASP.NET Core MVC, Rev. 6.0
19 August, 2024 - 20 August, 2024 - Linux Fundaments GL120
15 July, 2024 - 19 July, 2024 - Go Language Essentials
29 July, 2024 - 1 August, 2024 - See our complete public course listing
Blog Entries publications that: entertain, make you think, offer insight
.NET is a highly popular programming language from Microsoft that continues to rock the IT industry since its inception almost twelve years ago. Simply stated, it is a development framework comprising of multiple modules that helps in creating Web Applications, Windows Applications as well as Mobile Applications. The demand for .NET programmers saw a definite surge in the last decade - thanks to the evolution of the smart phones.
Listed below are some of the recent and prevalent aspects of .Net
ASP .NET - Web API
Microsoft considers Web AP I as the future of ASP .NET. The world of web is heading towards a simpler, lightweight, REST based services. Web API makes it possible with the ASP.NET MVC without the heavy lifting that WCF requires. jQuery could be utilized for displaying results in front end of the page as shown in the example in Microsoft site.
Python programming language is general purpose open source programming language. One of its main features is flexibility and ease of use. Python has a variety of useful set of utilities and libraries for data processing and analytical tasks. Currently due to the rise in demand of big data processing python has grown in popularity because its features are easy to use which are core to the processing of huge chunks of information.
Guido Van Rossum, the pioneer of python, introduced python in the year 1980 and then implemented it in 1989. The intention behind the development of python was to make it open source language that can also be used for commercial projects. The fundamental principle of python is to write the code that is easy to use, highly readable and embrace writing fewer lines of code for achieving a particular task. One of the most popular standard libraries which have ready to use tools for performing a various work is Python Package Index. It was introduced in January 2016 and contains more than 72,000 packages for third-party software usage.
Python plays a critical role in linking data to customers. Recently python has found few entry barriers and many people have had access to have experienced the power of python in the past. So, what makes python the best language for big data analytics?
One of the reasons to choose python is that python ecosystem is very vibrant, the ratings at Redmonk are a proof of the strength python community. The Redmonk ranking is based on StackOverflow discussions and contribution made in Github to determine the popularity of programming language on the method used by users to ask questions about Python and the number of the open source projects contributions.
Creating an enum in Python prior to Python 3.4 was accomplished as follows:
def enum(**enums)::
return type('Enum',(),enums)
then use as:
Animals=enum(Dog=1,Cat=2)
and accessed as:
Animals.Dog
The new version can be created as follows:
from enum import Enum
class Animal(Enum):
Dog=1
Cat=2
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 New Jersey
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
HCB, Inc. | Paramus | Retail | Office Supplies Stores |
Wyndham Worldwide Corp. | Parsippany | Travel, Recreation and Leisure | Hotels, Motels and Lodging |
Realogy Corporation | Parsippany | Real Estate and Construction | Real Estate Agents and Appraisers |
Church and Dwight Co., Inc. | Trenton | Manufacturing | Manufacturing Other |
Curtiss-Wright Corporation | Parsippany | Manufacturing | Aerospace and Defense |
American Water | Voorhees | Energy and Utilities | Water Treatment and Utilities |
Cognizant Technology Solutions Corp. | Teaneck | Computers and Electronics | IT and Network Services and Support |
The Great Atlantic and Pacific Tea Co. - AandP | Montvale | Retail | Grocery and Specialty Food Stores |
COVANCE INC. | Princeton | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
K. Hovnanian Companies, LLC. | Red Bank | Real Estate and Construction | Architecture,Engineering and Design |
Burlington Coat Factory Corporation | Burlington | Retail | Clothing and Shoes Stores |
GAF Materials Corporation | Wayne | Manufacturing | Concrete, Glass, and Building Materials |
Pinnacle Foods Group LLC | Parsippany | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
Actavis, Inc | Parsippany | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
Hudson City Savings Bank | Paramus | Financial Services | Banks |
Celgene Corporation | Summit | Healthcare, Pharmaceuticals and Biotech | Biotechnology |
Cytec Industries Inc. | Woodland Park | Manufacturing | Chemicals and Petrochemicals |
Campbell Soup Company | Camden | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
Covanta Holding Corporation | Morristown | Energy and Utilities | Energy and Utilities Other |
New Jersey Resources Corporation | Wall Township | Energy and Utilities | Gas and Electric Utilities |
Quest Diagnostics Incorporated | Madison | Healthcare, Pharmaceuticals and Biotech | Diagnostic Laboratories |
Rockwood Holdings Inc. | Princeton | Manufacturing | Chemicals and Petrochemicals |
Heartland Payment Systems, Incorporated | Princeton | Financial Services | Credit Cards and Related Services |
IDT Corporation | Newark | Telecommunications | Wireless and Mobile |
John Wiley and Sons, Inc | Hoboken | Media and Entertainment | Newspapers, Books and Periodicals |
Bed Bath and Beyond | Union | Retail | Retail Other |
The Children's Place Retail Stores, Inc. | Secaucus | Retail | Clothing and Shoes Stores |
Hertz Corporation | Park Ridge | Travel, Recreation and Leisure | Rental Cars |
Public Service Enterprise Group Incorporated | Newark | Energy and Utilities | Gas and Electric Utilities |
Selective Insurance Group, Incorporated | Branchville | Financial Services | Insurance and Risk Management |
Avis Budget Group, Inc. | Parsippany | Travel, Recreation and Leisure | Rental Cars |
Prudential Financial, Incorporated | Newark | Financial Services | Insurance and Risk Management |
Merck and Co., Inc. | Whitehouse Station | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
Honeywell International Inc. | Morristown | Manufacturing | Aerospace and Defense |
C. R. Bard, Incorporated | New Providence | Healthcare, Pharmaceuticals and Biotech | Medical Supplies and Equipment |
Sealed Air Corporation | Elmwood Park | Manufacturing | Plastics and Rubber Manufacturing |
The Dun and Bradstreet Corp. | Short Hills | Business Services | Data and Records Management |
The Chubb Corporation | Warren | Financial Services | Insurance and Risk Management |
Catalent Pharma Solutions Inc | Somerset | Healthcare, Pharmaceuticals and Biotech | Healthcare, Pharmaceuticals, and Biotech Other |
Becton, Dickinson and Company | Franklin Lakes | Healthcare, Pharmaceuticals and Biotech | Medical Supplies and Equipment |
NRG Energy, Incorporated | Princeton | Energy and Utilities | Gas and Electric Utilities |
TOYS R US, INC. | Wayne | Retail | Department Stores |
Johnson and Johnson | New Brunswick | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
Automatic Data Processing, Incorporated (ADP) | Roseland | Business Services | HR and Recruiting Services |
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 New Jersey 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…