Oracle, MySQL, Cassandra, Hadoop Database Training Classes in Trenton, New Jersey
Learn Oracle, MySQL, Cassandra, Hadoop Database in Trenton, 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 Oracle, MySQL, Cassandra, Hadoop Database related training offerings in Trenton, New Jersey: Oracle, MySQL, Cassandra, Hadoop Database Training
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25 August, 2025 - 29 August, 2025 - RED HAT ENTERPRISE LINUX SYSTEMS ADMIN I
3 November, 2025 - 7 November, 2025 - RHCSA EXAM PREP
17 November, 2025 - 21 November, 2025 - Linux Fundaments GL120
22 September, 2025 - 26 September, 2025 - Object-Oriented Programming in C# Rev. 6.1
15 September, 2025 - 19 September, 2025 - See our complete public course listing
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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.
Today we live in the age of technology. It seems like everyone owns at least one computer, but few actually know how they work. We hear about Java tutorials and C# programming, but why are these things important?
There has been an increasing demand for those who are proficient in web development. It is a job field that has grown substantially in the past decade, and it is still continuing to flourish with no signs of stopping. Learning a web language is not only a useful skill, but a necessary one. So why, out of all of the available web languages, is Java the most valuable?
· First off, it is a simple language that is easily learned and well known.
· Java has been around for awhile now, and has earned its place as one of the pillars of modern day computer architecture. Information on Java is abundant, and ranges from online tutorials to books, such as "Java for Dummies."
Facebook was originally intended as a way for people to stay in touch with friends and family members by sharing pictures and status updates on their timeline. As the website's popularity has grown, so has criticism that it is becoming one giant, online high school.
Online Bullying
There has been a dramatic increase in recent years in the number of online bullying cases due to the introduction of social media. Bullying isn't just limited to younger Facebook users, either. Many adult users have also resorted to bashing others online through nasty status updates and cruel comments.
Prior to social media, bullying in high school involved "kick me" signs and toilet swirling. Facebook and other social media outlets have allowed users to take bullying to a whole other level. Victims can no longer escape bullying by leaving school or work. The torture continues online, at anytime and anyplace.
Status "Likes"
In high school, everyone wants to be part of the popular crowd; people who are outgoing, beautiful, and seem like they have everything. Posting a status update is similar to wanting to be popular. Once an update is posted, many users wait with bated breath to see how many friends will "like" their status. They believe that the more "likes" they receive, the more popular they are.
If that isn’t enough, there are many Facebook games that involve "liking" someone's status. Games like "Truth Is", where someone likes a status update and in return the poster writes how they really feel about the friend on their Facebook wall. This can get touchy, especially if the two people aren't friends outside of Facebook. It's similar to high school where someone desperately wants another person to like them, but when they find out how that person really feels they are crushed.
Relationships Are Difficult to Keep Private
When someone signs up for Facebook they’re asked to complete their profile, which includes a relationship section. Users can select from different options including "single", "married", "widowed", and "divorced". Whenever someone changes their relationship status, the update shows up on each of their friend's news feeds.
It's easy to see how this feature correlates with high school where everyone talks about who is dating who or which couple broke up. It used to be that after graduation, people were able to keep their relationships more to themselves. Not so anymore in the age of social media. Now everyone has the ability to state their opinion on a friend's relationship status, either by "liking" their status change or by commenting on it.
Facebook has presented many benefits to its users, including the ability to rekindle old high school friendships. What one must understand when they sign up for the service is that they are opening themselves up to the same criticism and drama that takes place in a high school setting.
Proceed with caution!
Writing Python in Java syntax is possible with a semi-automatic tool. Programming code translation tools pick up about 75% of dynamically typed language. Conversion of Python to a statically typed language like Java requires some manual translation. The modern Java IDE can be used to infer local variable type definitions for each class attribute and local variable.
Translation of Syntax
Both Python and Java are OO imperative languages with sizable syntax constructs. Python is larger, and more competent for functional programming concepts. Using the source translator tool, parsing of the original Python source language will allow for construction of an Abstract Source Tree (AST), followed by conversion of the AST to Java.
Python will parse itself. This capability is exhibited in the ast module, which includes skeleton classes. The latter can be expanded to parse and source each node of an AST. Extension of the ast.NodeVisitor class enables python syntax constructs to be customized using translate.py and parser.py coding structure.
The Concrete Syntax Tree (CST) for Java is based on visit to the AST. Java string templates can be output at AST nodes with visitor.py code. Comment blocks are not retained by the Python ast Parser. Conversion of Python to multi-line string constructs with the translator reduces time to script.
Scripting Python Type Inference in Java
Programmers using Python source know that the language does not contain type information. The fact that Python is a dynamic type language means object type is determined at run time. Python is also not enforced at compile time, as the source is not specified. Runtime type information of an object can be determined by inspecting the __class__.__name__ attribute.
Python’s inspect module is used for constructing profilers and debugging.
Implementation of def traceit (frame, event, arg) method in Python, and connecting it to the interpreter with sys.settrace (traceit) allows for integration of multiple events during application runtime.
Method call events prompt inspect and indexing of runtime type. Inspection of all method arguments can be conducted. By running the application profiler and exercising the code, captured trace files for each source file can be modified with the translator. Generating method syntax can be done with the translator by search and addition of type information. Results in set or returned variables disseminate the dynamic code in static taxonomy.
The final step in the Python to Java scrip integration is to administer unsupported concepts such as value object creation. There is also the task of porting library client code, for reproduction in Java equivalents. Java API stubs can be created to account for Python APIs. Once converted to Java the final clean-up of the script is far easier.
Related:
What Are The 10 Most Famous Software Programs Written in Python?
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 Oracle, MySQL, Cassandra, Hadoop Database programming
- Get your questions answered by easy to follow, organized Oracle, MySQL, Cassandra, Hadoop Database experts
- Get up to speed with vital Oracle, MySQL, Cassandra, Hadoop Database 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…