Oracle, MySQL, Cassandra, Hadoop Database Training Classes in Passaic, New Jersey

Learn Oracle, MySQL, Cassandra, Hadoop Database in Passaic, 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 Passaic, New Jersey: Oracle, MySQL, Cassandra, Hadoop Database Training

We offer private customized training for groups of 3 or more attendees.
Passaic  Upcoming Instructor Led Online and Public Oracle, MySQL, Cassandra, Hadoop Database Training Classes
HADOOP FOR SYSTEMS ADMINISTRATORS Training/Class 16 March, 2020 - 18 March, 2020 $1890
HSG Training Center
Passaic, New Jersey
Hartmann Software Group Training Registration

Oracle, MySQL, Cassandra, Hadoop Database Training Catalog

Cassandra Classes

Hadoop Classes

cost: $ 1590length: 3 day(s)

Linux Unix Classes

Microsoft Development Classes

MySQL Classes

cost: $ 1190length: 3 day(s)

Oracle Classes

cost: $ 2090length: 5 day(s)

SQL Server Classes

Course Directory [training on all levels]

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The interpreted programming language Python has surged in popularity in recent years. Long beloved by system administrators and others who had good use for the way it made routine tasks easy to automate, it has gained traction in other sectors as well. In particular, it has become one of the most-used tools in the discipline of numerical computing and analysis. Being put to use for such heavy lifting has endowed the language with a great selection of powerful libraries and other tools that make it even more flexible. One upshot of this development has been that sophisticated business analysts have also come to see the language as a valuable tool for those own data analysis needs.

Greatly appreciated for its simplicity and elegance of syntax, Python makes an excellent first programming language for previously non-technical people. Many business analysts, in fact, have had success growing their skill sets in this way thanks to the language's tractability. Long beloved by specialized data scientists, the iPython interactive computing environment has also attracted great attention within the business analyst’s community. Its instant feedback and visualization options have made it easy for many analysts to become skilled Python programmers while doing valuable work along the way.

Using iPython and appropriate notebooks for it, for example, business analysts can easily make interactive use of such tools as cohort analysis and pivot tables. iPython makes it easy to benefit from real-time, interactive researches which produce immediately visible results, including charts and graphs suitable for use in other contexts. Through becoming familiar with this powerful interactive application, business analysts are also exposing themselves in a natural and productive way to the Python programming language itself.

Gaining proficiency with this language opens up further possibilities. While interactive analytic techniques are of great use to many business analysts, being able to create fully functioning, independent programs is of similar value. Becoming comfortable with Python allows analysts to tackle and plumb even larger data sets than would be possible through an interactive approach, as results can be allowed to accumulate over hours and days of processing time.

This ability can sometime allow business analysts to address the so-called "Big Data" questions that can otherwise seem the sole province of specialized data scientists. More important than this higher level of independence, perhaps, is the fact that this increased facility with data analysis and handling allows analysts to communicate more effectively with such stakeholders. Through learning a programming language which allows them to begin making independent inroads into such areas, business analysts gain a better perspective on these specialized domains, and this allows them to function as even more effective intermediaries.

 

Related:

Who Are the Main Players in Big Data?

Memory management is always a priority in pretty much any programming language you would want to use. In the lower level languages such as C, there are a number of functions which help you manage the memory your application uses, but they are not the easiest to use. Some of the more modern programming languages such as Python, Ruby, Perl, and of course the subject of this article, Javascript all have a built in feature called garbage collection.

 

Garbage collection essentially means that the languages compiler will automatically free the memory being occupied by unused variables and objects, but there is no telling when this could occur. It is purely down to the compiler to decide when the garbage collection process should be initiated.

 

One of the most anticipated features that came on the iPhone 4S was a new thing called: Siri. Zooming out before concentrating on Siri, mobile assistants were the new rage. Beforehand, people were fascinated by the cloud, and how you could store your files in the Internet and retrieve it from anywhere. You could store your file at home, and get it at your workplace to make a presentation. However, next came virtual assistants. When you’re in the car, it’s hard to send text messages. It’s hard to call people. It’s hard to set reminders that just popped into your head onto your phone. Thus, came the virtual assistant: a new way to be able to talk to your phone to be able to do what you want it to do, and in this case, text message, or call people, and many other features. Apple jumped onto the bandwagon with the iPhone 4S and came out with the new feature: Siri, a virtual assistant that is tailored to assist you in your endeavours by your diction.

 

Getting started with Siri

To get Siri in the first place, you need an iPhone 4S; although you may have the latest updates on your iPhone 4 or earlier, having an iPhone 4S means you have the hardware that is required to run Siri on your phone. Therefore, if you are interested in using Siri, check into getting an iPhone 4S, as they are getting cheaper every single day.

 

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

New Jersey has the highest population density in the U.S. With an average of 1,030 people per square mile, it?s thirteen times the national average. Given the amount of residents in the Garden State, it?s no wonder that there are 2,700 software and software related companies. Developers in New Jersey should be able to pave their way with the available resources in town such as, Zylog Systems, Mformation, Agilence, Db Technology, Senid Software International and so many other similar institutions.
  To teach is to learn twice. Joseph Joubert
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Software developers near Passaic 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 New Jersey that offer opportunities for Oracle, MySQL, Cassandra, Hadoop Database developers
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

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 New Jersey 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 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…
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Interesting Reads Take a class with us and receive a book of your choosing for 50% off MSRP.