C# Programming Training Classes in Hempstead, New York
Learn C# Programming in Hempstead, NewYork 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 C# Programming related training offerings in Hempstead, New York: C# Programming Training
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13 May, 2024 - 15 May, 2024 - RHCSA EXAM PREP
17 June, 2024 - 21 June, 2024 - Object-Oriented Programming in C# Rev. 6.1
24 June, 2024 - 28 June, 2024 - DOCKER WITH KUBERNETES ADMINISTRATION
6 May, 2024 - 10 May, 2024 - Introduction to Spring 5 (2022)
15 July, 2024 - 17 July, 2024 - See our complete public course listing
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Big data is now in an incredibly important part of how many major businesses function. Data analysis, or the finding of facts from large volumes of data, helps businesses make many of their important decisions. Companies that conduct business on a national or international scale rely on big data in order to plot the general direction of their business. The concept of big data can be very confusing due to the sheer scale of information involved. By following a few simple guidelines, even the layman can understand big data and its impacts on everyday life.
What Exactly is Big Data?
Just about everyone can understand the concept of data. Data is information, and information is everywhere in the modern world. Anytime you use any piece of technology you are making use of data. Anytime you read a book, skim the newspaper or listen to music you are also making use of data. Your brain interprets and organizes data constantly from your senses and your thoughts.
Big data, much like its name infers, simply describes this same data on a large sale. The internet allowed the streaming, sharing and collecting of data on a scale never before imaginable and storage technology has allowed ever increasing hoards of data to be accumulated. In order for something to be considered “big data” it must be at least 10 terabytes or more of information. To put that in perspective, consider that 10 terabytes represents the entire printed collection of material in the Library of Congress. What’s even more remarkable is that many businesses work with far more than the minimum 10 terabytes of data. UPS stores over 16 petabytes of data about its packages and customers. That’s 16,000 terabytes or the equivalent to 1,600 printed libraries of congress. The sheer amount of that data is nearly impossible for a human to comprehend, and analysis of this data is only possible with computers.
How do Big Data Companies Emerge?
All of this information comes from everywhere on the internet. The majority of the useful data includes customer information, search engine logs, and entries on social media networks to name a few. This data is constantly generated by the internet at insane rates. Specified computers and software programs are created and operated by big data companies that collect and sort this information. These programs and hardware are so sophisticated and so specialized that entire companies can be dedicated to analyzing this data and then selling it to other companies. The raw data is distilled down into manageable reports that company executives can make use of when handling business decisions.
The Top Five:
These are the five biggest companies, according to Forbes, in the business of selling either raw data reports or analytics programs that help companies to compile their own reports.
1. Splunk
Splunk is currently valued at $186 million. It is essentially a program service that allows companies to turn their own raw data collections into usable information.
2. Opera Solutions
Opera Solutions is valued at $118 million. It serves as a data science service that helps other companies to manage the raw data that pertains to them. They can offer either direct consultation or cloud-based service.
3. Mu Sigma
Mu Sigma is valued at $114 million. It is a slightly smaller version of Opera Solutions, offering essentially the same types of services.
4. Palantir
Palantir is valued at $78 million. It offers data analysis software to companies so they can manage their own raw data analysis.
5. Cloudera
Cloudera is valued at $61 million. It offers services, software and training specifically related to the Apahce Hadoop-based programs.
The software and services provided by these companies impact nearly all major businesses, industries and products. They impact what business offer, where they offer them and how they advertise them to consumers. Every advertisement, new store opening or creation of a new product is at least somewhat related to big data analysis. It is the directional force of modern business.
Sources:
http://www.sas.com/en_us/insights/big-data/what-is-big-data.html
http://www.forbes.com/sites/gilpress/2013/02/22/top-ten-big-data-pure-plays/
http://www.whatsabyte.com/
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Is the U.S. the Leading Software Development Country?
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When making a strategic cloud decision, organizations can follow either one of two ideologies: open or closed.
In the past, major software technologies have been widely accepted because an emerging market leader simplified the initial adoption. After a technology comes of age, the industry spawns open alternatives that provide choice and flexibility, and the result is an open alternative that quickly gains traction and most often outstrips the capabilities of its proprietary predecessor.
After an organization invests significantly in a technology, the complexity and effort required steering a given workload onto a new system or platform is, in most cases, significant. Switching outlays, shifting to updated or new software/hardware platforms, and the accompanying risks may lead to the ubiquitousness of large, monolithic and complex ERP systems – reason not being that they offer the best value for an organization, but rather because shifting to anything else is simply – unthinkable.
There’s no denying that these are critical considerations today since a substantial number of organizations are making their first jump into the cloud and making preparations for the upsetting shift in how IT is delivered to both internal and external clientele. Early adopters are aware of the fact that the innovation brought about by open technologies can bring dramatic change, and hence are realizing how crucial it is to be able to chart their own destiny.
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?
Learning SQL development can seem like an overwhelming task at first. However, mastering just a few key points will help ease your way through 80 percent of the day-to-day challenges when writing stored procedures and solving common problems. Here are three important SQL development factors to keep in mind:
Outer Joins
One of the most crucial things to understand in SQL server are joins. Joins are a way to retrieve data from two or more tables based on logical relationships between them. Joins dictate how Microsoft SQL Server ought to use data from one table to select the rows in another table.
In my experience inner joins are intuitive while outer joins can present additional hours of grief by overlooking associations in the other table(s). The outer join is the key to answering questions about what the database does not have. For example, if you need to make a query to display all the students who are without report-cards, you’ll need a left join to get all students coupled with a “where clause” to return the ones who have nulls for their report card table columns in the results.
Many talented Java script programmers have muddled through the SQL Server by deficient coding around the inner join. As a result, their queries can take five hours to run, whereas, properly written left joins, can take only two seconds to run.
Aggregation
Grouping results comes up in SQL a lot more than you might think. Knowing how to write a query when answering questions such as, “What’s the average grade for each teacher’s student list?” is invaluable. This kind of question cannot be answered with a single table or solely by joins. You’ll often find you need to use joins in conjunction with group by statements. Always write the raw query first and then look at the results. Next, you have to figure out the best way to group them, rewrite your select clause and add a group by clause in the end.
Digging Through Data
I find this is the most lacking skill in many programmers. In fact, many otherwise-talented programmers holding Master’s Degrees fail to get jobs because they couldn’t analyze rows of data objectively during interviews. It’s just something that’s not taught but is crucial to get under you belt. Why? Eventually, some query is not going to perform as you may expect. And, the only way to find discrepancies is to look at rows of data, identify what join isn’t finding a match or where bad data is throwing things into chaos. Get familiar with how joins actually work, even if you have to manually walk through the logic of a large stored procedure’s tree of joins. It’s boring and time-consuming but absolutely necessary.
Take the time to master the core skills that will make you a successful SQL Programmer and avoid queries that run for five hours!
Tech Life in New York
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
NYSE Euronext, Inc. | New York | Financial Services | Securities Agents and Brokers |
Anderson Instrument Company Inc. | Fultonville | Manufacturing | Tools, Hardware and Light Machinery |
News Corporation | New York | Media and Entertainment | Radio and Television Broadcasting |
Philip Morris International Inc | New York | Manufacturing | Manufacturing Other |
Loews Corporation | New York | Travel, Recreation and Leisure | Hotels, Motels and Lodging |
The Guardian Life Insurance Company of America | New York | Financial Services | Insurance and Risk Management |
Jarden Corporation | Rye | Manufacturing | Manufacturing Other |
Ralph Lauren Corporation | New York | Retail | Clothing and Shoes Stores |
Icahn Enterprises, LP | New York | Financial Services | Investment Banking and Venture Capital |
Viacom Inc. | New York | Media and Entertainment | Media and Entertainment Other |
Omnicom Group Inc. | New York | Business Services | Advertising, Marketing and PR |
Henry Schein, Inc. | Melville | Healthcare, Pharmaceuticals and Biotech | Medical Supplies and Equipment |
Pfizer Incorporated | New York | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
Eastman Kodak Company | Rochester | Computers and Electronics | Audio, Video and Photography |
Assurant Inc. | New York | Business Services | Data and Records Management |
PepsiCo, Inc. | Purchase | Manufacturing | Nonalcoholic Beverages |
Foot Locker, Inc. | New York | Retail | Department Stores |
Barnes and Noble, Inc. | New York | Retail | Sporting Goods, Hobby, Book, and Music Stores |
Alcoa | New York | Manufacturing | Metals Manufacturing |
The Estee Lauder Companies Inc. | New York | Healthcare, Pharmaceuticals and Biotech | Personal Health Care Products |
Avon Products, Inc. | New York | Healthcare, Pharmaceuticals and Biotech | Personal Health Care Products |
The Bank of New York Mellon Corporation | New York | Financial Services | Banks |
Marsh and McLennan Companies | New York | Financial Services | Insurance and Risk Management |
Corning Incorporated | Corning | Manufacturing | Concrete, Glass, and Building Materials |
CBS Corporation | New York | Media and Entertainment | Radio and Television Broadcasting |
Bristol Myers Squibb Company | New York | Healthcare, Pharmaceuticals and Biotech | Biotechnology |
Citigroup Incorporated | New York | Financial Services | Banks |
Goldman Sachs | New York | Financial Services | Personal Financial Planning and Private Banking |
American International Group (AIG) | New York | Financial Services | Insurance and Risk Management |
Interpublic Group of Companies, Inc. | New York | Business Services | Advertising, Marketing and PR |
BlackRock, Inc. | New York | Financial Services | Securities Agents and Brokers |
MetLife Inc. | New York | Financial Services | Insurance and Risk Management |
Consolidated Edison Company Of New York, Inc. | New York | Energy and Utilities | Gas and Electric Utilities |
Time Warner Cable | New York | Telecommunications | Cable Television Providers |
Morgan Stanley | New York | Financial Services | Investment Banking and Venture Capital |
American Express Company | New York | Financial Services | Credit Cards and Related Services |
International Business Machines Corporation | Armonk | Computers and Electronics | Computers, Parts and Repair |
TIAA-CREF | New York | Financial Services | Securities Agents and Brokers |
JPMorgan Chase and Co. | New York | Financial Services | Investment Banking and Venture Capital |
The McGraw-Hill Companies, Inc. | New York | Media and Entertainment | Newspapers, Books and Periodicals |
L-3 Communications Inc. | New York | Manufacturing | Aerospace and Defense |
Colgate-Palmolive Company | New York | Consumer Services | Personal Care |
New York Life Insurance Company | New York | Financial Services | Insurance and Risk Management |
Time Warner Inc. | New York | Media and Entertainment | Media and Entertainment Other |
Cablevision Systems Corp. | Bethpage | Media and Entertainment | Radio and Television Broadcasting |
CA Technologies, Inc. | Islandia | Software and Internet | Software |
Verizon Communications Inc. | New York | Telecommunications | Telephone Service Providers and Carriers |
Hess Corporation | New York | Energy and Utilities | Gasoline and Oil Refineries |
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 York 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 C# Programming programming
- Get your questions answered by easy to follow, organized C# Programming experts
- Get up to speed with vital C# Programming 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…