Linux Unix Training Classes in Burlington, North Carolina

Hartmann Software Group Linux Training

Learn Linux Unix in Burlington, NorthCarolina and surrounding areas via our hands-on, expert led courses. All of our classes are offered on an onsite, online and public instructor led basis. Here is a list of our current Linux Unix related training offerings in Burlington, North Carolina: Linux Unix Training

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Burlington  Upcoming Instructor Led Online and Public Linux Unix Training Classes
Enterprise Linux System Administration Training/Class 2 December, 2019 - 6 December, 2019 $2190
HSG Training Center
Burlington, North Carolina
Hartmann Software Group Training Registration
LINUX PERFORMANCE TUNING AND ANALYSIS Training/Class 21 October, 2019 - 24 October, 2019 $2490
HSG Training Center
Burlington, North Carolina
Hartmann Software Group Training Registration
LINUX SHELL SCRIPTING Training/Class 13 November, 2019 - 14 November, 2019 $990
HSG Training Center
Burlington, North Carolina
Hartmann Software Group Training Registration
Linux System Administration (LFS301) Training/Class 21 October, 2019 - 24 October, 2019 $2600
HSG Training Center
Burlington, North Carolina
Hartmann Software Group Training Registration
Linux Troubleshooting Training/Class 9 December, 2019 - 13 December, 2019 $2290
HSG Training Center
Burlington, North Carolina
Hartmann Software Group Training Registration
Docker Training/Class 28 October, 2019 - 30 October, 2019 $1690
HSG Training Center
Burlington, North Carolina
Hartmann Software Group Training Registration
ENTERPRISE LINUX HIGH AVAILABILITY CLUSTERING Training/Class 18 November, 2019 - 21 November, 2019 $2590
HSG Training Center
Burlington, North Carolina
Hartmann Software Group Training Registration
GLUSTERFS STORAGE ADMINISTRATION Training/Class 21 October, 2019 - 23 October, 2019 $1690
HSG Training Center
Burlington, North Carolina
Hartmann Software Group Training Registration
ANSIBLE Training/Class 3 February, 2020 - 5 February, 2020 $1990
HSG Training Center
Burlington, North Carolina
Hartmann Software Group Training Registration
DOCKER WITH KUBERNETES ADMINISTRATION Training/Class 2 December, 2019 - 6 December, 2019 $2490
HSG Training Center
Burlington, North Carolina
Hartmann Software Group Training Registration
HADOOP FOR SYSTEMS ADMINISTRATORS Training/Class 16 December, 2019 - 18 December, 2019 $1890
HSG Training Center
Burlington, North Carolina
Hartmann Software Group Training Registration
KUBERNETES ADMINISTRATION WITH HELM Training/Class 18 November, 2019 - 21 November, 2019 $2490
HSG Training Center
Burlington, North Carolina
Hartmann Software Group Training Registration
RED HAT SATELLITE V6 (FOREMAN/KATELLO) ADMINISTRATION Training/Class 9 December, 2019 - 12 December, 2019 $2590
HSG Training Center
Burlington, North Carolina
Hartmann Software Group Training Registration

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Linux Unix Training Catalog

cost: $ 1990length: 3 day(s)

DevOps Classes

cost: $ 1690length: 3 day(s)

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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.

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!

If you’re interested in building modern websites or applications which use ASP, XML, or mobile technology, you’ve heard of Visual Studio .NET.  It is one of the more popular suites of development tools available to aspiring programmers, as it consolidates several different tools and languages into the same development environment, which helps in turn to integrate this code across development languages.  Here are three important benefits to using the visual studio suite:

·         Use of Visual J# - This development tool is specifically oriented towards people who already are familiar with basic Java syntax, and is designed for use by those people to build apps or services which will then run on the Microsoft .NET Framework.  This is useful because it fully supports Microsoft Extensions, among other reasons.  Visual J# was developed completely independently by Microsoft.

·         Utility for Smart Devices – Another huge benefit of using visual studio .NET is the ability to immediately integrate your programming efforts with deployment across a variety of smart devices.  PDAs, smartphones, Pocket PCs, and any device which has a limited amount of resources all require a compact framework for the programming of applications it is designed to run.

·         XML Web Usage and Support – Because XML services aren’t married to any particular technology or programming language, they can be accessed by any system, and this broad-based utility has made the services increasingly popular.  Visual Studio .NET takes advantage of this by fully integrating with XML services, including the ability to create and edit them from scratch.

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?

Python, a Zen Poem

Tech Life in North Carolina

The University of North Carolina Chapel Hill is the oldest State University in the United States. There are significant ?firsts? in this state one being, the first state to own an art museum and second was to vote in the first African-American member, Hiram Rhoades Revels, into the United States Congress. Higher education is a given with a total of 2,425 public schools in the state, including 99 charter schools.
In programming, the hard part isn't solving problems, but deciding what problems to solve. Paul Graham
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Software developers near Burlington 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 North Carolina that offer opportunities for Linux Unix developers
Company Name City Industry Secondary Industry
Branch Banking and Trust / BBandT Winston Salem Financial Services Banks
UTC Aerospace Systems Charlotte Manufacturing Aerospace and Defense
R.J. Reynolds Tobacco Company Winston Salem Manufacturing Manufacturing Other
Family Dollar Stores, Inc. Matthews Retail Department Stores
Duke Energy Corporation Charlotte Energy and Utilities Gas and Electric Utilities
Lowe's Companies, Inc. Mooresville Retail Hardware and Building Material Dealers
Nucor Corporation Charlotte Manufacturing Metals Manufacturing
VF Corporation Greensboro Manufacturing Textiles, Apparel and Accessories
Bank of America Charlotte Financial Services Banks
Laboratory Corporation of America Burlington Healthcare, Pharmaceuticals and Biotech Diagnostic Laboratories
Sonic Automotive, Inc. Charlotte Retail Automobile Dealers
SPX Corporation Charlotte Manufacturing Tools, Hardware and Light Machinery
The Pantry, Inc. Cary Retail Gasoline Stations

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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 North Carolina 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 Linux Unix programming
  • Get your questions answered by easy to follow, organized Linux Unix experts
  • Get up to speed with vital Linux Unix 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.