Linux Unix Training Classes in Rostock, Germany

Learn Linux Unix in Rostock, Germany 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 Linux Unix related training offerings in Rostock, Germany: Linux Unix Training

We offer private customized training for groups of 3 or more attendees.
Rostock  Upcoming Instructor Led Online and Public Linux Unix Training Classes
Linux Troubleshooting Training/Class 7 December, 2020 - 11 December, 2020 $2290
HSG Training Center
Rostock, Germany
Hartmann Software Group Training Registration
Enterprise Linux System Administration Training/Class 2 November, 2020 - 6 November, 2020 $2190
HSG Training Center
Rostock, Germany
Hartmann Software Group Training Registration
Docker Training/Class 16 November, 2020 - 18 November, 2020 $1690
HSG Training Center
Rostock, Germany
Hartmann Software Group Training Registration
DOCKER WITH KUBERNETES ADMINISTRATION Training/Class 7 December, 2020 - 11 December, 2020 $2490
HSG Training Center
Rostock, Germany
Hartmann Software Group Training Registration
ENTERPRISE LINUX HIGH AVAILABILITY CLUSTERING Training/Class 9 November, 2020 - 12 November, 2020 $2590
HSG Training Center
Rostock, Germany
Hartmann Software Group Training Registration
HADOOP FOR SYSTEMS ADMINISTRATORS Training/Class 16 November, 2020 - 18 November, 2020 $1890
HSG Training Center
Rostock, Germany
Hartmann Software Group Training Registration
LINUX SHELL SCRIPTING Training/Class 23 November, 2020 - 24 November, 2020 $990
HSG Training Center
Rostock, Germany
Hartmann Software Group Training Registration

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cost: $ 1390length: 4 day(s)
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cost: $ 2090length: 5 day(s)

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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.

As part of our Java Tutorials program, we will list a number of interview questions to aid in a better understaing of Java and J2EE and, hopefully, provide a greater likelihood of getting a job.  Let us begin with the basics:

1. What is meant by J2EE?

J2EE is an abreviation for Java 2 Platform Enterprise Edition

2.  What is the purpose of J2EE?

The purpose of J2EE is to provide a component based platform in a multitier application model with transaction management, web services and reusable component support.

3.  What is the tier structure of the typical J2EE application?

A typical J2EE application consists of the following tiers/machines:  the client machine (browser/non-browser application), the J2EE server (an application server such as Oracle, JBoss, GlassFish, Tomcat) and a database.

F# is excellent for specialties such as scientific computing and data analysis. It is an excellent choice for enterprise development as well. There are a few great reasons why you should consider using F# for your next project.

Concise

F# is not cluttered up with coding noise;  no pesky semicolons, curly brackets, and so on. You almost never have to specify the kind of object you're referencing because of its powerful type inference system. It usually takes fewer lines of code to solve the same issue.

Convenient

Common programming tasks are much easier in F#. These include generating and using state machines, comparison and equality, list processing, as well as complex type definitions. It is very easy to generate powerful and reusable code because functions are first class objects. This is done by creating functions that have other functions as parameters or that combine existing functions to generate a new functionality.

Correctness

F# has a strong type system, and, therefore, prevents many common errors such as null reference exceptions. Valuables are immutable by default which, too, prevents a huge class of errors. You can also encode business logic by utilizing the type system. When done correctly, it is impossible to mix up units of measure or to write incorrect code thereby decresing the need of unit tests.

Concurrency

F# has number of built-in libraries. These libraries help when more than one thing at a time is occurring. Parallelism and asynchronous programming are very simple. There is also a built-in actor model as well as excellent support for event handling and functional reactive programming. Sharing state and avoiding locks are much easier because data structures are immutable by default.

Completeness

F# also supports other styles that are not 100 percent pure. This makes it easier to interact with the non-pure world of databases, websites, other applications, and so on. It is actually designed as a hybrid functional/OO language. F# is also part of the .NET ecosystem. This gives you seamless access to all the third party .NET tools and libraries. It operates on most platforms. These platforms include Linux and smartphones via mono. Visual Studio is integrates with F# as well. This means you get many plug-ins for unit tests, a debugger, a IDE with IntelliSense support, other development tasks. You can use MonoDevelop IDE on Linux.

Related:

F# - Marching Towards Top 10 Programming Languages

What Are the Advantages of Python Over Ruby?

Top 10 Programming Languages Expected To Be In Demand in 2014

 
One of the biggest threats facing small businesses right now is cyber security. Hackers have figured out that small business don’t have robust systems; therefore, they are easy for the picking. If you are a small business owner, you know how limited your resources are. As such, every dollar counts. Therefore, you can’t afford to lose customers, deal with lawsuits caused by data breaches or pay IT help staff to try to fix the issue. Below are some of the IT risks faced by your business and potential consequences. Try your best avoid them at all costs. 
 
1. Phishing 
 
This is perhaps one of the easiest ways to detect if a hacker is trying to get into your system. If you happen to receive an email that claims to be from a financial institution and asks you to provide certain data, ignore it. In fact, delete it. This is because once you make the mistake of opening such a mail or clicking the link provided, you provide a gateway for hackers to penetrate your system and steal information. For this reason, it's vital that all employees  are aware of such emails and delete them without clicking on any links.
 
2. Passwords 
 
Another way that hackers can attack a small business is by cracking system passwords. If the hackers manage to crack the password of even a single employee, they can use that person’s account to gain unrestricted access to confidential company records. Therefore, tell your workers that they should never forgo strong password creation procedures. They should take their time to create a password that can’t be easily cracked. 
 
3. Vulnerable Devices 
 
In your small business, you probably use printers, routers, and other electronic hardware to execute office tasks. Most of the time, such pieces of hardware are connected to your firm’s network. If you have not updated the software on these machines, hackers can use them to gain access to your network and steal invaluable information. Therefore, make sure that you install patches in all electronic devices connected to your network. 
 
4. Lack of Data Encryption 
 
In the modern age, you can send information through various electronic devices. Some of those machines can have inbuilt security features to protect the data while others may not have. Data from the vulnerable devices can be easily intercepted by hackers. If the information is your password, your network is no longer safe. To counter such interceptions, always encrypt your data before your send it. 
 
5. Seemingly Misplaced USB Drives 
 
Some hackers will infect a USB drive with malware and then drop it outside your offices. An unknowing worker may pick up the drive and use it on a company computer. Immediately the drive is plugged in, it releases the malware and creates a unique access point for the hacker, allowing them to steal information. To avoid such a scenario, warn your employees against using any USB drives without a proper source. 
 
 
Managing a small business means that you’re a lean, mean business machine. Often, it’s just you and a few trusted staff members. This is the reason, business owners need to have solid knowledge of where and how most important data is held. Whether it’s on site, in traditional desktops and servers, or in cloud services or mobile devices including those "BYOD" devices of your employees, in order to avoid risks, always pay attention to your enviroment. It's important to make sure that you regularly update your system, train your employees, update software and fix bugs. Often, many IT issues are caused by the smallest, almost unapparent mistakes that will affect how a program runs or a web page looks. You might not see IT as your highest priority, but in the right hands, it can become your most powerful tool for growth. 

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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 Germany 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.