Oracle, MySQL, Cassandra, Hadoop Database Training Classes in Pierre, South Dakota
Learn Oracle, MySQL, Cassandra, Hadoop Database in Pierre, SouthDakota 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 Pierre, South Dakota: Oracle, MySQL, Cassandra, Hadoop Database Training
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- RED HAT ENTERPRISE LINUX SYSTEMS ADMIN II
18 August, 2025 - 21 August, 2025 - OpenShift Fundamentals
9 June, 2025 - 11 June, 2025 - Introduction to Spring 6, Spring Boot 3, and Spring REST
25 August, 2025 - 29 August, 2025 - RED HAT ENTERPRISE LINUX SYSTEMS ADMIN I
19 May, 2025 - 23 May, 2025 - Object Oriented Analysis and Design Using UML
9 June, 2025 - 13 June, 2025 - See our complete public course listing
Blog Entries publications that: entertain, make you think, offer insight
I will begin our blog on Java Tutorial with an incredibly important aspect of java development: memory management. The importance of this topic should not be minimized as an application's performance and footprint size are at stake.
From the outset, the Java Virtual Machine (JVM) manages memory via a mechanism known as Garbage Collection (GC). The Garbage collector
- Manages the heap memory. All obects are stored on the heap; therefore, all objects are managed. The keyword, new, allocates the requisite memory to instantiate an object and places the newly allocated memory on the heap. This object is marked as live until it is no longer being reference.
- Deallocates or reclaims those objects that are no longer being referened.
- Traditionally, employs a Mark and Sweep algorithm. In the mark phase, the collector identifies which objects are still alive. The sweep phase identifies objects that are no longer alive.
- Deallocates the memory of objects that are not marked as live.
- Is automatically run by the JVM and not explicitely called by the Java developer. Unlike languages such as C++, the Java developer has no explict control over memory management.
- Does not manage the stack. Local primitive types and local object references are not managed by the GC.
So if the Java developer has no control over memory management, why even worry about the GC? It turns out that memory management is an integral part of an application's performance, all things being equal. The more memory that is required for the application to run, the greater the likelihood that computational efficiency suffers. To that end, the developer has to take into account the amount of memory being allocated when writing code. This translates into the amount of heap memory being consumed.
Memory is split into two types: stack and heap. Stack memory is memory set aside for a thread of execution e.g. a function. When a function is called, a block of memory is reserved for those variables local to the function, provided that they are either a type of Java primitive or an object reference. Upon runtime completion of the function call, the reserved memory block is now available for the next thread of execution. Heap memory, on the otherhand, is dynamically allocated. That is, there is no set pattern for allocating or deallocating this memory. Therefore, keeping track or managing this type of memory is a complicated process. In Java, such memory is allocated when instantiating an object:
String s = new String(); // new operator being employed String m = "A String"; /* object instantiated by the JVM and then being set to a value. The JVM calls the new operator */
In Python, we can create three types of methods in a class: instance or regular method, classmethod and staticmethod. Instance methods are associated, as the name infers, with an instance or object of the class and take self as the first parameter. Classmethods take a reference to the class, cls, as the first parameter of the class. Staticmethods, for the most part, are convenience methods that could be declared as functions since they really do not have much to do with the class itself. They were probably added at some time after the advent of Python in order to make the language more object oriented i.e. minimize the number of free floating functions.
Refer the our article static, class and regular methods in Python for a detailed explanation on this subject.
In May 2012 Google Chrome hit a milestone. It kicked Microsoft's Internet Explorer into excess phone oh that oh that second place as the most used browser on planet Earth.
With Microsoft being in second place, it makes a dark hole for Firefox coming in at number three. Google likes to trumpet three key reasons: security, simplicity and speed.
Available for free on Android, Linux, Mac, and Windows. It gets its speed from the open source JavaScript engine written in C++ known as V8.
In my daily use I use Microsoft's Internet Explorer version 10, Apple's Safari (on OS X) and chrome on both Windows 8 and OS X.
Admittedly people do not know anything about Internet Explorer version 10 since you can only get it on Windows 8/RT.
I do not need a crystal ball to know that the Mother of All Browser Battles is set to begin in the fall of 2012 and beyond.
I have said this before and I'm going to say it again.
Attempting to create an intelligent entry about Linux for such a wide ranging audience is a bit like trying to compare a presentation on quantum mechanics for physicists while being readable by somebody with a junior high school education.
If you are a *NIX expert, then I suggest you keep on reading so you know how to explain this world to mere mortals.
I called it *nix for a reason. It represents a family of thinking. It is not unlike the difference between the language C and C++. Are there differences between the two? Certainly. And it is not like the difference between COBOL and C.
Years ago when I ran my own vo-tech school I would teach the students there are only two things in life. MS and *NIX. A friend of mine, a genius developer in her own right was aghast.
Tech Life in South Dakota
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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 South Dakota 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…