Digital Marketing Certfication Course

ava becomes one of the most popular programming languages with several reasons. This programming language has many advantages, such as can run in different operating system, Object Oriented Programming (OOP), and has complete library that will greatly facilitate programmers, so it's very powerful. And today is the era where Android smartphones are very widely used. Applications in the Android smartphone are built using the Java language. Java is open source technology. It means you can see the source code, and develop and custom it according to your own purpose. Java is used to develop various types of applications, from console application, desktop application, enterprise-scale application, to mobile application. To fulfill the different applications needs, Java categorized into three editions: Java SE (Standard Edition) - to develop desktop application and client-server application. Java EE (Enterprise Edition) - to develop multi-tier enterprise-scale application. Ja

Anyone can run Kubernetes containers for office applications. But what if the office in question is an F-16 fighter jet? As part of its work on the Defense Department's Enterprise DevSecOps Initiative, the Air Force is increasingly deploying solutions like Kubernetes, the open-source platform for managing containerized workloads and services, to deliver advanced capabilities to warfighters. The Air Force's SoniKube software factory is one of the DOD enterprise development shops dedicated to delivering software tools and automated services so that programs can build and deploy secure, flexible and interoperable applications. SoniKube was challenged by Nicolas Chaillan, chief software officer for the Air Force and co-lead for the DOD Enterprise DevSecOps Initiative, to install Kubernetes on the legacy hardware in F-16s. “One point for the team was to demonstrate that it could be done,” Chaillan said in his keynote presentation at KubeCon 2019 in San Diego. In just

Building and deploying new applications is faster with containers. Docker containers wrap up software and its dependencies into a standardized unit for software development that includes everything it needs to run: code, runtime, system tools and libraries. This guarantees that your application will always run the same and makes collaboration as simple as sharing a container image. Docker containers whether Windows or Linux are backed by Docker tools and APIs and help you build better software: Onboard faster and stop wasting hours trying to set up development environments, spin up new instances and make copies of production code to run locally. Enable polyglot development and use any language, stack or tools without worry of application conflicts. Eliminate environment inconsistencies and the "works on my machine" problem by packaging the application, configs and dependencies into an isolated container. Alleviate concern over application security [Source]-ht

Why Learn R? A good data scientist is a passionate coder-slash-statistician, and there’s no better programming language for a statistician to learn than R. The standard among statistical programming languages, R is sometimes called the “golden child” of data science. It’s a popular skill among Big Data analysts, and data scientists skilled in R are sought after by some of the biggest brands, including Google, Facebook, Bank of America, and the New York Times. Also, R’s commercial applications increase by the minute, and companies appreciate its versatility. If you’re intrigued and want to know why you should learn R, here are a few more reasons why you should add R to your skillset: 1. R is Open-source and Freely Available Unlike SAS or Matlab, you can freely install, use, update, clone, modify, redistribute and resell R. This saves companies money, but it also allows for easy upgrades, which is useful for a statistical programming language. 2. R is Cross-platform Co

Let’s take one of the standard examples of an inheritance tree: we have a superclass Animal, from which we derive subclasses Mammal and Reptile, which are further divided into concrete subclasses such as Cat, Dog and Snake. Now, suppose you want to create a variable pets, containing a collection of Cat, Dog and Snake objects. If you have seen anything about Java generics at all, you will probably guess that the code looks somewhat like this: &nbsp;&nbsp;&nbsp;&nbsp;Collection<Animal> myPets = new ArrayList<Animal>(); &nbsp;&nbsp;&nbsp;&nbsp;myPets.add(new Dog("Roger")); &nbsp;&nbsp;&nbsp;&nbsp;myPets.add(new Cat("Miss Fluffy")); &nbsp;&nbsp;&nbsp;&nbsp;myPets.add(new Snake("Hissy")); After all, dogs, cats and snakes are all animals, so any collection of animals should be able to accept objects of type Dog, right? Right! There’s nothing wrong with this at al

Build skills to maximize your cloud investment To get a better sense of AWS Training, we asked five Global Knowledge AWS instructors and subject matter experts to get their thoughts on our findings compared to what they see and hear in the classroom. Our experts were all in agreement about the value of training and certification, especially when it comes to AWS. “Training jumpstarts the process of getting into the cloud, hopefully giving the student enough guidance to avoid foolish errors. Certification seeks to guarantee a common level of expertise, meaning that students and their organizations are not constantly ‘re-inventing the wheel,’” said Jon Gallagher, who holds both the AWS Certified DevOps Engineer - Professional and AWS Certified Solutions Architect – Professional certifications. Richard Jones, who holds the AWS Certified Solutions Architect – Professional certification, was more forthright with his response: “Well, it’s one thing to use AWS; it’s another to use

What Is Big Data Analytics? Big Data Analytics is a complete process of examining large sets of data through varied tools and processes in order to discover unknown patterns, hidden correlations, meaningful trends, and other insights for making data-driven decisions in the pursuit of better results. Big Data Types Big Data is primarily measured by the volume of the data. But along with that, Big Data also includes data that is coming in fast and at huge varieties. Primarily, there are three types of Big Data, namely: Structured Data Unstructured Data Semi-structured Data Big Data can be measured in terms of terabytes and more. Sometimes, Big Data can cross over petabytes. The structured data includes all the data that can be stored in a tabular column. The unstructured data is the one that cannot be stored in a spreadsheet; and semi-structured data is something that does not conform with the model of the structured data. You can still search semi-structured data

Common Mistake #1: Developing for iOS To my great pleasure, this Android mistake is far less common nowadays (partially because clients are beginning to realize that the days when Apple was setting all the design standards are long gone). But still, every now and then, we see an app that is an iOS clone. Don’t get me wrong, I’m not an Android programming evangelist! I respect every platform that moves the mobile world a step forward. But, it’s 2014 and users have been using Android for quite a while now, and they’ve grown accustomed to the platform. Pushing iOS design standards to them is a terrible strategy! Unless there is a super good reason for breaking the guidelines, don’t do it. (Google does this all the time, but never by copy-pasting.) Here are some of the most common examples of this Android mistake: You should not be making static tabs, and they don’t belong on the bottom (I’m pointing at you Instagram). System notification icons should not have color. App icons

Kubernetes made a splash when it brought containerized app management to the world a few years back. Now, many of us are using it in production to deploy and manage apps at scale. Along the way, we’ve gathered tips and best practices on using Kubernetes and Google Kubernetes Engine (GKE) to your best advantage. Here are some of the most popular posts on our site about deploying and using Kubernetes. Use Kubernetes Namespaces for easier resource management. Simple tasks get more complicated as you build services on Kubernetes. Using Namespaces, a sort of virtual cluster, can help with organization, security, and performance. This post shares tips on which Namespaces to use (and not to use), how to set them up, view them, and create resources within a Namespace. You’ll also see how to manage Namespaces easily and let them communicate. Use readiness and liveness probes for health checks. Managing large, distributed systems can be complicated, especially when something goes wron

To become a great Java developer, knowing the programming language is not enough. You must be excellent in Java programming and coding to make a good application. This year, in 2019, just don’t sit around with the same level of Java programming skills, rather hone your Java skills to become the best Java Programmer. Since Java is one of the hottest programming languages, remember that you are not alone in the competition. According to a report, there are around 9 million of enthusiastic Java developers in the world, who have good insight on technology, and they are also willing to learn new developments in Java, such as Java 8, JDK 10, and JVM internals. For a Java app development company to overlook all of them and hire you as their new Java software developer, who will help them make a robust Java application needs some difference in skills, efficiency, and perspective on your part. So, if you are seeking to know how to get better at Java, then you have reached the