Get yourself trained on Learning Java 9 with this Online Training Learning Java 9 Modular Programming.
Online Training Learning Java 9 Modular Programming
Modularity is a general concept which applies to writing and implementing a program or computing system as a number of unique modules, rather than as a single, monolithic design. If you’re interested in building a standardized interface to enable the modules to communicate you would need to partition your environment of software constructs into distinct modules to help minimize coupling, optimize application development, and reduce system complexity.The course starts by diving deep into Advanced Object Oriented concepts like inner classes, object composition, encapsulation, and polymorphism which will be demonstrated through a simple extension to a vehicle modeling example. We will then demonstrate how to correctly managing external dependencies in Java with the use of Maven. Here, you will build strong foundations on firstly how to correctly structure a Java Maven project, before working through a hands-on example of parsing a CSV file using the Apache Commons library, providing a clear example of the benefits of using third-party libraries to accomplish common tasks. Moving along, you will be exposed to one of the major new features of Java 9: Project Jigsaw. Project Jigsaw is one of the most substantial changes to the Java programming language in recent years, we will discuss the goals of the project, as well as the impact it will have on our world. We will conclude the product with an example of how a modularise a larger and more complicated Java application. Taking this course will teach you how to correctly structure Java projects, starting with Maven dependency management, and moving on to project Jigsaw – the modularisation of the Java language. Filled with examples to leverage external dependencies to solve common problems, such as parsing a JSON file you will also learn how to use inner classes the right way.Exploring concepts of composition, encapsulation, and polymorphism will enable scalability down to small computing devices, Improved application performance; Making it easier for developers to construct and maintain libraries and large applications.About The AuthorColibri is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and cloud computing. Over the past few years it has worked with some of the world’s largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the world’s most popular soft drinks companies, helping each of them make better sense of its data and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action.James Cross is a Big Data Engineer and certified AWS Solutions Architect with a passion for data-driven applications. Hes spent the last 3-5 years helping his clients to design and implement huge scale streaming Big Data platforms, Cloud-based analytics stacks, and serverless architectures.He started his professional career in Investment Banking, working with well-established technologies such as Java and SQL Server, before moving into the Big Data space. Since then hes worked with a huge range of Big Data tools including most of the Hadoop eco-system, Spark and many No-SQL technologies such as Cassandra, MongoDB, Redis and DynamoDB. More recently his focus has been on Cloud technologies and how they can be applied to data analytics, culminating in his work at Scout Solutions as CTO, and more recently with Mckinsey.James is an AWS certified solutions architect with several years experience designing and implementing solutions on this cloud platform. As CTO of Scout Solutions Ltd, he built a fully serverless set of APIs and analytics stack based around Lambda and Redshift.Colibri is a technology consultancy company founded in 2015 by James Cross and the company works to help their clients navigate the rapidly changing and complex world of emerging technologies.He is interested in almost anything that has to do with technology. He has worked with everything from WordPress to Hadoop, from C++ to Java, and from Oracle to DynamoDB. If it’s new and solves a problem in an innovative way hes keen to give it a go!
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.