AWS:

Amazon Web Services (AWS) is a secure cloud services platform, offering compute power, database storage, content delivery and other functionality to help businesses scale and grow. AWS allows you to do the following things:
• Running web and application servers in the cloud to host dynamic websites.
• Securely store all your files on the cloud so you can access them from anywhere.
• Using managed databases like MySQL, PostgreSQL, Oracle or SQL Server to store information.
• Deliver static and dynamic files quickly around the world using a Content Delivery Network (CDN).
• Send bulk email to your customers.


Devops:

Devops is a set of practices that combines software development and information-technology operations which aims to shorten the systems development life cycle and provide continuous delivery with high software quality. DevOps accelerate the process to deliver applications and software services at high speed and high velocity. In today’s competitive software Industry, Automation and AI plays a major role and to stay ahead in the market and attract your stakeholders and customer we must transform and adapt the DevOps Best Practices.
You need devops:
• To stay ahead in the market as competitors are already doing this.
• To increase velocity of the team as well as product delivery.
• To reduce downtime and within a minimum time limits, update the changes on the production.
• To reduce human error by doing all work automated.

Java:
Java is a general-purpose programming language that is class-based, object-oriented, and designed to have as few implementation dependencies as possible. Java is a widely used programming language expressly designed for use in the distributed environment of the internet. It is the most popular programming language for Android smartphone applications and is also among the most favoured for the development of edge devices and the internet of things. Java is a MUST for students and working professionals to become a great Software Engineer specially when they are working in Software Development Domain. Some of the key advantages of learning Java Programming:
• Object Oriented − In Java, everything is an Object. Java can be easily extended since it is based on the Object model.
• Platform Independent − Unlike many other programming languages including C and C++, when Java is compiled, it is not compiled into platform specific machine, rather into platform independent byte code.
• Simple − Java is designed to be easy to learn. If you understand the basic concept of OOP Java, it would be easy to master.
• Secure − With Java's secure feature it enables to develop virus-free, tamper-free systems. Authentication techniques are based on public-key encryption.
• Portable − Being architecture-neutral and having no implementation dependent aspects of the specification makes Java portable. Compiler in Java is written in ANSI C with a clean portability boundary, which is a POSIX subset.

Selenium Testing:
Selenium is a portable framework for testing web applications. Selenium provides a playback tool for authoring functional tests without the need to learn a test scripting language. Selenium is an open source tool which is used for automating the tests carried out on web browsers.

The benefits of Selenium for Test Automation are immense. Amongst the many benefits, Selenium is an Open-Source tool and is easy to get started with for functional testing of web applications. Importantly, it enables record and playback for testing web applications and can run multiple scripts across various browsers.

Some key Test Automation benefits are:
• It ensures higher ROI on the initially huge investments done.
• You can test 24*7 from a remotely held device as well.
• There is less manual intervention, so the possibility of errors diminishes.
• It makes the test scripts reusable – need new scripts every time even with changes in the version of the OS on the device and the tests can recur without any errors.
• Automation helps you find bugs at an early stage.
• Automated tests make the process more reliable and the tests more dependable.
• Most importantly, it enables testing in volumes. For instance, it allows you to run tests on thousands of mobile devices. Now, this is impossible with Manual Testing.


Big Data Hadoop:

Hadoop is an open-source software framework used for storing and processing. Big data is a collection of large datasets that cannot be processed using traditional computing techniques.

It is not a single technique or a tool, rather it has become a complete subject, which involves various tools, techniques and frameworks.

Big data involves the data produced by different devices and applications. Big data technologies are important in providing more accurate analysis, which may lead to more concrete decision-making resulting in greater operational efficiencies, cost reductions, and reduced risks for the business.
To harness the power of big data, you would require an infrastructure that can manage and process huge volumes of structured and unstructured data in real time and can protect data privacy and security. There are various technologies in the market from different vendors including Amazon, IBM, Microsoft, etc., to handle big data.

It stores data in a distributed fashion on clusters of commodity hardware, and is designed to scale up easily as needed. Hadoop helps businesses store and process massive amounts of data without purchasing expensive hardware.

Hadoop enables enterprises to access and process data in a very easy way to generate the values required by the company, thereby providing the enterprises with the tools to get valuable insights from various types of data sources operating in parallel.

On a Hadoop cluster, the data within HDFS and the MapReduce system are housed on every machine in the cluster.

Python:

Python is an interpreted, high-level, general-purpose programming language. It is used for web development (server-side), software development, mathematics, system scripting. Python was designed for readability, and has some similarities to the English language with influence from mathematics.

Python uses new lines to complete a command, as opposed to other programming languages which often use semicolons or parentheses. Python relies on indentation, using whitespace, to define scope; such as the scope of loops, functions and classes. Other programming languages often use curly-brackets for this purpose. you can use the programming language for developing both desktop and web applications.

Also, you can use Python for developing complex scientific and numeric applications. Python is designed with features to facilitate data analysis and visualization.

Python can be used to develop different applications like web applications, graphic user interface-based applications, software development application, scientific and numeric applications, network programming, Games and 3D applications and other business applications.