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What is Java used for? Before I answer the question, what is Java used for, let me brief you about why you should choose Java. Java is highly popular and has dominated this field from early 2000’s till the present 2018. Java has been used in different domains. Some of them are listed below: Banking: To deal with transaction management. Retail: Billing applications that you see in a store/restaurant are completely written in Java. Information Technology: Java is designed to solve implementation dependencies. Android: Applications are either written in Java or use Java API. Financial services: It is used in server-side applications. Stock market: To write algorithms as to which company they should invest in. Big Data: Hadoop MapReduce framework is written using Java. Scientific and Research Community: To deal with huge amount of data. Wait! Java can do more. Let’s see how some of the technologies make use of Java as an essential core of their functionalit...
Back in the spring of 2013 when Amazon Web Services (AWS) unveiled its certification program, could anyone foresee how popular AWS certifications would become in such a short period of time? Fast forward six years, and you’ll notice a significant global demand represented by testing centers around the world. AWS exams are now offered in multiple languages, and an increasing number of IT professionals are interested in knowing what goes into obtaining an AWS Certification (or possibly multiple certifications). AWS certifications have become a featured highlight whenever the Global Knowledge IT Skills and Salary Report is released. The high adoption rate of AWS cloud services by organizations around the globe has translated into some of the top salaries for those IT professionals choosing to pursue these certifications in particular. Of the 12,271 IT professionals who participated in the Global Knowledge 2019 IT Skills and Salary Survey, 1,011 respondents said they hold an AWS...
Hadoop is an open source distributed processing framework that manages data processing and storage for big data applications running in clustered systems. It is at the center of a growing ecosystem of big data technologies that are primarily used to support advanced analytics initiatives, including predictive analytics, data mining and machine learning applications. Hadoop can handle various forms of structured and unstructured data, giving users more flexibility for collecting, processing and analyzing data than relational databases and data warehouses provide. Hadoop is primarily geared to analytics uses, and its ability to process and store different types of data makes it a particularly good fit for big data analytics applications. Big data environments typically involve not only large amounts of data, but also various kinds, from structured transaction data to semistructured and unstructured forms of information, such as internet clickstream records, web server and mobile a...
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