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The front end of the web application includes the graphical user interface that users see, experience, and interact with. On the other hand, the backend of the web application includes – a database, a server, and an application. An enterprise has to deploy frontend web developers to make the website’s user-facing side appealing and interactive. At the same time, it also needs to deploy skilled backend web developers to drive and power the website’s user-facing side by leveraging and maintaining the backend components. The client-side code runs on the web browser, whereas the backend code runs on the web server. The front end web developers must be proficient in HTML5, CSS3, and JavaScript to build compelling and responsive web user interfaces. On the other hand, the backend developers must be familiar with both relational and non-relational databases and proficient in server-side programming languages to optimize the frontend user experience. Many enterprises nowadays opt for full

Big data came into existence and opened the door to a broad spectrum of job opportunities awaiting skilled and suitable candidates. One of the most sought-after job in the big data market is Hadoop developer whose salary ranges from $92,000 to $105,000 per year. Hadoop is considered to be the mother of all the big data technologies which makes it an efficient platform to take-off your career in this domain. What is Hadoop Developer all about? There are many job roles that work simultaneously on a Hadoop platform like Hadoop administrator, Hadoop ETL developer, Hadoop architect, Hadoop analyst, Hadoop tester, etc., but one of the coveted profiles is the Hadoop developer. A Hadoop developer is responsible for coding of applications. These codes are developed for storing, managing and analyzing the big data on the cluster. job and responsibilities A Hadoop developer can be understood the counterpart of a software developer working in Big data platform. Fundamentally Hadoop deve

Java Interviews are a little bit different than traditional programming interviews on tech giants and product based companies like Google, Amazon, Microsoft, or Facebook. First, even though it has questions from Data Structure and Algorithms like String or Array, you can still manage to clear Java interviews if you are not an expert on them. The questions are a little bit easier and more practical than those companies. Another very important thing about Java interviews are questions based upon Java programming language and JDK API. Since Java is also an Object-oriented programming language, you will find lots of OOP questions there. Since Java is primarily used as an application programming language, the focus is aligned accordingly with questions mostly focusing on API, Java concepts, and design patterns. Also, Java interviews change a lot depending upon the candidate's experience. For example, junior developers with 1 to 2 or 3 to 4 years of experience will see more questi

In February 2019, Amazon Web Services (AWS) announced a new feature in Amazon Kinesis Data Firehose called Custom Prefixes for Amazon S3 Objects. It lets customers specify a custom expression for the Amazon S3 prefix where data records are delivered. Previously, Kinesis Data Firehose allowed only specifying a literal prefix. This prefix was then combined with a static date-formatted prefix to create the output folder in a fixed format. Customers asked for flexibility, so AWS listened and delivered. Kinesis Data Firehose is most commonly used to consume event data from streaming sources, such as applications or IoT devices.   The data then is typically stored in a data lake, so it can be processed and eventually queried.   When storing data on Amazon S3, it is a best practice to partition or group related data and store it together in the same folder.   This provides the ability to filter the partitioned data and control the amount of data scanned by each query, thus improving perf