Posts

Showing posts with the label Java

Featured Post

14 Top Data Pipeline Key Terms Explained

Image
 Here are some key terms commonly used in data pipelines 1. Data Sources Definition: Points where data originates (e.g., databases, APIs, files, IoT devices). Examples: Relational databases (PostgreSQL, MySQL), APIs, cloud storage (S3), streaming data (Kafka), and on-premise systems. 2. Data Ingestion Definition: The process of importing or collecting raw data from various sources into a system for processing or storage. Methods: Batch ingestion, real-time/streaming ingestion. 3. Data Transformation Definition: Modifying, cleaning, or enriching data to make it usable for analysis or storage. Examples: Data cleaning (removing duplicates, fixing missing values). Data enrichment (joining with other data sources). ETL (Extract, Transform, Load). ELT (Extract, Load, Transform). 4. Data Storage Definition: Locations where data is stored after ingestion and transformation. Types: Data Lakes: Store raw, unstructured, or semi-structured data (e.g., S3, Azure Data Lake). Data Warehous...

15 awesome Java Interview Questions to know

Image
Java interview is one of the tough interviews for developers coming from other technologies. So I have given very basic interview questions they asked. Really awesome to know these questions. 1. What is JVM? Why is Java called the ‘Platform Independent Programming Language’? JVM, or the Java Virtual Machine, is an interpreter that accepts ‘Bytecode’ and executes it. Java has been termed as a ‘Platform Independent Language’ as it primarily works on the notion of ‘compile once, run everywhere’. Here’s a sequential step establishing the Platform independence feature in Java: The Java Compiler outputs Non-Executable Codes called ‘Bytecode’. Bytecode is a highly optimized set of a computer instruction which could be executed by the Java Virtual Machine (JVM). The translation into Bytecode makes a program easier to be executed across a wide range of platforms since all we need is a JVM designed for that particular platform. JVMs for various platforms might vary in configuration, those they w...

Java in Digital Applications Real Usage

Image
Recently I found, some of my friends refreshing Java language skills. I asked them why. They told me many digital applications need proficiency in Java skill. Java is the top skill, and popular in customization of all the tools involved in digital applications.  From the above conversation, I can say that at least core Java everyone should be proficient. In addition to that, Java once upon a time popular as web development language. Since Java is being used in all modern applications.  Of course, there are many other popular languages. Those are Python and Scala.   Top List of  Java Applications Robotic process automation - Daily activities in any offices can be automated with Robotic process automation. Java is the language in this scenario to write backend scripts. Artificial Intelligence -Each AI application involves some sort of programming logic. Where it validates user input and sends back output. The backend logic often is written in Java. Full...