What you will learn?

Introduction to Karate Framework: Understand the basics of the Karate framework, its architecture, and how it simplifies API testing with its DSL (Domain Specific Language) syntax.

Writing API Tests: Learn to write and execute API tests using Karate, including GET, POST, PUT, DELETE requests, and how to handle different types of responses.

Data-Driven Testing: Gain skills in implementing data-driven testing by parameterizing test scripts and using external data sources such as CSV files or JSON objects.

Assertions and Validations: Explore techniques for validating API responses using Karate’s built-in assertions to check status codes, response payloads, headers, and more.

Integration and Automation: Master the integration of Karate with CI/CD pipelines and other automation tools to create seamless, automated API testing workflows.

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At DUCAT, we are committed to providing inclusive educational opportunities to a diverse range of learners. While the specific prerequisites may vary depending on the course, the following eligibility criteria generally apply to all our training courses:

Age Requirement: There is no minimum age requirements, however, some courses may have specific age requirements, which will be clearly mentioned in their respective descriptions.

Educational Background: Most courses are open to all; advanced courses may have prerequisites, as specified in the course details.

Language Proficiency: Proficiency in English is recommended for an optimal learning experience. Course-specific language requirements may apply; consult course details.

Technical Requirements: A reliable internet-connected computer or mobile device is essential. Specific software and hardware requirements are detailed in course descriptions.

Commitment to Learning: Active participation, completion of assignments, and discussion involvement are vital for course success.

Payment and Fees: Some courses may have associated fees or tuition costs. Please check the individual course details for information on fees, scholarships, and payment options.

Please note that individual courses may have additional or specific eligibility criteria based on their content and objectives.

At DUCAT, we believe that education should be accessible to everyone, and we strive to accommodate a wide range of learners.

If you have any questions or need further clarification regarding eligibility criteria for a particular course, our support team is available to assist you.

Online Training : Online training is the most convenient option, as you can enrol from anywhere in the world.

Offline Training : Offline training is the traditional option, where you visit the training centre in person. Corporate enrollment is available for companies that want to enrol their employees in the course.

Hybrid Training : Hybrid training is best as it is as per student comfort where students can take training in both online or offline mode.

Q: What is Core Java, and why is it important for learning Hadoop?

A: Core Java refers to the fundamental aspects of the Java programming language, including its syntax, object-oriented programming concepts, and core libraries. It is important for learning Hadoop because:

Programming Language: Hadoop is primarily written in Java, so understanding Java is essential for developing and maintaining Hadoop applications.
API Utilization: Many of Hadoop’s APIs and libraries are in Java, requiring proficiency in Java to effectively use them.
MapReduce Development: Writing MapReduce programs for data processing in Hadoop often involves Java.

Q: What topics are typically covered in a combined Core Java and Hadoop training course?

A: A combined Core Java and Hadoop training course typically covers:

Core Java:
- Java Basics: Syntax, data types, variables, and operators.
- Object-Oriented Programming (OOP): Classes, objects, inheritance, polymorphism, encapsulation, and abstraction.
- Exception Handling: Try-catch blocks, throw, throws, and custom exceptions.
- Collections Framework: Lists, sets, maps, and iterators.
- Input/Output (I/O): File handling and serialization.
- Multithreading: Creating and managing threads, synchronization, and concurrency.
- Java APIs: Utilization of essential Java libraries and APIs.
Hadoop:
- Introduction to Big Data and Hadoop: Overview of Big Data concepts and Hadoop ecosystem.
- Hadoop Architecture: Understanding HDFS (Hadoop Distributed File System) and MapReduce.
- HDFS: Basics of HDFS, its architecture, and commands for managing HDFS.
- MapReduce: Writing MapReduce programs, job execution, and optimization.
- Hadoop Ecosystem Components: Overview of Pig, Hive, HBase, and Sqoop.
- YARN (Yet Another Resource Negotiator): Resource management in Hadoop.
- Data Ingestion: Techniques for importing data into Hadoop using tools like Sqoop and Flume.
- Data Processing: Using Hive and Pig for data processing and querying.

Q: What are the prerequisites for enrolling in a Core Java + Hadoop training course?

A: Prerequisites for enrolling in a Core Java + Hadoop training course typically include:

Basic Programming Knowledge: Familiarity with programming concepts and any programming language (preferably Java).
Understanding of Databases: Basic knowledge of databases and SQL can be helpful.
Interest in Big Data: A keen interest in learning about Big Data technologies and their applications.

Q: What are some recommended online platforms for Core Java + Hadoop training?

A: Recommended online platforms for Core Java + Hadoop training include:

Coursera: Offers courses like "Big Data Specialization" by UC San Diego and "Java Programming and Software Engineering Fundamentals" by Duke University.
edX: Provides courses such as "Introduction to Big Data with Apache Spark" by UC Berkeley and "Java Programming" by Microsoft.
Udemy: Features various courses like "Learn Big Data: The Hadoop Ecosystem Masterclass" and "Java Programming Masterclass for Software Developers."
LinkedIn Learning: Offers courses on Java essentials and Big Data foundations.
Simplilearn: Provides comprehensive training programs combining Core Java and Hadoop.

Q: How can I make the most out of a Core Java + Hadoop training course?

A: To make the most out of a Core Java + Hadoop training course:

Set Clear Goals: Define what you aim to achieve by the end of the course.
Practice Regularly: Write Java code and Hadoop MapReduce programs frequently to reinforce your learning.
Engage Actively: Participate in discussions, ask questions, and join online forums or communities.
Work on Projects: Apply your learning by developing real-world Big Data projects using Java and Hadoop.
Take Notes: Keep notes of important concepts, commands, and code snippets for future reference.
Seek Feedback: Share your projects and code with peers or mentors to get constructive feedback.
Use Additional Resources: Supplement your learning with documentation, tutorials, and books on Core Java and Hadoop.
Stay Updated: Keep up with the latest developments and best practices in Java programming and Hadoop ecosystem.