Hadoop & Big Data Test Driven Development Via Pig-Unit

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This Test Driven Development via Hadoop tutorial will unravel the usage of Pig in processing TDD progams. Not only this, a live programming tutorial of TTD via Hadoop – Pig, is showcased in this video presentation. At the end, you’ll have a strong understanding of Test Driven Development via Hadoop.

Session Agenda:

✓ Introduction to BIG Data & Hadoop
✓ What is Test Driven Development?
✓ Application of Pig in TDD
✓ Practical Demonstration
✓ Q&A Session

What is BIG Data & Hadoop?

Big Data refers to the vast amounts of unstructured data generated in todays internet driven world which cannot be tapped, manipulated and utilised via traditional data harness tools. Apache Hadoop is an open-source JAVA based framework which is used to harness & process BIG Data sets. It facilitates distributed parallel processing via cluster nodes to ensure a secure, scaleable & accurate data service solution.

What is Test Driven Development?

TDD is a development methodology wherein each test is written before the code to ensure that code is absolutely ready for implementation. Java Developers extensively utilize JUnit in Test Driven Development for creating various application components. TDD can be done via Hadoop by using Pig.

This integration ensures a faster, dependable & scalable testing process.

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