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Hadoop and MapReduce changed the world of big data. And data is the heart of AI, so it should come as no surprise that talk about big data in the context of AI. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Hadoop, MapReduce, explain how these terms relate to AI and why it’s important to know about them.
In case you’re not familiar with these terms this podcast episode reviews these terms Hadoop and MapReduce. Hadoop revolutionizes how we handle colossal amounts of data. It’s the backbone of big data processing, enabling storage and distributed processing across clusters of computers. MapReduce helps the process of breaking down complex tasks into smaller, manageable chunks for distributed computing. Together, they’re the dynamic duo reshaping the landscape of data analysis and storage.
Show Notes:
- FREE Intro to CPMAI mini course
- CPMAI Training and Certification
- What is the Cognitive Project Management for AI (CPMAI) Methodology?
- AI Glossary
- AI Glossary Series – DevOps, Machine Learning Operations (ML Ops)
- AI Glossary Series – Data Preparation, Data Cleaning, Data Splitting, Data Multiplication, Data Transformation
- AI Glossary Series – Data Augmentation, Data Labeling, Bounding box, Sensor fusion
- AI Glossary Series – Data, Dataset, Big Data, DIKUW Pyramid
- AI Glossary Series – V’s of Big Data, Data Volume, Exabyte / Petabyte / Yottabyte / Zettabyte, Data Variety, Data Velocity, Data Veracity
