Distributed Computing: Challenges and Solutions

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Big Data: Challenges and Implications

Explores the challenges and implications of Big Data, emphasizing the importance of data quality and ethical considerations.

Introduction to UNIX and C Programming Concepts

Covers UNIX fundamentals and introduces C programming concepts, including variables, data types, and basic operations.

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Discusses advanced Spark optimization techniques for managing big data efficiently, focusing on parallelization, shuffle operations, and memory management.

Introduction to LabVIEW Programming

Introduces LabVIEW programming, covering memory management, data types, and parallel programming concepts, with hands-on demonstrations.

Big Data Ecosystems: Technologies and Challenges

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Image Classification: Other Data Types

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Data Virtualization Demo: SmartDataLake

Showcases a demo on adaptive data virtualization in SmartDataLake, focusing on assembling company profiles and executing join queries across datasets.

Data Analysis to AI and ML, Social Media

Explores the evolution from data analysis to AI and ML, emphasizing big data, machine learning, and social media interaction.