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Concept

Big data

Related lectures (32)

Artificial Intelligence: The New Radical Addition to Work

Explores the convergence of IoT, Big Data, and Deep Learning in Artificial Intelligence applications across various industries.

Big Data of the Past

Delves into historical Big Data, exploring data acceleration regimes and the challenges of redocumenting past datasets.

Data Wrangling with Hadoop

Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.

Advanced Spark Optimizations and Partitioning

Covers advanced Spark optimizations, memory management, shuffle operations, and data partitioning strategies to improve big data processing efficiency.

Graph Mining: Social Networks and Data Analysis

Explores graph mining in social networks, covering data analysis and community detection.

Introduction to Data Science Log in to Mediaspace to watch this video

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Distributed Computing Execution Models Log in to Mediaspace to watch this video

Explores challenges in handling large data sizes in distributed computing and discusses declustering techniques and failure management strategies.

High-order Correlations in Massive Datasets Log in to Mediaspace to watch this video

Delves into high-order correlations in massive datasets and their importance.

Digital History and Digitized Press Log in to Mediaspace to watch this video

Delves into the 'digital turn' in history, examining historical research using digitized newspapers and exploring text reuse, word embeddings, and data visualization.

Big Data: Processing and Management Log in to Mediaspace to watch this video

Explores big data challenges, characteristics, declustering techniques, and failure management strategies in data processing and management.

Intro to Distributed Frameworks Log in to Mediaspace to watch this video

Covers challenges of handling large data sizes and characteristics of big data.

Deep Learning: Principles and Applications Log in to Mediaspace to watch this video

Covers the fundamentals of deep learning, including data, architecture, and ethical considerations in model deployment.