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Data Projects Overview
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Related lectures (32)
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Understanding Big Data in Neuroscience
Delves into Big Data in neuroscience, analyzing large datasets and addressing challenges in data organization, standardization, integration, and visualization.
Big Data Best Practices and Guidelines
Covers best practices and guidelines for big data, including data lakes, architecture, challenges, and technologies like Hadoop and Hive.
Data Virtualization: SmartDataLake
Explores data virtualization in SmartDataLake project, covering query optimization, storage tiering, and challenges in processing heterogeneous data.
Data Cleaning Challenges: Optimizing Error Detection
Addresses challenges in data cleaning for analysis, proposing optimizations to reduce processing time.
Data Virtualization Demo: SmartDataLake
Showcases a demo on adaptive data virtualization in SmartDataLake, focusing on assembling company profiles and executing join queries across datasets.
Metadata: General Principles and Standards
Covers the importance of metadata in geographic information systems, focusing on standards and principles.
Water Consumption in Geneva
Explores water consumption data in Geneva, including charts on consumption and losses, available datasets, and data processing phases.
Data Warehouses and Data Lakes
Covers data warehouses, data lakes, OLTP vs. OLAP, data quality, and the Data Lakehouse concept.
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.
Data Wrangling with Hadoop: Advanced Techniques
Covers advanced data wrangling techniques using Hadoop, focusing on Hive and HBase integration.
