Lectures related to Data Acquisition Methods

Acquisition of Primary Data MOOC: Geographical Information Systems 1

Covers primary data acquisition methods, GPS, positioning techniques, satellite imagery, and thematic data analysis.

Acquisition de données primaires: Positioning and Thematic Data MOOC: Geographical Information Systems 1

Covers primary data acquisition methods in GIS, including positioning and thematic data techniques.

Covers methods of primary data acquisition, including positioning and thematic data.

Covers best practices and guidelines for big data, including data lakes, architecture, challenges, and technologies like Hadoop and Hive.

Big Data Ecosystems: Technologies and Challenges

Covers the fundamentals of big data ecosystems, focusing on technologies, challenges, and practical exercises with Hadoop's HDFS.

Data Science Essentials

Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.

Stockage et transmission des données 1: introduction; besoin de structure

Discusses the importance of structuring data for efficient storage and retrieval.

Data Wrangling Techniques: HBase and Hive Integration

Covers data wrangling techniques using HBase and Hive, focusing on integration and practical applications.

Geodetic Engineering: Positioning, Mapping, and Navigation

Explores geodetic engineering, focusing on positioning technologies, mapping, and navigation using satellites, GPS, and inertial sensors.

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.

Introduction to Spark Runtime Architecture

Introduces Apache Spark, covering its architecture, RDDs, transformations, actions, fault tolerance, deployment options, and practical exercises in Jupyter notebooks.

Big Data: Best Practices and Guidelines

Covers best practices and guidelines for big data, including data lakes, typical architecture, challenges, and technologies used to address them.

Digital Transformation: Solutions and Data

Explores digital transformation opportunities, big data, analytics, and technology innovations in business and research.

In Silico Neuroscience: Data Reproducibility and Reusability

Emphasizes data reproducibility and reusability in in silico neuroscience, focusing on neuroinformatics tools and methods.

Introduction to Data: Data Types and Quality

Covers data types, quantity, quality, and representativeness in the world of data.

Cache Memory

Explores cache memory design, hits, misses, and eviction policies in computer systems, emphasizing spatial and temporal locality.

Satellite Location: Reflection Surface Analysis Log in to Mediaspace to watch this video

Explores satellite reflection surface analysis for precise positioning and its implications for tsunami prediction.

Google Earth Engine: Analyzing Geospatial Data Log in to Mediaspace to watch this video

Introduces Google Earth Engine, focusing on its capabilities for geospatial analysis and environmental monitoring.

Imaging Techniques: Geometric and Radiometric Distortions Log in to Mediaspace to watch this video

Discusses imaging techniques, focusing on geometric and radiometric distortions in aerial photography and their implications for data interpretation.

GPS Signal Structure: Evolution and Applications Log in to Mediaspace to watch this video

Explores the evolution and structure of GPS signals, satellite tracking, and the GPS coordinate system.