A data management ecosystem for data driven science

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Related lectures (32)

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Data Warehousing: Overview and Challenges

Introduces data warehousing fundamentals, challenges, and the innovative concept of a 'lakehouse'.

Introduction to Neuroinformatics

Covers the heterogeneous neuroscience data, techniques like microarrays and gene sequencing, data integration, and the importance of metadata in organizing and sharing data.

Data Wrangling with Hive: Managing Big Data Efficiently

Covers data wrangling techniques using Apache Hive for efficient big data management.

Data Modeling: Concepts and Applications

Explores data modeling concepts, SQL implementations, and practical applications in handling missing data.

Nexus Fusion: Collaborative Data Discovery

Covers Nexus Fusion, a platform for collaborative data and knowledge discovery, including data management, presentation, and searching.

Data Warehouses: Introduction and Challenges

Covers the introduction and challenges of data warehouses, including integrating data, managing metadata, and optimizing query performance.

Blue Brain Project: Modeling Brain Tissue and Virtual Experiments

Explores the Blue Brain Project's journey from modeling brain tissue to future goals.

Principles of Simulation Neuroscience

Covers principles of simulation neuroscience, dense reconstructions, bottom-up approach, and modeling trade-offs.

Data Warehouses and Decision Support Systems

Explores data warehouses, decision support systems, OLAP, data lakes, multidimensional data models, and query optimizations.

In Silico Neuroscience: Data Reproducibility and Reusability

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