Data Lakes: Structure and Optimization

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Mobilities through Big Data

Discusses the influence of Big Data on mobility planning and optimization, exploring its promises and limitations.

Data Wrangling: ETL Process and Wrangling Issues

Explores the ETL process, data wrangling stages, and common issues.

Optimization with Constraints: KKT Conditions

Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.

Data Warehouses: Introduction and Challenges

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

Model Representation: Structures and Functions

Covers the representation of mathematical models, functions, and data structures in information systems.

Degree of Freedom Analysis

Explores degree of freedom analysis, redundancy, and data reconciliation in process modeling and optimization.

Big Data: Processing and Dimensions

Explores Big Data generation, storage, processing, and dimensions, along with challenges in data analytics, cloud computing elasticity, and security.

General Introduction to Big Data

Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.

Data Representation: Models and Systems

Discusses data representation through models and systems, covering mathematical models, data structures, levels of modeling, and managing data.

Energy Systems Optimization

Explores energy systems modeling, optimization, and cost analysis for efficient operations.