Integrating Scalable Data Storage and Map Reduce Processing with Hadoop

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Introduction to Database Systems

Covers the basics of database systems, including data modeling, DBMS, data independence, and the course overview.

Data formats and data wrangling with Hadoop

Explores Apache Hive for data warehousing, data formats, and partitioning, with practical exercises in querying and connecting to Hive.

Spark Storage Layer

Explores the Spark ecosystem, Resilient Distributed Datasets, and the storage layer abstraction in Spark.

Scaling up: Spark and Big Data

Explores the challenges of big data processing and introduces Spark as a solution.

Water Consumption in Geneva

Explores water consumption data in Geneva, including charts on consumption and losses, available datasets, and data processing phases.

Data Warehouses: Introduction and Challenges

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

Handling Data: Intro to Pandas

Introduces the fundamentals of handling data, emphasizing the importance of Pandas and data modeling for effective analysis.

Data, big data, clouds and IoT

Explores data representation, databases, cloud computing, and challenges in the cloud environment.

Introduction to Applied Data Analysis

Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.

Storage Hierarchy: Understanding Data Management Systems

Discusses the storage hierarchy and buffer management in data-intensive systems.