Data Intensive Applications and Systems: Installation and Configuration

Related lectures (32)

Page 3 of 4

Covers the practical analysis of X-ray tomography images using Fiji software.

Explores the evolution of open-source software and the concepts of open data and open science.

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

Explores data wrangling with Hadoop, emphasizing storage formats and Hive for big data processing.

Introduces computing basics, from logic gates to databases, emphasizing data integrity.

Explores parallel and distributed databases, covering architectures, query optimization, data storage, and distributed transactions.

Covers the installation of SimaPro on EPFL computers and introduces project libraries.

Covers the basics of object-oriented programming in Python, including objects, classes, inheritance, and input/output handling.

Explores file and page organization in databases, cache management, and log-structured files.

Covers the theoretical and practical aspects of programming in the ICC course.