Data: Clouds and Things

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Related lectures (32)

Page 1 of 4

Data, big data, clouds and IoT

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

Relational Model: Basics

Introduces the relational model, SQL, keys, integrity constraints, ER translation, weak entities, ISA hierarchies, and SQL vs. noSQL.

Relational Databases: Fundamentals and ACID Properties

Covers relational databases, transactions, and data consistency in the context of historical database typologies.

Data Modeling: Concepts and Applications

Introduces data modeling concepts, SQL usage, and Pandas library applications for efficient data processing.

Data-Intensive Systems: Relational Model and Algebra

Introduces the relational model and algebra, essential for understanding data-intensive systems and effective database management.

Handling Data: Intro to Pandas

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

Data Wrangling with Hadoop

Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.

Data Wrangling with Hive: Managing Big Data Efficiently

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

Database Management Systems: Fundamentals

Introduces the fundamentals of database management systems, covering relational model, storage options, data integrity, queries, and data manipulation languages.

Introduction to Database Systems

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