Data Management: Overview

Related lectures (32)

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

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

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

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

Covers the fundamentals of database systems, including data modeling, information processing, and the challenges of managing large volumes of data.

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

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

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

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

Covers the fundamentals of data, cloud storage, and the Internet of Things.