Data Management: Efficient Storage and Indexing

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Related lectures (32)

Page 2 of 4

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

File Systems: Organization and Indexing Techniques

Discusses file systems, focusing on data organization, indexing techniques, and their impact on database performance.

DBMS Principles and Operators

Covers the fundamentals of DBMS, relational algebra operators, and their importance in managing large datasets.

Database Systems: Overview

Introduces database systems, covering DBMS ecosystem, relational model, course overview, prerequisites, course outline, grading scheme, projects, and teaching methods.

Introduction to Database Systems

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

Query Operators: Joins and Query Processing Techniques

Discusses advanced query operators, focusing on join techniques and their processing methods in relational databases.

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, big data, clouds and IoT

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

Query Processing: Relational Operations and Models

Discusses query processing models and relational operations, focusing on selections, projections, and joins in data-intensive systems.

Introduction to Database Systems

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