Large-scale SQL Processing

Related lectures (32)

Page 3 of 4

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

Introduces data modeling in the context of Geographic Information Systems, covering the added value and methods used.

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

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.

Covers the CS422 project on the iterator model and relational operators.

Covers the origins, properties, and types of NoSQL databases, focusing on MongoDB and the CAP theorem.

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

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

Covers Spark Data Frames, distributed collections of data organized into named columns, and the benefits of using them over RDDs.