PAX: Hybrid Solution for Efficient Data Storage

Related lectures (32)

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

Covers the architecture of a typical DBMS and SQL interfaces like SQL Developer and DataGrip.

Discusses the importance of structuring data for efficient storage and retrieval.

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

Covers B+ Trees, a key data structure for efficient indexing in databases.

Covers the importance of metadata for accessing information and structuring data for storage and transmission.

Explores indexing in database systems, covering storage, files, and efficient data retrieval techniques using various types of indexes.

Covers the architecture of parallel databases, benefits of parallelism, distributed databases, and replication methods.

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

Covers geographic information storage challenges, data types, methods, and formats, emphasizing structured data and centralizing data access.