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ordep.dev | ||
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my-it-notes.com
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| | | | | Databases - how they work under the hood?Key takeaways from brilliant book "Designing data intensive application" - to quickly recap core concepts. DB engines classifications Type of load: OLTP (transaction processing) vs OLAP (data warehousing and analytics) Relational vs NoSQL, document vs columnar, graph vs triple-store (semantic facts storage) Even within NoSQL camp you can ... | |
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timilearning.com
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| | | | | My notes from the third chapter of Martin Kleppmann's book: Designing Data Intensive Applications. | |
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blog.nuculabs.de
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| | | | | Introduction Apache Cassandra is a highly scalable and distributed NoSQL database that is designed to handle large volumes of data across multiple commodity servers. One of the key features of Cassandra is its ability to automatically manage data distribution, replication, and consistency across a cluster of nodes, providing high availability and fault tolerance. One important aspect of managing data in Cassandra is compaction. Compaction is the process of merging and removing unnecessary data from SSTables, which are the on-disk storage structures used by Cassandra. Over time, as data is written and deleted, SSTables can become fragmented and inefficient, which can impact performance and consume valuable disk space. Compaction helps to optimize the storage ... | |
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www.crunchydata.com
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| | | Get under the hood of Postgres by looking at psql, system views, and internal tables. | ||
