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Apache Cassandra

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TLDR: Apache Cassandra, introduced in 2008, is a highly scalable, distributed NoSQL database designed for handling large volumes of structured and semi-structured data across multiple nodes. It supports a variety of data types and uses a peer-to-peer architecture that ensures no single point of failure, making it ideal for mission-critical applications. With its native query language, CQL (Cassandra Query Language), which has SQL-like syntax, Apache Cassandra provides developers with an accessible interface for managing real-time data analytics and large-scale cloud database operations.

Apache Cassandra is widely adopted in industries like telecommunications, retail, and financial services for its high performance and reliability. The database supports advanced features such as built-in replication, tunable consistency levels, and support for hybrid deployments in cloud database and on-premises environments. Its compatibility with popular programming terms like Python, Java, and C Sharp makes it a flexible solution for developers building scalable applications in areas like data science, recommendation systems, and real-time monitoring.

https://github.com/apache/cassandra

https://cassandra.apache.org

https://en.wikipedia.org/wiki/Apache_Cassandra

https://cassandra.apache.org

Installing the Cassandra CLI tools via package managers:

1. Chocolatey (Windows) Command: `choco install cassandra`

URL: https://chocolatey.org/packages/cassandra

2. Windows Package Manager (winget) Command: `winget install Cassandra`

https://winget.run/pkg/DataStax.Cassandra

3. Homebrew (macOS):Command: `brew install cassandra`

https://formulae.brew.sh/formula/cassandra

Snippet from Wikipedia: Apache Cassandra: Apache Cassandra is a free and open-source database management system designed to handle large volumes of data across multiple commodity servers. The system prioritizes availability and scalability over consistency, making it particularly suited for systems with high write throughput requirements due to its LSM tree indexing storage layer. As a wide-column database, Cassandra supports flexible schemas and efficiently handles data models with numerous sparse columns. The system is optimized for applications with well-defined data access patterns that can be incorporated into the schema design. Cassandra supports computer clusters which may span multiple data centers, featuring asynchronous and masterless replication. It enables low-latency operations for all clients and incorporates Amazon's Dynamo distributed storage and replication techniques, combined with Google's Bigtable data storage engine model.

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