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CQL

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Architects Research Society
Architects Research Society
Apr 15, 2023 · Databases

Cassandra Time‑Series Data Modeling at Massive Scale Using Bucketing

This article explains how to model massive time‑series data in Cassandra by using bucketing techniques to control partition size, avoid hotspots, and improve write and read performance, including practical CQL schema examples and Python code for concurrent queries.

BucketingCQLCassandra
0 likes · 13 min read
Cassandra Time‑Series Data Modeling at Massive Scale Using Bucketing
Aikesheng Open Source Community
Aikesheng Open Source Community
Dec 14, 2022 · Databases

Understanding User and Role Management in Cassandra Clusters Across Data Centers

This article explains how Cassandra clusters organize nodes, racks, and data centers, describes the gossip and snitch protocols, token ring architecture, replication strategies, and provides step‑by‑step commands to create, list, and delete users and roles while highlighting cross‑data‑center visibility constraints and common errors.

CQLCassandraDistributed Database
0 likes · 12 min read
Understanding User and Role Management in Cassandra Clusters Across Data Centers
Python Programming Learning Circle
Python Programming Learning Circle
Dec 5, 2020 · Databases

Using Neo4j Graph Database with Py2neo: Nodes, Relationships, Subgraphs, Walkable, and OGM

This article provides a comprehensive guide to Neo4j, an open‑source graph database, covering its data model, key features, installation, and detailed Python usage with the Py2neo library, including node and relationship creation, property handling, subgraph operations, walkable traversals, and object‑graph mapping (OGM).

CQLNeo4jOGM
0 likes · 16 min read
Using Neo4j Graph Database with Py2neo: Nodes, Relationships, Subgraphs, Walkable, and OGM
Tongcheng Travel Technology Center
Tongcheng Travel Technology Center
Apr 25, 2017 · Big Data

Real-Time Computation Platform Based on Storm and StreamCQL: Architecture, CQL Integration, and Development Guide

This article introduces a real‑time computation platform built on Apache Storm, explains its low‑latency, high‑throughput design, details the integration of Continuous Query Language (CQL) via StreamCQL, showcases development workflows, code examples, and two typical business use cases, and outlines future directions.

CQLReal-time ProcessingStreamCQL
0 likes · 13 min read
Real-Time Computation Platform Based on Storm and StreamCQL: Architecture, CQL Integration, and Development Guide