The Cloud Operational Data Store: use SQL to transform, deliver, and act on fast-changing data.
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Updated
Nov 18, 2024 - Rust
The Cloud Operational Data Store: use SQL to transform, deliver, and act on fast-changing data.
Best-in-class stream processing, analytics, and management. Perform continuous analytics, or build event-driven applications, real-time ETL pipelines, and feature stores in minutes. Unified streaming and batch. PostgreSQL compatible.
crossing the streams
CrateDB Toolkit, an SDK for CrateDB and CrateDB Cloud.
A scenic migration file generator that supports cascading view updates
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
Lightweight library for working with high performance bulk updates & materialized data in SQL Server with support for Identity columns, Annotations, Materialization from disparate systems, etc.
Denormalized and aggregated tables for PostgreSQL.
Data-layer that speeds up MongoDB queries
This Repo contains activities related to ETL, data warehouse creation and advanced analytics
Distributed immutable data store with strong encryption and authentication
This is the output of the bachelor thesis. An example implementation of design patterns CQRS and materialized view using the synchronization of two database schemas (write and read schema) by the CDC process.
Basic webapp to materialize questions in Metabase
Simple POC for real time dashboard
Refresh PostgreSQL materialized views in the correct order (topologically sorted)
👥 Employee analysis #DWD
Refresh materialized views and their dependencies in the correct order
Simple example of Materialized View pattern in Microservice.
A data warehouse star-join queries website optimizer (cost reducer) with a remote database connection using materialized views.
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