Implementation tasks for multiple algorithms to process massive data. The algorithms are written in Python.

Windows - Embedded Hidden Data to Datastream

ADMINISTRACIÓN Y GESTIÓN DE BASES DE DATOS

In this Article, we will demonstrate examples of one of the DSWS Python API to load data using parallel processing functionality for reducing the execution time and lead to useful case studies.

Netflix Pathways Project 1 - Iterate through collections; stream data into classes and objects; JUnit Testing.

Rust implementation of BIRCH, CluStream, DenStream.

The simple data stream implementation using GO language based on the Redis stream

🧜‍♀️ A fork of the Ocean Protocol Market for the Streaming Data Asset extension

Balancing Efficiency vs. Effectiveness and Providing Missing Label Robustness in Multi-Label Stream Classification

Ukraine WMS

Maxwell deamon data stream project

Islandora module to check if all necessary datastreams are available for objects.

Multi Docker Containers Logger & Stats Aggregator

Terraform configuration to provision a real-time Change Data Capture (CDC) pipeline on Google Cloud. This project uses Datastream to stream database changes from a private Cloud SQL for MySQL instance into Google Cloud Storage (GCS) securely via Private Service Connect (PSC).

Data sync via CDC from GCP Cloud SQL to Big Query using Datastream

A simple datastream built with Apache Kafka and Python running on Docker.

Hands on data streaming

The LDM-McIDAS Decoders set of LDM-compatible decoders for products contained in the Unidata-Wisconsin (LDM feed type UNIWISC aka MCIDAS), NIMAGE FSL2 and LIGHTNING data streams that are available by IDD feed to core Unidata sites.