Elastic data processing with Apache Pulsar and Apache Flink
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Updated
Nov 10, 2022 - Java
Elastic data processing with Apache Pulsar and Apache Flink
Apache Wayang(incubating) is the first cross-platform data processing system.
ESA Earth Observation Toolbox and Java Development Platform
Desktop GUI for SNAP based on NetBeans Platform
The MDSplus data management system
Enterprise backend as a service
Ontology-driven Linked Data processor and server for SPARQL backends. Apache License.
The code base of the front-end of nocodefunctions.com
By Smart Shaped s.r.l. (https://www.smartshaped.com/)
Kafka Streams made easy with a YAML file
Ion Fusion is a customizable programming language for working with JSON and Amazon Ion data.
Code samples for my book "Computing with Data: An Introduction to the Data Industry"
This project demonstrates real-time data streaming and processing architecture using Kafka, Spark Streaming, and Debezium for capturing CDC (Change Data Capture) events. The pipeline collects transaction data, processes it in real time, and updates a dashboard to display real-time analytics for smartphone data.
A powerful Java library for RDF data manipulation, SPARQL querying, reasoning, and semantic web standard compliance.
Core part of pipes framework plus some commonly used extensions
LinkSmart Data Processing Agent (DPA) & Learning Agent (LA). IoT fog services for data-processing and machine learning
The program processes personal records from a file using custom-implemented data structures such as Binary Search Trees (BST), heaps, and hashmaps, with an emphasis on generics and without relying on built-in Java classes like LinkedList and PriorityQueue.
Generate SQL insert statements from region JSON files with cross-platform support and clean logging.
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