Search Results for "data capture framework"

Enferno is a framework for building developer-first cloud backends using PostgreSQL and TypeScript. It offers primitives for defining data models, APIs, and access rules directly in code, enabling quick iteration and deployment. Enferno is designed to accelerate SaaS and internal tool development by combining the benefits of traditional backends with developer ergonomics.

ddia is a Chinese translation and online reading project for “Designing Data-Intensive Applications.” It covers both the first edition and ongoing second-edition translation work. The repository organizes the book content into chapters about data systems, storage, encoding, replication, partitioning, transactions, distributed systems, consistency, and derived data. It is built for readers who want deep systems design material in Chinese with a structured web reading experience. ...

...Replicating data at scale, across hundreds of tables, with low latency and at a reasonable infrastructure cost is a hard problem, and most data teams we’ve talked to, have faced data quality issues in their replication processes. The hard truth is that the quality of the replication is the quality of the data. Since copying entire datasets in batch is often infeasible at the modern data scale, businesses rely on the Change Data Capture (CDC) approach of replicating data using a continuous stream of updates.

New version moved to http://github.com/ctuning/ck Collective Mind framework (cM) is an open-source plugin-based schema-free repository and infrastructure for collaborative, systematic and reproducible research and experimentation. This 3rd version (started in 2006) helps to implement, preserve, share and reproduce the whole experimental setup as connected modules and data. cM uses crowdsourcing to leverage knowledge and computational resources of multiple users. ...

pyMantis is a data-management system for (systems) biology build on the web2py framework. It features: tree based file explorer, relational db table wizzard with automated creation of user interfaces, internal and external access management, wiki, ..

Framework (scripts, configuration, code) to build free and public services around travel and leisure data. That project makes an extensive use of already existing data sources such as Geonames and dbPedia, and adds some glue around those (eg, links).

A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.

To create a framework to extract Web data and store in local RDBMS, to generate assessment reports on quality of the data being extract, and to publish the quality reports on the Web.

SnapLogic is an Open Source Data Integration framework that combines the power of state-of-the-art dynamic programming languages with standard Web interfaces to solve today's most pressing problems in data integration.

A lightweight, browsing-based, 100% Python, federated data integration framework. Users may create custom schemas for disparate sources, query and expand results across sources to find related data; for use in fields such as bioinformatics and datamining

The Restaurant Table Reservation System is a Django-powered web server framework that allows programmers (or me) to build websites for restaurant owners where customers can reserve tables (over the web) based upon owner-provided table availability data.

This framework allows the definition of attributes, entities and relations as used in entity-relationship (ER) models. It will then handle input and representation of data appropriately.

Our goal is to develop a SWING busines framework that takes care of display and persistence of objects in data-driven applications.

The Warp Framework is an application framework built with Python. It features intelligent property and object management based solely on meta-data. Currently Zope is supported, with room for extending it towards GTK / SQL / etc. based applications.

ipymssql provides Python support for Microsoft SQL Server. It uses the .NET Framework Data Provider for SQL Server in IronPython. It adheres to the Python DB API 2.0 interface, and supports callproc().