2 个仓库
Executing shared analytical workloads using SQL or Spark across collaborative data resources.
Distinct from Data Analysis: None of the candidates cover the joint/shared nature of analysis execution across multi-party resources.
Explore 2 awesome GitHub repositories matching data & databases · Joint Data Analysis. Refine with filters or upvote what's useful.
Boto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud infrastructure and services. It serves as a cloud management API client and resource manager for provisioning, configuring, and scaling virtual servers, databases, and storage. The library enables the implementation of infrastructure-as-code through declarative templates and scripts, allowing for the deployment of identical resource stacks across multiple accounts and geographic regions. It also provides a framework for coordinating distributed workflows, serverless functions, and contain
Runs SQL queries or PySpark jobs on shared data resources to extract collective insights.
SecretFlow is a privacy computing framework and platform designed for secure multi-party computation, federated learning, and privacy-preserving data analysis across independent nodes. It provides a management system to coordinate secure workloads and cryptographic tasks across a distributed cluster. The project enables joint data analysis and machine learning on partitioned datasets using cryptographic protocols. It allows for the training of models and the execution of analytical queries across multiple parties without exposing raw source information to any single participant. The framewor
Executes shared analytical workloads using cryptographic protocols across collaborative data resources.