5 个仓库
Capabilities that allow external data processing frameworks and streaming services to write directly into tables.
Distinguishing note: Existing candidates focus on network socket buffering or data enrichment rather than writing from compute frameworks to tables.
Explore 5 awesome GitHub repositories matching data & databases · External Data Writing. Refine with filters or upvote what's useful.
Delta is a lakehouse table format that brings ACID transactions and data warehouse consistency to large scale data lakes on cloud object storage. It serves as an ACID transaction manager, coordinating atomic commits and serializable isolation for concurrent reads and writes across distributed compute engines. The project provides a multi-engine interoperability layer that uses format translation to allow diverse SQL engines and processing frameworks to read and write the same tables. It functions as a data versioning system, utilizing a transaction log to enable time travel, historical snapsh
Connects data processing frameworks and streaming services to write data directly into tables.
Moto is a cloud service mockery framework and API mock server that simulates AWS infrastructure locally. It allows developers to test cloud-dependent code and verify infrastructure-as-code templates without deploying real resources or incurring costs. The project functions as an SDK interceptor that can patch existing service clients to redirect requests to a local mock environment. It can also be run as a standalone HTTP server, enabling any programming language to interact with the simulated endpoints. The framework covers a vast array of simulated capabilities, including data storage, com
Simulates the process of writing data records from external sources into database tables.
Updates an existing record in an external database with fields generated by an agent.
dlt 是一个 Python 数据摄取工具和 ETL 流水线框架,旨在从不同来源获取数据并将其持久化到结构化目标中。它作为一个模式推断引擎,可自动检测数据类型并将嵌套的 JSON 结构扁平化为关系表,将数据从源端移动到数据湖、数据仓库或向量数据库。 该项目通过 AI 驱动的流水线生成脱颖而出,利用大语言模型为 REST API 构建提取代码和连接器。它还支持多模态向量存储和向量数据库的专门填充,以支持 AI 和机器学习应用。 该框架涵盖了广泛的功能,包括自动化模式演进、通过状态跟踪进行增量数据加载,以及通过强制执行数据契约进行数据质量验证。它提供了用于关系数据规范化、加载前后转换的工具,以及针对 SQL 数据库和云对象存储的多种目标适配器。 可观测性通过流水线执行仪表板、列血缘跟踪以及使用基于内容的哈希进行模式版本验证来处理。
Provides capabilities to control if new data replaces existing sets, appends, or merges based on keys.
XlsxWriter is a library for generating spreadsheets in the XLSX format, functioning as an Excel workbook writer and file generator. It provides the capability to write data, apply cell formatting, and build complex layouts across multiple worksheets. The project distinguishes itself with a memory-optimized writing mode that flushes large datasets to disk row-by-row, enabling the creation of files exceeding 4 GB while minimizing RAM consumption. It also includes a specialized mechanism for embedding binary project files and digital signatures to enable VBA macros and signed scripts within work
Provides type-specific methods for writing strings, numbers, and formulas into spreadsheet cells.