5 packages tagged with “big-data”
Open-source .NET client for Hazelcast, the open-source in-memory distributed computing platform.
This is the Parquet connector for ETLBox. It lets you handle Parquet files, offering an efficient way to process columnar data. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/
Crypteron CipherObject Agent for general object oriented encryption
Command-line tool for parsing logs with mining using the Drain algorithm. Built on DrainDotNet, it clusters raw logs into structured templates for log analysis, anomaly detection, monitoring, and observability.
A fast, .NET port of the Drain log parser (LogPai) with improvements for unique event patterns, parameter extraction, and strong typing.