lakehouse
Here are 76 public repositories matching this topic...
StarRocks, a Linux Foundation project, is a next-generation sub-second MPP OLAP database for full analytics scenarios, including multi-dimensional analytics, real-time analytics, and ad-hoc queries.
-
Updated
Jun 8, 2024 - Java
YTsaurus is a scalable and fault-tolerant open-source big data platform.
-
Updated
Jun 8, 2024 - C++
World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.
-
Updated
Jun 8, 2024 - Java
FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
-
Updated
Jun 7, 2024
Supercharge Your Compute for Analytics & AI
-
Updated
Jun 7, 2024 - Jupyter Notebook
A modern data marketplace that makes collaboration among diverse users (like business, analysts and engineers) easier, increasing efficiency and agility in data projects on AWS.
-
Updated
Jun 8, 2024 - Python
LakeSoul is an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data analytics on cloud storages for both BI and AI applications.
-
Updated
Jun 6, 2024 - Java
Examples of using Terraform to deploy Databricks resources
-
Updated
Jun 6, 2024 - HCL
Run an open-source data LakeHouse locally using Docker Compose
-
Updated
May 31, 2024 - Python
Helm chart for deploying ParadeDB on Kubernetes
-
Updated
Jun 7, 2024
The Goal of this project is to provide documentation for the Lakehouse Engine framework.
-
Updated
May 20, 2024 - HTML
The Lakehouse Engine is a configuration driven Spark framework, written in Python, serving as a scalable and distributed engine for several lakehouse algorithms, data flows and utilities for Data Products.
-
Updated
May 20, 2024 - Python
Build Your First End-to-End Lakehouse Solution (aka.ms/fabconlake)
-
Updated
May 29, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the lakehouse topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the lakehouse topic, visit your repo's landing page and select "manage topics."