From bee46ed0b1efe77a25d551e07b6b7fc1644d749a Mon Sep 17 00:00:00 2001 From: codingjaguar Date: Thu, 13 Feb 2025 14:21:40 -0800 Subject: [PATCH 1/2] Update integrate_with_spark.md --- site/en/integrations/integrate_with_spark.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/site/en/integrations/integrate_with_spark.md b/site/en/integrations/integrate_with_spark.md index 777360595..76c513146 100644 --- a/site/en/integrations/integrate_with_spark.md +++ b/site/en/integrations/integrate_with_spark.md @@ -1,12 +1,12 @@ --- id: integrate_with_spark.md summary: Apache Spark and Databricks integrates with Milvus and Zilliz Cloud to combine big data processing with vector search. Learn how to build AI-powered search and analytics with Spark-Milvus connector. -title: Use Apache Spark™ with Milvus/Zilliz Cloud for AI Pipelines +title: Use Apache Spark and Databricks with Milvus for AI Data Pipelines --- -# Use Apache Spark™ with Milvus/Zilliz Cloud for AI Pipelines +# Use Apache Spark and Databricks with Milvus for AI Data Pipelines -The [Spark-Milvus Connector](https://github.com/zilliztech/spark-milvus) provides integration of Apache Spark and Databricks with Milvus and Zilliz Cloud. It bridges Apache Spark’s powerful big data processing and machine learning (ML) features with Milvus’s state-of-the-art vector search capabilities. This integration enables streamlined workflow for AI-powered search, advanced analytics, ML training, and efficient management of large-scale vector data. +The [Spark-Milvus Connector](https://github.com/zilliztech/spark-milvus) provides integration of Apache Spark and Databricks with Milvus and [Zilliz Cloud](https://zilliz.com/product/integrations/Databricks) (fully managed Milvus). It bridges Apache Spark’s powerful big data processing and machine learning (ML) features with Milvus’s state-of-the-art vector search capabilities. This integration enables streamlined workflow for AI-powered search, advanced analytics, ML training, and efficient management of large-scale vector data. Apache Spark is a distributed data processing platform designed for handling massive datasets with high-speed computation. When paired with Milvus or Zilliz Cloud, it unlocks new possibilities for use cases such as semantic search, recommendation systems, and AI-driven data analytics. From c517d3ba978027f65e7711f2e4a12868ed9cb2e2 Mon Sep 17 00:00:00 2001 From: codingjaguar Date: Thu, 13 Feb 2025 14:22:52 -0800 Subject: [PATCH 2/2] Update integrate_with_spark.md --- site/en/integrations/integrate_with_spark.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/site/en/integrations/integrate_with_spark.md b/site/en/integrations/integrate_with_spark.md index 76c513146..e8a2ecb11 100644 --- a/site/en/integrations/integrate_with_spark.md +++ b/site/en/integrations/integrate_with_spark.md @@ -1,10 +1,10 @@ --- id: integrate_with_spark.md summary: Apache Spark and Databricks integrates with Milvus and Zilliz Cloud to combine big data processing with vector search. Learn how to build AI-powered search and analytics with Spark-Milvus connector. -title: Use Apache Spark and Databricks with Milvus for AI Data Pipelines +title: Use Apache Spark and Databricks with Milvus for AI Data Pipelines --- -# Use Apache Spark and Databricks with Milvus for AI Data Pipelines +# Use Apache Spark and Databricks with Milvus for AI Data Pipelines The [Spark-Milvus Connector](https://github.com/zilliztech/spark-milvus) provides integration of Apache Spark and Databricks with Milvus and [Zilliz Cloud](https://zilliz.com/product/integrations/Databricks) (fully managed Milvus). It bridges Apache Spark’s powerful big data processing and machine learning (ML) features with Milvus’s state-of-the-art vector search capabilities. This integration enables streamlined workflow for AI-powered search, advanced analytics, ML training, and efficient management of large-scale vector data.