Comments on: Optimized Read-Throughput by Azure Cosmos DB Spark Connector/2019/07/19/azure-cosmosdb-spark-connector-partition-throughput/Professional Development, Data ScienceThu, 26 Dec 2019 04:11:54 +0000hourly1http://wordpress.com/By: Azure Update (2019.07.25) | ブチザッキ/2019/07/19/azure-cosmosdb-spark-connector-partition-throughput/comment-page-1/#comment-25818Wed, 24 Jul 2019 19:10:14 +0000/?p=8307#comment-25818[…] Optimized Read-Throughput by Azure Cosmos DB Spark Connector […]

Like

]]>By: Azure Databricks tutorial for TensorFlow developers (TensorFlowOnSpark) – tsmatz/2019/07/19/azure-cosmosdb-spark-connector-partition-throughput/comment-page-1/#comment-25688Fri, 19 Jul 2019 09:33:37 +0000/?p=8307#comment-25688[…] data loading (integrated with PolyBase), data read parallelism (for SQL Data Warehouse), and distributed processing (between Spark worker nodes and Cosmos DB data nodes), etc. In this post we simply use and interact with Azure Data Lake Storage (ADLS) for your […]

Like

]]>