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Pembaruan bulanan untuk Azure Cosmos DB: Mei 2019

15 Mei

Upgraded Gremlin API functionality for Azure Cosmos DB is now available

KINI TERSEDIA

Enhanced Gremlin functionality in Cosmos DB Gremlin API is now available.

  • Azure Cosmos DB
  • Features
15 Mei

Enhanced SQL API query functionality in Azure Cosmos DB is now available

KINI TERSEDIA

Azure Cosmos DB SQL API provides support for Distinct, Skip & Take, Correlated Subquery, and Composite indexes.

  • Azure Cosmos DB
  • Features
15 Mei

Azure Cosmos DB Operator role for role-based access control (RBAC) is now available

KINI TERSEDIA

Azure Cosmos DB now provides a new RBAC role: Cosmos DB Operator. This new role lets you provision Azure Cosmos accounts, databases, and containers, but can’t access the keys that are required to access the data.

  • Azure Cosmos DB
  • Features
15 Mei

Enhanced Azure Resource Manager support for Azure Cosmos DB is now available

KINI TERSEDIA

Azure Cosmos DB now provides support for databases, containers, and offers in Azure Resource Manager.

  • Azure Cosmos DB
  • Features
9 Mei

Corrected billing for Azure SQL Data Warehouse and other Azure services

We’ve corrected billing for Azure SQL Data Warehouse and other Azure services that impacted EA customers only.

  • Azure Synapse Analytics
  • Azure Cosmos DB
  • HDInsight
  • Mesin Virtual
  • Services
7 Mei

Azure Cosmos DB API for etcd in preview

DALAM PRATINJAU

With a wire-protocol compatible API for etcd on top of Azure Cosmos DB, developers will automatically get highly reliable, globally distributed and highly available Kubernetes and K8 tools with no code changes or management required.

  • Azure Cosmos DB
  • Features
6 Mei

Azure Cosmos DB API for Spark and etcd

Azure Cosmos DB, a globally distributed multi-model database service, now offers APIs for Apache Spark and for etcd, a distributed key-value store designed to securely store data across a cluster. These updates bolster the abilities of Cosmos DB users to build and manage operational analytics workloads that run real time over globally distributed data. <br> <a href="https://azure.microsoft.com/en-us/blog/planet-scale-operational-analytics-and-ai-with-azure-cosmos-db/" data-event="area-build-announcements-clicked-announcement">Read blog | </a>See documentation for <a href="https://aka.ms/SparkAPI" data-event="area-build-announcements-clicked-announcement">Spark API | </a>See documentation for <a href="https://aka.ms/EtcdAPI" data-event="area-build-announcements-clicked-announcement">etcd API</a>

  • Azure Cosmos DB
  • Features
6 Mei

Azure Cosmos DB notebook experience

Azure Cosmos DB now provides a notebook experience for all APIs. The feature allows Python developers to enjoy a supported notebook experience for native APIs in Azure Cosmos DB. Notebooks are popular because they offer developers an easy way to share code and collaborate. <br> <a href="https://azure.microsoft.com/en-us/blog/planet-scale-operational-analytics-and-ai-with-azure-cosmos-db/" data-event="area-build-announcements-clicked-announcement">Read blog |</a><a href="https://azure.microsoft.com/services/cosmos-db/" data-event="area-build-announcements-clicked-announcement"> Learn more</a>

  • Azure Cosmos DB
  • Features
6 Mei

Built-in support for Apache Spark in Azure Cosmos DB now in preview

DALAM PRATINJAU

By using built-in support for Apache Spark and Jupyter notebooks, Azure Cosmos DB helps reduce time to insights by ingesting and serving data and running analytics against the local database replica in an Azure region.

  • Azure Cosmos DB
  • Features
6 Mei

Notebook support for all Azure Cosmos DB APIs is in preview

DALAM PRATINJAU

Azure Cosmos DB is enhancing the developer experience by adding notebook support in preview.

  • Azure Cosmos DB
  • Features

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