Originally posted on https://devblogs.microsoft.com/cosmosdb/partial-document-update-ga/
We’re excited to announce the general availability of partial document update for the Azure Cosmos DB Core (SQL) API, which was announced at Microsoft Ignite!
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Getting started with Kafka Connector for Azure Cosmos DB using Docker
Having a local development environment is quite handy when trying out a new service or technology. Docker has emerged as the de-facto choice in such cases.
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Redis Streams in Action - Part 4 (Serverless Go app to monitor tweets processor)
Welcome to this series of blog posts which covers Redis Streams with the help of a practical example. We will use a sample application to make Twitter data available for search and query in real-time.
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Processing Time-Series Data with Redis and Apache Kafka
RedisTimeSeries is a Redis Module that brings native Time Series data structure to Redis. Time Series solutions which were earlier built on top of Sorted Sets (or Redis Streams) can benefit from RedisTimeSeries features such as high volume inserts, low latency reads, flexible query language, down-sampling and much more!
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Redis Streams in Action - Part 3 (Java app to process tweets with Redis Streams)
Welcome to this series of blog posts which covers Redis Streams with the help of a practical example. We will use a sample application to make Twitter data available for search and query in real-time.
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Redis Streams in Action — Part 2 (Tweets consumer app)
Welcome to this series of blog posts which covers Redis Streams with the help of a practical example. We will use a sample application to make Twitter data available for search and query in real-time.
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Redis Streams in Action: Part 1 (Intro and overview)
Welcome to this series of blog posts which covers Redis Streams with the help of a practical example. We will use a sample application to make Twitter data available for search and query in real-time.
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RediSearch in Action
Redis has a versatile set of data structures ranging from simple Strings all the way to powerful abstractions such as Redis Streams.
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Real-Time Search and Analytics with Confluent, Azure, Redis, and Spring Cloud
Self-managing a distributed system like Apache Kafka ®, along with building and operating Kafka connectors, is complex and resource intensive. It requires significant Kafka skills and expertise in the development and operations teams of your organization.
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Autoscaling Redis applications on Kubernetes 🚀🚀
This blog post demonstrates how to auto-scale your Redis based applications on Kubernetes. Redis is a widely used (and loved!) database which supports a rich set of data structures (String, Hash, Streams, Geospatial), as well as other features such as pub/sub messaging, clustering (HA) etc.
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