Azure Database for PostgreSQL provides a fully managed, enterprise-ready community PostgreSQL database as a service. The PostgreSQL Community edition helps you easily migrate existing apps to the cloud or develop cloud-native applications using languages and frameworks of your choice.
Built-in machine learning models for anomaly detection in Azure Stream Analytics significantly reduces the complexity and costs associated with building and training machine learning models. This feature is now available for public preview worldwide.
Customers love Azure Stream Analytics for its ease of analyzing streams of data in movement, with the ability to set up a running pipeline within five minutes. Optimizing throughput has always been a challenge when trying to achieve high performance in a scenario that can't be fully parallelized.
Azure Data Explorer (ADX) is an outstanding service for continuous ingestion and storage of high velocity telemetry data from cloud services and IoT devices.
Cloud data integration helps organizations integrate data of various forms and unify complex processes in a hybrid data environment. A number of times different organizations have similar data integration needs and require repeat business processes.
n the current era, companies generate huge volumes of data every second. Whether it be for business intelligence, user analytics, or operational intelligence; ingestion, and analysis of streaming data requires moving this data from its sources to the multiple consumers that are interested in it.
Azure にデータを取り込むための新しいコネクタが Azure Data Factory に追加され、最新のデータ ウェアハウス ソリューションとデータ駆動型 SaaS アプリ (Cosmos DB MongoDB API、Google Cloud Storage、 Amazon S3、MongoDB、REST など) が支援されるようになりました。
Migrating on-premises Apache Hadoop® and Spark workloads to the cloud remains a key priority for many organizations. In my last post, I shared “Tips and tricks for migrating on-premises Hadoop infrastructure to Azure HDInsight.”
Do you know how to develop and source control your Microsoft Azure Stream Analytics (ASA) jobs? Do you know how to setup automated processes to build, test, and deploy these jobs to multiple environments?
Exploring data is like solving a puzzle. You create queries and receive instant satisfaction when you discover insights, just like adding pieces to complete a puzzle.