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 Data Factory adds new connectors for data ingestion into Azure to empower mordern data warehouse solutions and data-driven SaaS apps: Cosmos DB MongoDB API, Google Cloud Storage, Amazon S3, MongoDB, REST, and more.
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.
We are pleased to announce the general availability for Azure HDInsight Tools for Visual Studio Code (VSCode). HDInsight Tools for VSCode give developers a cross-platform lightweight code editor for developing HDInsight PySpark and Hive batch jobs and interactive query.
We recently introduced support for HDInsight in Azure CLI as a public preview. With the addition of the new HDInsight command group, you can now utilize all of the features and benefits that come with the familiar cross-platform Azure CLI to manage your HDInsight clusters.
Data integration is complex and helps organizations combine data and business processes in hybrid data environments. The increase in volume, variety, and velocity of data has led to delays in monitoring and reacting to issues.
Earlier this year in July, we announced the public preview for Virtual Network Service Endpoints and Firewall rules for both Azure Event Hubs and Azure Service Bus. Today, we’re excited to announce that we are making these capabilities generally available to our customers.
In today’s high-productivity environment, processing large amounts of data each millisecond is becoming a common business requirement. This is why an internal Microsoft project named for “a trillion events per day” is now available under open-source as Trill.