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cosmosdb

A Cosmonaut’s guide to the latest Azure Cosmos DB announcements

At Microsoft Build 2019 we announced exciting new capabilities, including the introduction of real-time operational analytics using new built in support for Apache Spark and a new Jupyter notebook experience for all Azure Cosmos DB APIs. We believe these capabilities ... continue reading
Title card, Planet Scale Opperational Analytics with Azure Cosmos DB.

Planet scale operational analytics and AI with Azure Cosmos DB

We’re excited to announce new Azure Cosmos DB capabilities at Microsoft Build 2019 that enable anyone to easily build intelligent globally distributed apps running at Cosmos scale: Planet scale, operational analytics with built-in support for Apache Spark in Azure Cosmos ... continue reading
Microsoft Azure services

Spark + AI Summit – Developing for the intelligent cloud and intelligent edge

We are truly at a unique tipping point in the history of technology. The pace of growth is more rapid than ever before, with estimates of more than 150B connected devices and data growth up to 175 Zettabytes by 20251 ... continue reading
Azure Cognitive Services on Spark

Dear Spark developers: Welcome to Azure Cognitive Services

This post was co-authored by Mark Hamilton, Sudarshan Raghunathan, Chris Hoder, and the MMLSpark contributors. Integrating the power of Azure Cognitive Services into your big data workflows on Apache Spark™ Today at Spark + AI Summit 2019, we're excited to ... continue reading

Microsoft open sources Data Accelerator, an easy-to-configure pipeline for streaming at scale

This blog post was co-authored by Dinesh Chandnani, Principal Group Engineering Manager​, Microsoft. Standing up a data pipeline for the first time can be a challenge and decisions you make at the start of a project can limit your choices ... continue reading

Manage Azure HDInsight clusters using .NET, Python, or Java

We are pleased to announce the general availability of the new Azure HDInsight management SDKs for .NET, Python, and Java. Highlights of this release More languages: In addition to .NET, you can now easily manage your HDInsight clusters using Python ... continue reading
3 ways to gain insights with SQL Server 2019 big data clusters

3 ways to gain insights with SQL Server 2019 big data clusters

Businesses today are faced with the challenge of staying profitable and investing in future innovations. Speed and flexibility are the name of the game, and effective data-scaling techniques are highly sought after. Yet exploding data volumes, diverse data types, and ... continue reading
Azure Security Center alert on a file downloaded and executed.

Azure Security Center exposes crypto miner campaign

Azure Security Center discovered a new cryptocurrency mining operation on Azure customer resources. This operation takes advantage of an old version of known open source CMS, with a known RCE vulnerability (CVE-2018-7600) as the entry point, and then after using ... continue reading
ambari_dashboard

Monitoring on Azure HDInsight Part 2: Cluster health and availability

This is the second blog post in a four-part series on Monitoring on Azure HDInsight. "Monitoring on Azure HDInsight Part 1: An Overview" discusses the three main monitoring categories: cluster health and availability, resource utilization and performance, and job status ... continue reading
Link to SQL Server Big Data Cluster.

How to develop and submit Spark jobs to SQL Server Big Data Clusters in IntelliJ

Were delighted to release the Azure Toolkit for IntelliJ support for SQL Server Big Data Cluster Spark job development and submission. For first-time Spark developers, it can often be hard to get started and build their first application, with long ... continue reading
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