HDInsight

Migrating big data workloads to Azure HDInsight

quarta-feira, 1 de maio de 2019

Migrating big data workloads to the cloud remains a key priority for our customers and Azure HDInsight is committed to making that journey simple and cost effective. HDInsight partners with Unravel whose mission is to reduce the complexity of delivering reliable application performance when migrating data from on-premises or a different cloud platform onto HDInsight.

Senior Program Manager

Understanding HDInsight Spark jobs and data through visualizations in the Jupyter Notebook

segunda-feira, 29 de abril de 2019

The Jupyter Notebook on HDInsight Spark clusters is useful when you need to quickly explore data sets, perform trend analysis, or try different machine learning models. Not being able to track the status of Spark jobs and intermediate data can make it difficult for data scientists to monitor and optimize what they are doing inside the Jupyter Notebook.

Senior Program Manager, Big Data Team

Announcing general availability of Apache Hadoop 3.0 on Azure HDInsight

segunda-feira, 15 de abril de 2019

Today we’re announcing the general availability of Apache Hadoop 3.0 on Azure HDInsight. In partnership with Cloudera, Microsoft Azure is the first cloud provider to offer customers the benefit of the latest innovations in the most popular open source analytics projects, with unmatched scalability, flexibility, and security.

Principal Group Program Manager, Azure HDInsight

Monitoring on Azure HDInsight Part 1: An Overview

quarta-feira, 13 de março de 2019

Azure HDInsight offers several ways to monitor your Hadoop, Spark or Kafka clusters. They can be broken down into three main categories: cluster health and availability, resource utilization and performance, and job status and logs.

Program Manager, Azure HDInsight

Processing trillions of events per day with Apache Kafka on Azure

terça-feira, 5 de fevereiro de 2019

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.

Software Engineer