Azure analytics services overview

IntroductionThe current post presents an overview of the Azure analytics services, as of late March 2022. Given the dynamic nature of public clouds, this list will most likely change soon in the near future but nevertheless acts as a general point of reference when discussing Azure analytics services. You find an overview of all Azure service categories at https://stefanos.cloud/blog/azure-service-categories/. Azure analytics servicesGather, store, process, analyze, and visualize data of any variety, volume, or velocity by using the Azure analytics services.Azure Analysis ServicesEnterprise-grade analytics engine as a serviceAzure Data ExplorerFast and highly scalable data exploration serviceAzure Data FactoryHybrid data integration at enterprise scale, made easyAzure Data Lake StorageScalable, secure data lake for high-performance analyticsAzure Data Lake Storage Gen1Hyperscale repository for big data analytics workloadsAzure Data ShareA simple and safe service for sharing big data with external organizationsAzure DatabricksDesign AI with Apache Spark™-based analyticsAzure Stream AnalyticsReal-time analytics on fast-moving streaming dataAzure Synapse AnalyticsLimitless analytics with unmatched time to insightData CatalogGet more value from your enterprise data assetsData Lake AnalyticsDistributed analytics service that makes big data easyEvent HubsReceive telemetry from millions of devicesHDInsightProvision cloud Hadoop, Spark, R Server, HBase, and Storm clustersPower BI EmbeddedWhite label Power BI to quickly and easily provide exceptional customer facing dashboards and analytics in your own applicationsR Server for HDInsightPredictive analytics, machine learning, and statistical modeling for big dataAzure PurviewA unified data governance solution that maximizes the business value of your dataMicrosoft Graph Data Connect PreviewA secure, high-throughput connector designed to copy select Microsoft 365 productivity datasets into your Azure tenantAzure Chaos Studio PreviewImprove application resilience by introducing faults and simulating outagesAzure analytics services architecture considerationsMicrosoft provides a handful of useful resources for architecting Azure analytics solutions at: https://docs.microsoft.com/en-us/azure/architecture/solution-ideas/articles/analytics-start-here.Becoming certified in Azure analytics servicesThe most relevant certifications begin with Azure Data Fundamentals (DP-900 exam) and continue with the following exams and certifications:- Azure Data Engineer Associate (DP-203)- Azure Data Scientist Associate (DP-100)- Azure Database Administrator Associate (DP-300)Microsoft offers free MS Learn courses on Azure analytics services:- Getting started course: https://docs.microsoft.com/en-us/learn/paths/data-analytics-microsoft/- Azure Data Fundamentals course (Analytics): https://docs.microsoft.com/en-us/learn/paths/azure-data-fundamentals-explore-data-warehouse-analytics/ - Azure Synapse Analytics: https://docs.microsoft.com/en-us/learn/modules/introduction-azure-synapse-analytics/Referenceshttps://azure.microsoft.com/en-us/product-categories/analytics/
https://stefanos.cloud/blog/azure-analytics-services-overview/

Comments

Popular posts from this blog

Acronis Cyber Protect 15 virtual machine backup not working when using shared mode virtual disks vhds

How to perform hardware health checks in Windows

How to resolve Group Policy error codes 8007071a and 800706ba