HDInsight
Provision cloud Hadoop, Spark, R Server, HBase, and Storm clusters
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Pros
- Open source big data
- Legacy workloads
- Existing Hadoop skills
- Managed service
- Portability between clouds and on-prem
- Data Factory integration
- Flexible compute options (VMs)
- Customizable clusters
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Cons
- Decline in Hadoop adoption
- Relatively high operational / admin costs
- Steep learning curve
- No consumption-based SKUs
Read our blog posts about HDInsight
AWS vs Azure vs Google Cloud Platform - Analytics & Big Data
Embracing Disruption - Financial Services and the Microsoft Cloud
We have produced an insightful booklet called "Embracing Disruption - Financial Services and the Microsoft Cloud" which examines the challenges and opportunities for the Financial Service Industry in the UK, through the lens of Microsoft Azure, Security, Privacy & Data Sovereignty, Data Ingestion, Transformation & Enrichment, Big Compute, Big Data, Insights & Visualisation, Infrastructure, Ops & Support, and the API Economy.
Spinning up 16,000 A1 Virtual Machines on Azure Batch
We recently completed a technical proof of concept to see if the new Azure Batch service could scale to meet the demands of a Big Compute workload.