In our second blog in this series, we'll continue to explore the Azure Data Architecture Guide! Find the first blog in this series here:
The following example is a technology implementation we have seen directly in our customer engagements. The example can help lead you into the ADAG content to make the right technology choices for your business.
On-demand big data analytics
Create cloud-scale, enterprise-ready Hadoop clusters in a matter of minutes for batch and real-time data processing. With Azure, you can build your entire big data processing and analytics pipeline from massive data ingest to world-class business intelligence and reporting, using the technology that's right for you.
- Azure Storage blobs
- Interactive Query (Hive LLAP) on HDInsight
- Power BI
- Azure Event Hubs
- Azure Stream Analytics
- Azure SQL Database
Related ADAG articles
- Big Data Architectures
- Technology Choices
Please peruse ADAG to find a clear path for you to architect your data solution on Azure:
Azure CAT Guidance
"Hands-on solutions, with our heads in the Cloud!"