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:

• Azure Data Architecture Guide – Blog #1: Introduction

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.

Highlighted services

• 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
• Scenarios:
  • Free-form text search
  • Working with CSV and JSON files
• Technology Choices
  • Analytical data stores
  • Analytics and reporting
  • Batch processing
  • Data storage
  • Real-time message ingestion
  • Stream processing

Please peruse ADAG to find a clear path for you to architect your data solution on Azure:

• Read the Azure Data Architecture Guide

Azure CAT Guidance

"Hands-on solutions, with our heads in the Cloud!"