Predictive Analysis for Telecom – Integrating Azure Data Lake and Azure ML

Integrating Azure Data Lake with other services in the Microsoft Cortana Intelligence Suite, especially Azure Machine Learning, enables you to build end-to-end advanced analytics solutions and intelligent applications that impact revenue-critical decisions and actions. An end-to-end complete solution involves Azure Event Hub and Azure Stream Analytics to provide highly scalable data ingestion and event processing service, uses ADLS to archive native data, and utilizes ADLA to transform native data into structured data that can be used by Azure ML to develop business insights. Azure ML provides a fully managed cloud service to build, deploy and share advanced analytics, including predictive maintenance, energy demand forecasting, customer profiling, anomaly detection and many other possibilities. Advanced analytics results are stored in Azure SQL Data Warehouse, which provides high-performance query on your structured data. Power BI renders visualization on your streaming data and data in Data Warehouse to show business insights.