Azure Big Data & Analytics: 1-Day Assessment

Big Data & Analytics on Azure

Microsoft Azure offers a powerful set of services as new options and innovations to leverage on for your big data and analytics solutions. But it could be a daunting task to choose the right services to use and build an optimal solution for your use case without a trusted advisor by your side.

With years of experience helping our clients building (big) data solutions and solving (advanced) analytics problems on Azure, we as T-Systems have established a common blueprint for building Big Data and Analytics solutions leveraging Azure services with 5 stages:

1. Data Sources (Any relational DB, NoSQL, File System, SaaS and Devices Sources)
2. Data Ingestion/Processing (Azure Data Factory, Azure Databricks, Azure Function, Azure Event/IoT Hubs and Azure Stream Analytics)
3. Data Storage (Azure Blob Storage, Azure Data Lake Store, Azure SQL DB, Azure Synapse, Azure Cosmos DB and Azure Table Storage)
4. Data Analytics (Azure Analysis Services, Azure Synapse Analytics, Azure ML Studio, Azure Databricks and Azure Cognitive Services)
5. Reporting (Azure Log Analytics, Azure Monitor, Azure Notification Hubs and Power BI)

Within an one-day assessment session we will walk you through the big data & analytics capabilities of Azure and analyze your requirements and current situation. Based on your use cases, we will hand pick the best fitting services offered on Azure of each stage and streamline them together to build in a complete and customized solution plan for you. After the session as a result we will deliver a documented architecture vision, solution outline and advisory on next steps.