Data Estate and Analytics Deployment Planning Services

M4 Cloud provides in-depth assessment and planning for deploying, upgrading, or migrating to a Azure Data Lake Store, Azure Databricks, Cosmos DB and SQL Server hybrid cloud solution. Engagements can help you review architectural and business considerations and create a detailed implementation plan.​​​

Our service offerings includes the following engagement:

  • Data Estate Modernization
  • Implementing Cloud Scale Analytics using Azure Synapse
  • Implementing Globally Distributed Data using Cosmos DB

Data Estate Modernization


Help modernize customers’ data estate by upgrading their on-premises data platforms to the latest version of SQL Server or migrating them to Azure. Support your customers in evaluating their current data infrastructure to determine best options to modernize their data estate; driving cost savings and increased productivity. Cloud scenarios include: SQL Server migration to Azure SQL Database Managed Instance; OSS DB migration to Azure Database for MySQL and PostgreSQL; NoSQL migration to Azure Cosmos DB. On-premises scenarios include: Legacy SQL Server Upgrade to SQL Server 2017 (incl. SQL on Linux).​​​​​


Implementing Cloud Scale Analytics using Azure Synapse


This engagement focuses on driving business insights and analytics to more people in your customers’ organization. Cloud Scale Analytics empowers users to easily consume the data and insights that matter most, with the tools they prefer. Azure Synapse and Power BI allows customers make data-driven decisions and take intelligent action, to achieve successful business results. 

Key scenarios include: Deploying Azure Synapse for customers using on-premises legacy DW appliances; and Deploying Power BI for customers looking to get rich insight and visualizations from their data.


Implementing Globally Distributed Data using Cosmos DB


Help your customers land Cosmos DB by targeting NoSQL Migrations (MongoDB, Cassandra, etc.) and new applications to be built using Cosmos DB. This will enable them to benefit from global distribution of data, elastic storage, and SLA-backed single-digit millisecond low latency, resulting in an optimized database scale and performance.​