Data Lake & Data Warehouse

In the current context, business areas require innovative ways to reach their goals and have effective relations with their customers. Agility and flexibility in the generation of data environments are key for exploration of new data sources as well as optimize insights from existing ones. A successful Data Lake requires solid architectural definitions to promote data trust and a continuous evolution to match the pace that the business needs. The main goal of this offering is to generate and maintain a governed data architecture that support the single version of truth.

As Microsoft Certified Partners, we help our customers design, implement, and maintain data repositories (Data Lake, Data Warehouse) based on Azure stack.

Benefits:

• Base for innovation: generate agile data repositories as a base for the business innovation
• Methodology: promote data trust through standardized data integrations processes and object catalog control
• Adaptable: offering can be focused on the evolution of existing repositories or creation of new repositories
• Tools: cloud or hybrid solution including components like database (eg. Azure SQL), data integration tools (eg. ADF, Synapse), and orchestration tools (eg. Logic Apps)
• Solid architecture: use of reference architectures and a development framework that applies industry best practices
• DevOps integration: design towards reducing manual operations through DevOps methodologies
• Continuous value generation: work under agile methodologies to deliver in short cycles and reduce gaps between business needs and delivery

Our professional services include the following among other things:

• Data architecture design.
• Data integration strategy / implementation.
• Data modeling.
• Data visualization design / implementation.
• User training.
• Deployment of the solution.
• Knowledge transfer and support services.