Solve the top 4 common data challenges with Azure and Matillion ETL
The answers to today’s most common business questions can be uncovered using predictive analytics, machine learning, and artificial intelligence. However, to get to that level of data maturity, enterprises first need to break down silos and unbury data across their many source systems.
Data engineers struggle not only with siloed data but with separate tooling, directing their time away from data decisions to data management decisions. Microsoft Azure Synapse Analytics reduces this overhead by providing a single platform for end-to-end data analytics.
Join us as we address the four most common data challenges for global enterprises using Matillion ETL and Azure Synapse Analytics together.
We will tackle:
- Migrating your data from on-premises systems to the cloud.
- Unifying access to your entire cloud technology stack for more comprehensive analytics.
- Reducing development time to free up teams for more strategic projects.
- Building an end-to-end solution from initial migration to AI so to improve customer experiences and accelerate business.