Hi @Anjali Shevadkar - There are a few options here, and I will provide them here as an answer based upon the general nature of the question. If there are specific requirements or if you are looking for a specific service for which to host your data, that detail would be helpful.
I felt that Azure Data Catalog is a good tag for which your inquiry should be hosted under, as it applies to MDM but, we also have specific MDM solutions. Please see: Master Data Management: Maestro Server V6
Additional Services that would play well here are the following:
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Azure Synapse Analytics: Today enterprise analytics requires operating at massive scale on any kind of data, whether raw, refined, or highly curated. In the past, building these kinds of analytics solutions required enterprises to stitch together big data and data warehousing technologies such as Spark and SQL. Next, they'd need to integrate them into rich data pipelines that work across data in relational stores and data lakes.
Solutions like this are difficult to build, configure, secure, and maintain, which delays the swift extraction of intelligent insight.
Azure Synapse is an integrated analytics service that accelerates time to insight from all data at any scale, across data warehouses and big data analytics systems. It brings together the best of the SQL technologies used in enterprise data warehousing, Spark technologies used in big data analytics, and Pipelines to orchestrate activities and data movement.
Azure Databricks: Azure Databricks is an Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services platform. Designed with the founders of Apache Spark, Databricks is integrated with Azure to provide one-click setup, streamlined workflows, and an interactive workspace that enables collaboration between data scientists, data engineers, and business analysts.
Azure HDInsight: Azure HDInsight is a managed, full-spectrum, open-source analytics service in the cloud for enterprises. You can use open-source frameworks such as Hadoop, Apache Spark, Apache Hive, LLAP, Apache Kafka, Apache Storm, R, and more.
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Please also see the big data architectures reference in the Azure Architecture Center, as there is additional MDM design considerations and approaches that are discussed.