Breaking Down Data Silos – The Critical Role of Data Orchestration in Enterprise Data Management

Data orchestration often gets overshadowed by its higher profile data protection sibling but recent trends are shining a bright light on this important data management capability. In this blog, we’ll discuss these trends and our announcement with Microsoft focused on cloud migration.

The Problem of Data Silos

Enterprises at the intersection of big data and cloud are looking to optimize their data strategy while leveraging the cloud to reduce infrastructure costs and risks. As a result, two key trends have emerged:

  • Proliferation of Hadoop and NoSQL Data Silos – in an effort to be more agile, individual lines-of-business, data teams, and DevOps teams are building new applications based upon Hadoop and NoSQL resulting in multiple silos of data across the enterprise.
  • Massive Migration to the Cloud – Recognizing the cost and efficiency benefits of the cloud for infrastructure-as-a-service, these same enterprises are rapidly building new applications in the cloud and/or migrating applications from on-premises to the cloud. The result is that cloud platforms including Azure Data Lake Storage, HDInsight, and Azure Cosmos DB are among the fastest growing cloud services.

In aggregate, silos of data and the inability to easily manage data across database cloud boundaries significantly undermines organizations’ ability to accelerate implementation of an enterprise-wide data strategy.

Data Orchestration with a Capital ‘O’

Eliminating data silos and boundaries are two of the problems Imanis Data set out to solve with our machine-learning powered enterprise data management platform. Specifically, we enable complete data freedom by providing automated migration of data seamlessly across databases and cloud boundaries as follows:

  • Migration of data across like-to-like databases (e.g. upgrading to a later version of MongoDB)
  • Migration of data across like-to-unlike databases (e.g. changing from one Hadoop database to another)
  • Migration of like-to-like or like-to-unlike database from on-premises to public cloud platforms (e.g. Datastax on-premises to Datastax in the cloud, or MongoDB on-premises to Azure Cosmos DB)

The Great Migration

In response to the massive migration of data to the cloud, our recent announcement with Microsoft showcases new data protection and orchestration capabilities designed to help enterprises migrate data to Microsoft Azure, specifically:

  • ‘Any NoSQL’ to Azure Cosmos DB Cloud Migration – expanding upon our existing support for MongoDB to Azure Cosmos DB automated cloud migration, we will be collaborating with Microsoft to add support for migration from other NoSQL databases to Azure Cosmos DB, with the goal of providing our customers a simple, automated, solution for migrating data between multiple NoSQL databases.
  • Azure Data Lake Storage 2.0 Data Protection and Migration – building on our existing backup and recovery support for Azure Data Lake Storage 1.0, we are adding backup and recovery support for Azure Data Lake Storage 2.0 as well as automated data migration from Azure Data Lake Storage 1.0 to 2.0.
  • HDInsight Data Protection and Cloud Migration – in addition to supporting backup and recovery for HDInsight, Imanis Data will be adding cloud migration support to HDInsight from the latest versions of Cloudera and Hortonworks.

The solution is available on Microsoft Marketplace here. Over the coming months, we will be collaborating with Microsoft to train and enable their ecosystem of system integrators (SI’s) providing them the tools to service their customers’ cloud migration needs. If you are a reseller or SI you can learn more about our partner program here.

To learn more about our new capabilities, you can check out the following resources:

You can also learn more about Imanis Data technology here.

Data orchestration is one of the key pillars of our enterprise data management strategy, along with data protection and machine-learning powered automation. If any of what I’ve discussed today strikes a chord with you, check us out at

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