Tackling Cloud Data Integration Woes with the Denodo Platform
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Over the last decade, the rise of cloud storage technologies and the associated ease of implementing new applications and IT systems has led to data silos and made the data landscape, spread across these hybrid and multi-cloud environments, look more fragmented than ever. These siloed systems hinder decision-making since the analytics are unable to fully unlock the insights from the data. The biggest challenge related to integrating data that resides in different public, private, and hybrid cloud environments, or migrating data to the cloud from on-premises systems comes from the fact that cloud systems are often architected with scalability or performance in mind, not around cloud data integration.

Cloud Data Integration Challenges

Since the cloud systems rapidly scale up or down, the data stored on dozens, or hundreds of cloud instances gets difficult to synchronize with external systems. Depending on the data volumes and the required data transfer frequency, moving data between cloud systems can be time-consuming, error-prone, or even unfeasible. The different schemas and data formats, and the lack of a standard approach or protocol for integrating data between cloud systems, worsens the situation further. Additionally, data connectors need to be constantly updated, as new cloud services are introduced or as applications get updated or modified.

Cloud Data Integration with the Denodo Platform

Without the right automated processes and systems for cloud data integration, developers have to manually set up multiple physical integrations, test those integrations, and verify the data to see if it has been transferred correctly. In addition, they have to transform data so that it conforms to the file format or the data model of the different cloud systems. Given the complexity of building such data integration flows, many organizations have started using data integration platforms, which have pre-built adapters to connect to many data source systems, and makes integration faster, easier, and less error prone. The Denodo Platform, based on data virtualization technology, has become a preferred choice for cloud data integration. The platform provides more than 175 different adapters, enabling enterprises to effortlessly connect their various data sources, be they on-premises or in the cloud. The Denodo Platform enables the creation of logical connections between the data sources. These connections are flexible, easy to create, and take only a fraction of the time it takes to create the rigid, physical connections often created with traditional extract, transform, and load (ETL) technology. The data virtualization process, unlike ETL, does not replicate the data, saving precious storage space, reducing data synchronization efforts, and minimizing data footprint. The integrated data provides a consistent view of the data with frequent or real-time updates, removing the possibility of errors in analysis and decisions based on incorrect or insufficient data.

A Few Examples of the Denodo Platform Streamlining Cloud Data Integration

The Denodo Platform is currently being leveraged by hundreds of organizations across industrial verticals. One of the world’s largest fleet management companies, which has its operations spread across more than 30 different countries, wanted to move much of its data to the cloud. The company used the Denodo Platform to migrate the data from on-premises systems to cloud applications. The company was able to move this data to the cloud with zero interruption of their ongoing business, a key consideration for many companies that want to embark on a similar journey to the cloud, but need to ensure that there would be no interruption of their ongoing business.

Another major insurance provider, based out of the Netherlands, has implemented the Denodo Platform for Microsoft Azure. The company can flexibly combine data from on-premises systems and cloud solutions and unlock insights from the new data sources much more quickly. Now users can access the data from one central location, without the data having to be physically present at that location. With the company’s previous situation, ETL data processing could take weeks or even months. In contrast, with the Denodo Platform, data is accessed instantly and is not duplicated. In addition, the size, location, and technology of the different source systems matter much less.

The Denodo Platform has enabled many organizations to accelerate their cloud journeys with zero business disruption. It has also enabled many to substantially reduce costs, compared with other available technologies, while also building capabilities to meet both current and future needs.

Sutender Mehta