Complex implementation is one of the key factors restraining the growth of the global data catalog market. Data catalog solutions require integrating multiple data sources and establishing governance over distributed data assets. This presents significant implementation challenges for organizations. Setting up a centralized data catalog is a complex and lengthy process as it involves mapping databases, data assets, organizing metadata, and defining access policies. It requires strong data governance practices and cross-functional collaboration between IT, data engineering, and business teams. Implementing a data catalog also means changing existing workflows, processes, and tools used by teams to manage and access data. This leads to higher adoption risks and costs for organizations.
The complexity increases manifold for large enterprises that have thousands of data sources in various formats spread across multiple departments, regions, and legacy systems. Integrating such sprawling data landscapes into a unified catalog is an enormous technical challenge. It requires proper planning, choosing the right technologies, dedicating skilled resources for custom development and integrations. Even simple tasks like defining standard metadata schemas become difficult due to the diversity of data.
Market Opportunities: Growth of cloud-based services
The rapid growth of cloud-based services across industries provides a massive opportunity for the global data catalog market. As more companies digitally transform their operations and move workloads and data to public and hybrid clouds, there is a growing need to track, discover, and organize the massive amounts of data that gets stored, created, and shared on these platforms.
Cloud platforms offer on-demand, elastic and pay-per-use resources which allow organizations to scale up and down as required. However, as companies scale their reliance on cloud, it becomes difficult for users to locate relevant data assets for their tasks. This is where data catalog tools play a crucial role by building a centralized directory of all structured and unstructured data sources. They provide data governance, search functionality, annotations, and contextual information to help users and applications find and understand data no matter where it physically resides - on-premises or in private/public clouds.
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