Moving to a Data Fabric:Key Challenges and Enabling Technologies

As businesses strive to become more insights-driven, legacy architectures pose a big hurdle to achieving the agility necessary to succeed in managing evolving data requirements against increasingly diverse, distributed, and complex data landscapes. To maximize the value of data, businesses need to equip users with fast, easy access to reliable, high-quality data. Aimed at solving the enduring challenges of integrating, governing, and sharing data across the enterprise, data fabric architecture has emerged as a new approach to eliminating data silos and creating a unified view of data to facilitate self-service consumption.

The benefits of this scenario are easy to understand, but getting there is another story. There is no out-of-the-box or one-size- fits-all solution, and it's not a one-and-done project. Managing and orchestrating multiple data sources and platforms can be challenging. There can be issues with integration, security, performance, and data quality and integrity that need to be considered. At the same time, both new and existing technologies are helping organizations succeed, including knowledge graphs, data catalogs and data governance tools, data integration and virtualization, and data pipeline and orchestration tools.

To help IT leaders and data management professionals navigate enabling technologies and emerging best practices, we partnered with DBTA to host this special roundtable webinar.

Key Takeaways:

• Learn the key challenges many businesses face when migrating to a data fabric solution and how to avoid them.
• Gain insight on different kinds of available technology to help with the migration to a data fabric and long-term maintenance.
• Understand the value and importance of metadata in a data fabric.
• And more about how data fabric is the key to taking your data ecosystem to the next level, no matter how complex.