Top 16 best practices

There are many well-known data management pain points in the IT industry. Some of these pain points are expensive data operations, data silos, bad business decisions from unreliable data, data breaches, and data access bottlenecks. These challenges are faced by enterprises due to the high volume of data and its extensive proliferation. Data is growing at an exponentially high rate each day and it’s difficult for organizations to manage data effectively and efficiently while ensuring data is protected and of high quality. Best practices alongside architecture principles and data management frameworks are embedded into a Data Fabric design in order to address many of these pain points. These attributes create a high-performing and mature data architecture capable of handling a diverse set of use cases, across industries, that is optimized to address typical pain points faced by organizations in data management.

The key best practices discussed throughout...