엔터프라이즈 데이터 패브릭 : 주요 추진요인, 생태계 현황, 매력적인 활용 사례

Actionable Benefits:

• Understand the concept of an enterprise data fabric architecture.
• Identify key technology providers that play an integral role in an enterprise data fabric architecture.
• Identify compelling use cases that will drive enterprise data fabric deployments.

Critical Questions Answered:

• Why should enterprises consider embarking on a data fabric journey?
• What are the key components of an enterprise data fabric ecosystem?
• Which technology providers should enterprises consider when embarking on an enterprise data fabric transformation?

Research Highlights:

• Enterprise data fabric deployments caused by the importance of breaking down data silos to leverage Artificial Intelligence (AI)/Machine Learning (ML) and generative AI applications.
• Visibility of the role of cloud hyperscalers and data management technology providers in building a robust enterprise data fabric architecture.
• Better customer experience is a key business goal for enterprises looking to deploy an enterprise data fabric architecture.

Who Should Read This?

• Enterprise Chief Information Officers (CIOs) and Chief Technology Officers (CTOs) with disparate data sources and facing challenges integrating and breaking down data silos.
• Cloud hyperscalers looking to develop a symbiotic relationship with data management technology providers.
• Data management technology providers looking to build successful use cases to drive engaging customer conversations.

TABLE OF CONTENTS

Key Takeaways

Key Forecasts

Key Companies and Ecosystem Players

HPE

IBM

Hitachi Vantara

Informatica

TIBCO

Enterprise Data Fabric Key Components and Use Cases

Key Components in an Enterprise Data Fabric Ecosystem

Key Enterprise Data Fabric Architecture Use Cases

Recommendations and Closing Remarks