Detailed understanding of technology, data governance, management, and organizational and commercial challenges that vendors face in bringing the data fabric concept to enterprises.
Actionable recommendations for cloud service providers on how to adjust their product offerings to mitigate technology challenges.
Detailed guidance on how ecosystem partnerships can help suppliers address operational/management and organizational challenges.
Critical Questions Answered
What challenges do data integration vendors/cloud service providers face in bringing data fabric deployments to enterprises?
How can vendors adjust their offering to mitigate technology challenges?
What steps are necessary to implement maximum adherence to data governance regimes and compliance arrangements?
How can data fabric suppliers help enterprises solve operational and management challenges?
What are the commercial challenges that targeted enterprise deployments entail? And how can vendors mitigate these challenges?
Research Highlights
Detailed breakdown of industrial data generation through 2030, broken down by different sources of data.
In-depth analysis of connectivity trends in manufacturing: extensive review of fixed-line versus wireless connectivity trends, outlining the dominant role of fixed-line.
Extensive map of challenges for vendors to bring data fabric deployments to enterprises.
Recommendations for vendors to address these challenges with technology advancements and ecosystem partnerships.
Who Should Read This?
Product development managers charged with overcoming technical hurdles and designing products that balance flexibility with scalability.
Sales and business development executives facing the challenge of positioning and selling complex data fabric solutions in an evolving industrial market.
Chief Technology Officers (CTOs) needing to align product roadmaps with market demands while navigating the complex interoperability, security, and customization requirements of large-scale manufacturing and industrial clients.
Table of Contents
1. KEY FINDINGS
2. KEY FORECASTS
3. KEY COMPANIES AND ECOSYSTEMS
3.1. AMAZON WEB SERVICES
3.2. DATABRICKS
3.3. DENODO
3.4. IBM
3.5. INFORMATICA
3.6. ORACLE
3.7. MICROSOFT
3.8. QLIK
3.9. SNOWFLAKE
4. CHALLENGES IN BRINGING DATA FABRICS TO ENTERPRISES
5. OVERCOMING CHALLENGES TO FOSTER DATA FABRIC DEPLOYMENTS