The Power of On-Premises Analytical Databases in a Cloud-First World

In today’s cloud-first world, balancing on-premises and hybrid data strategies is more crucial than ever. Learn why ‘good enough’ is no longer sufficient for today’s data-driven enterprises.

This whitepaper written by Mike Ferguson at Intelligent Business Strategies, sponsored by Exasol, dives deep into the expectations and challenges in data management and analytics, and how to tackle these challenges with optimized strategies.

Key Insights:

Discover the most pressing challenges in data management and analytics, including:

• Increasing data complexity and siloed architectures
• Data engineering challenges
• Regulation and compliance
• Performance and scalability
• Lack of a semantic layer

Learn what the future holds for Data and AI, including:

• The impact of using analytical queries, machine learning models and AI agents
• Major growth in data engineering pipelines
• More legislation and regulations

Read about the requirements for a “Cloud Smart” data and AI-driven enterprise, including:

• Fundamental requirements
• Scalable on-premises data engineering requirements
• Performance requirements
• Data governance requirements

Find out how, for example, modernizing legacy infrastructure and strategic cloud repatriation can reduce high compute costs while strengthening compliance, security, and data control. Prepare your organization for the age of AI by solidifying your data foundation and achieving optimized analytics performance.

Download the whitepaper now to learn more.