When it comes to modern data goals, it's easy to build a redundant architecture to ensure the long-term viability of your company without depending on a specific engine or storage format. This approach allows data users to directly digest the data in the data source using SQL, simplifies confusion, and also makes it easier for data teams to work with.

To create or redesign the data network to address a wider range of use cases, there are three main aspects to consider:

1. Depends on supplier

2. Adopt fast welding methods

3. Prioritize experience

4. Investigate additional platform features

By adopting a modern data environment, storing data in formats independent of the technology provider, you can effectively facilitate the democratization of data, both now and in the future, and ensure that your organization's data is seamlessly integrated and used

This special guide opens the door to the universal value of modern data gateways, providing organizations with similar unrealized capabilities. It offers the advantages of free file and table formats, the separation of storage and processing, and the flexibility to support multiple engines. Discover how modern data gatekeepers can break the chains of technology providers, unlock new levels of innovation and performance and control your data.

What will you learn when you read this document?

• How can you optimize data goals for maximum performance and efficiency?
• What are the best practices for data-driven architecture and management?
• How can you leverage fast formats and advanced engines to unlock the full potential of your data?
• What strategies can you implement to ensure data quality and integrity?
• How can you break out of the pitfalls of the data swamp and make the most of your data?