Lonti Blog

Explore how machine learning transforms the pillars of data management—collection, storage, and analysis—for a smarter, more responsive future.

Migrate your data warehouse to the cloud for enhanced scalability, cost-efficiency, and agility. Discover the strategic benefits, best practices, and critical considerations for a successful transition in this comprehensive guide.

As the need to respond to the digital business landscape arises, the need for faster development and deployment of applications is also putting a lot more pressure on the enterprise to adapt.

Discover how NoSQL databases are transforming the landscape of mobile app development. Learn about the limitations of SQL, the advantages of NoSQL, and real-world applications. Explore architectural considerations and the future outlook of NoSQL in mobile apps.

Discover how Lonti's Martini and Bellini redefine low-code development by offering full customization and flexibility for backend and frontend applications.

Learn how data normalization and data models can ensure consistent and standardized data for accurate analysis and reporting. Discover the importance of entities, attributes, and constraints in achieving effective data normalization. Find out how data models play a crucial role in normalizing data across diverse systems. Gain insights into real-world use cases and the implementation, monitoring, and maintenance of data normalization.

Shelly Kramer dispels our fears that RPA will make people redundant and why embracing a culture of automation is crucial in today’s business setting.

This blog provides a comprehensive guide to filtering and sorting in APIs. It covers the types of filters commonly used in APIs, best practices, and common mistakes to avoid. By the end of the guide, developers will have a thorough understanding of how to efficiently retrieve specific data from an API, streamline API data retrieval, and improve their software integration processes.

Discover the multifaceted nature of data lake security and the challenges organizations face in protecting their valuable data. Learn about the intricate security measures and governance considerations needed to create a robust and resilient security architecture. Find out how authentication, authorization, data encryption, data masking, tokenization, monitoring, and auditing play a crucial role in securing data lakes. Explore the role of machine learning in data lake security and the future of data lake security in an evolving threat landscape.