Resources

Modernisation Webinar: Moving Workloads from Relational Databases to MongoDB's Document Model

Speaker: Boris Bialek, Global Head of Innovation + Industry Solutions, MongoDB MongoDB is a general-purpose, document model database that supports modern, mission-critical applications around the globe. Developers have consistently ranked MongoDB as one of the most wanted databases for many years, the main reason being the document model, which is a natural fit to modern object-programming frameworks and provides developers the fastest way to innovate in building transactional, operational, and analytical applications. In this webinar, we discussed how to get started with the modernization of applications on relational databases to the document model with MongoDB. Based on a practical example from the financial sector, we looked into the conversion of an application and its move to the cloud. At the end we introduced the MongoDB Smoke Estimator which allows you to build a quick business case for a successful conversion. No matter where you are in your data management journey, MongoDB offers a simplified, strategic solution that enables greater innovation with the flexibility to take risks without risking it all. This webinar introduced the simple steps to modernize and innovate traditional relational DB infrastructures to a flexible MongoDB data platform and will cover the following: Benefits and business value provided by an agile and flexible data infrastructure for application development Step-by-step migration strategy of relational database applications to the MongoDB document model, using an example from the financial sector Introduction to the Smoke Estimator, which allows you to generate a business case for the migration of your applications

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MongoDB’s 2022 Report on Data and Innovation

A survey of 2,000 IT professionals in Asia-Pacific reveals the importance of innovation — and the hidden tax that can hold it back. Innovation is hard. Researchers have suggested it takes 3,000 raw ideas to achieve just one commercial success. But it is also necessary; highly innovative organizations are more successful across a number of measures, including profitability. To better understand the role of data in enabling software-based innovation we spoke to 2,000 technology professionals across Asia (Australia, China, Hong Kong, India, New Zealand, South Korea, and Taiwan). Our survey and resulting report highlights the importance of innovation, the technical challenges to building new things, and the consequences when you fail to do so. Among our key findings: 73% say that data is the hardest part of building applications 60% say digital transformation has increased data architecture complexity Top blockers of innovation include developer workloads, data architecture, legacy technologies and technical debt We found the desire to innovate is not reflected in how technology teams spend their time or the way they work. From overly complex data architectures to the struggle to remain compliant in the collection and use of data, teams get slowed down and resources are depleted. features. These factors create a tax on innovation — a set of hurdles that make it harder for technologists to succeed and for organizations to build and maintain competitive advantage. To unlock all our findings and understand more about the need for an increased attention on innovation, download the full report.

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