What's Driving Next-Generation Data Platform Adoption in Financial Services in APAC with Capgemini, AWS, and MongoDB

Discussion with Capgemini, AWS, and MongoDB into Forrester's global data platform study Data is recognized as a core asset to drive customer growth and innovation but the legacy technology that still underpins many organizations is not built to support today’s requirements. Not only is this infrastructure costly and complex, it doesn’t support the diversity of workloads and functions that modern applications require. To overcome these challenges, organizations are increasingly adopting an integrated data platform that offers a seamless developer experience, runs anywhere, and scales to meet growing business needs. To better understand how such data platforms are being used, MongoDB commissioned Forrester Consulting to conduct a study questioning global IT decision makers at financial services and fintech organizations. Watch this webinar with Capgemini, AWS, and MongoDB industry experts to learn: The business problems that are triggering financial institutions to rethink their approach to data in APAC How data platforms are currently being used in the financial services industry and what is driving their adoption The impact of legacy infrastructure and the different modernization approaches organizations can take to overcome their challenges Presenters: Wei You Pan Principal, Financial Services Industry Solutions at MongoDB Richard Caven Worldwide Banking Specialist, Amazon Web Services (AWS) Kapil Arora Senior Director at Capgemini James Hancock Senior Field Marketing Manager at MongoDB [Moderator] We hope you enjoy the webinar, if you would like to download the report, you can do so here.

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Evaluating Database Models

When you’re in the design phase of an application, evaluating database models is a critical step in the process. The database model determines the way an application handles data, directly affects the application’s performance and the ability to adapt to changing business requirements. In recent years, new data models have come about as part of the wave of NoSQL databases. These data models were designed to be flexible in order to tackle the large volume and variety of data typically generated by Big Data applications. In contrast, the data models in relational databases are inflexible and ill equipped to accommodate the way applications process data today. When you choose a newer, flexible database model, you benefit from: Being able to change your data model over time to suit your evolving needs Greater efficiency from not having to make time-consuming updates to the existing data in your system Being able to combine data from multiple sources to create a single view of your data MongoDB leads the pack of new database models by offering a document data model that allows for iterative and adaptive data modeling. A flexible schema design lets you incorporate new data into your application without a predefined schema. This allows you to iterate on your application with no interruption or downtime. MongoDB is a database built for today’s always-on, Big Data applications. With MongoDB, you can simplify your design, dynamically modify the database model, and cut down on overall development time. Contact us or download the white paper to learn more about our flexible data model.

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