Data Modernization with MongoDB and Google Cloud
As an IT leader or architect, you may discover that your software architecture is encountering performance issues. You may be considering moving your datastore from a mainframe or relational database (RDBMS) to a more modern database to take advantage of advanced analytics, scale at a faster rate, and cut costs. This whitepaper helps you explore the decision to migrate, covering the following topics: Why modernize your database? Key differences between RDBMS and MongoDB Atlas on Google Cloud Next Steps: The Path to Migration Define and analyze our model Design your application Implement the schema Validate the results Optimize the Cloud Key resources and personalized help Upon submitting the form, your download should start in a few seconds.
Working With Sensitive Data While Keeping It Secure: A Guide to Data Masking
Data masking is a well-established approach to protecting sensitive data in a database while still allowing the data to be usable. By subtly obscuring your data, either temporarily or permanently, data masking allows your engineering teams to use sensitive data while keeping it confidential, secure, and safe. Data masking can also make it easier to comply with regulations such as GDPR and HIPAA. MongoDB supports data masking through the core feature of an aggregation pipeline. In this paper, we explore: How to determine which data should be masked Construction of the aggregation pipeline How to safely expose masked data Additional resources about data masking Download the paper by filling out the form!
The 5 Phases of Banking Modernization
Accelerate your digital transformation while minimizing risk If banks are eager to modernize, and their customers are demanding modern banking experiences, what’s taking banks so long to move away from the legacy systems that are restricting their ability to innovate? And why do so many legacy modernization efforts fall short? In this white paper, we’ll answer those questions and provide a path forward using an iterative approach to banking modernization. Our five-phase approach enables banks to see rapid improvements in a relatively short time while preserving the legacy components for as long as they’re needed to keep the business running. Download this white paper to gain a detailed understanding of the following: The differences between application-driven modernization, data-driven modernization, and a blended approach (iterative modernization) -How to create an operational data layer (ODL) to act as a bridge between the legacy system and the new architecture -How to rank data sources and applications to create a blueprint for modernizing We hope you enjoy our white paper, if you would like to learn more, take a look at our MongoDB for Financial Services page.
MongoDB 5.0: Guide to What’s New
Download MongoDB 5.0 is the latest generation of the database most wanted by developers. The new 5.0 release makes it even easier for you to support a broader range of workloads, introduces new ways of future proofing your applications, and further enhances privacy and security. Key MongoDB 5.0 highlights include: Native time series collections, clustered indexing, and window functions make it easier, faster, and lower cost to build and run applications like IoT and financial analytics, and to enrich your enterprise data with time series measurements. Live Resharding allows you to change the shard key for your collections on-demand as your workloads grow and evolve – with no database downtime or complex migrations. The Versioned API future-proofs your applications. Starting with MongoDB 5.0, you can upgrade to the latest MongoDB releases without the risk of introducing backward-breaking changes that require application-side rework. MongoDB’s unique Client-Side Field Level Encryption now extends some of the industry’s strongest data privacy controls to multi-cloud databases. Download the white paper to learn more about these and all of the new capabilities and improvements in MongoDB 5.0
Top 7 Considerations When Evaluating NoSQL Databases
Working with data is a core function of software development. When organizations struggle with demands to accelerate release cycles, extract insights from data, and adopt distributed cloud-based architectures, it’s often because they’re being held back by rigid relational databases. The solution is to adopt more flexible non-relational data systems, also known as NoSQL databases. There are multiple types of NoSQL databases to consider, but which one is right for your environment? In this white paper, we’ll explore the differences between the most common non-relational databases: graph, key-value, wide-column, and documents. Download the white paper for detailed coverage of the following: Differences between each of the data and query models used by the most common NoSQL databases Consistency and transactional guarantees for each type of database An explanation of how to work with databases through idiomatic drivers, RESTful APIs, and SQL-like APIs Visualization and analytics capabilities Data models for mobile applications The benefits of looking beyond the database to leverage an application data platform The significance of commercial support, community strength, and deployment freedom
The Decision Maker's Guide to CSP Billing Modernization
Download the white paper today to go from legacy to leader with modern architecture and data management approaches. Billing is an increasingly complex and vital part of the underlying business of communication service providers (CSPs). From operational workloads to customer insights, billing is simultaneously a core business process and a central tenet of the end-customer experience. Both business and customer experience functions share a common trait: They rely on a complete and accurate accounting of the underlying customer base. Collating this customer information, which is crucial for smooth operation and making informed business decisions, is far from trivial. This is largely due to the unique internal systems and data architectures that span across the tens or sometimes hundreds of internal business units at a given CSP. CSPs also have many different product offerings, often under completely different divisions, with each using a different system. In addition, consolidation in the market has resulted in many mergers and acquisitions, with each business bringing its own systems and customers to be integrated. This has driven many large CSPs to begin modernizing and rationalizing their billing functions to embrace modern architectures and data management approaches. When done successfully, this can yield significant improvements in customer experience while at the same time reducing costs — critical in an increasingly competitive marketplace with compressed margins and rising customer expectations.
Expectation Versus Reality For Payments Data Monetisation
2021 Payments Analyst Report: The Time is Now For Payments Data Monetisation A March 2021 global survey conducted by Celent, the leading research and advisory firm focused on technology for financial institutions globally, in partnership with MongoDB and Icon Solutions, shows what corporate clients want from their data-led services, and how companies plan to monetize payment data and support compliance with ISO 20022. At the core of this are two global surveys of senior executives, which in combination provide an in-depth view over both the demand and supply ends of the value chain. Interviews with treasurers and CFOs at 217 corporates has identified common business challenges, demand for new services and – crucially – willingness to pay for service enhancements In tandem, a survey of 168 senior bank executives has given us a unique understanding of how banks plan to address these growing customer needs Research highlights Investment in payments data monetisation is growing with 38% of banks reporting that supporting payments data monetisation initiatives is a clear objective of their payment infrastructure investments Corporates are willing to pay for many value-adding services with 79% of banks believing that demand among corporate clients for data-led services is increasing The time to invest in payments data monetization is now with 32% of corporates wanting greater assistance from their bank partners around ISO20022 and 74% of banks seeing ISO20022 migration as an investment opportunity in new data-led services 77% of corporates that value analytics-driven tools to support their decision making would pay to access this functionality, The most sought-after payment data services by corporate clients were consolidated real-time data from multiple banks in a single dashboard (38%), real-time cash forecasting (37%) and better security and fraud protection (36%) Corporates are always looking for the best service with 69% saying they would consider moving business to providers that can bring greater operational efficiencies Download the report to find out how you can leverage your payments data to open up greater opportunities. You can also watch a panel discussion hosted by Fintech Finance discussing the results. By filling in this form you are agreeing to MongoDB sharing your details with Icon Solutions who participated in this report.
The Foundations of Sustainable Speed: Four Strategies to Accelerate Innovation
The Crucial Role of the Modern Data Platform In an economy increasingly defined by digital experiences, success depends on speed — on how quickly teams can build, test, learn from, and adapt new software applications and services. Yet with speed comes risk — a long-standing truth about technical development. When teams are moving at full speed, existing risks are heightened and new ones are introduced. And the quest for speed often demands more-modern technologies and different ways of working, underpinned by new methodologies, skills, organizational constructs, and application architectures. In this white paper, we explore: How a data platform can help accelerate development while mitigating risks The role of your organization’s culture in moving quickly Four areas crucial to moving at sustainable speed: Multi-cloud agility, innovation velocity, predictability, and privacy & compliance Download now.
Take Your Data From Fragmentation to Verification with MongoDB Atlas’ Single View
In today's digital economy, data is critical to every organization. To thrive, organizations must derive key strategic insights from data in order to inform decision-making, adapt to change, respond to breaking events in real time, and more. However, because companies are broken down into smaller departments and teams, data collection and management generally is not centralized — and it might not even be standardized. Various teams tend to use different platforms and procedures to collate, search, sort, and analyze data. Needless to say, navigating this hodgepodge of systems can be confusing. As a result, organizations need a single view into all their data. Download this ebook to learn: The four challenges to customer identification How one company implemented single view to fulfill two key requirements: scalability and security How to verify and deploy customer data with single-linkage via Stitch, a widely-used, extract-transform-load (ETL) tool Why use serverless for single view And more! Download the ebook.