MongoDB’s Partner Presales Team: Modernizing in a Cloud Era
Hear from Prasad Pillalamarri , Director of Worldwide Partner Presales, to learn more about MongoDB’s Partner Presales team and how they’re enabling partners to solve customer pain points using MongoDB. In February 2017, I changed my career by making the move to MongoDB as a Principal Architect after being Practice Director at a large system integrator. Prior to that, I worked as an Enterprise Architect for a database company as well as a Lead Developer for a SaaS based telco product. While I experienced rapid career growth prior to joining MongoDB, MongoDB enabled me to take my career to extraordinary levels while making an impact on the organization. When I first made the move to MongoDB, I was responsible for supporting all of our global system integrators. One year later, I incubated the Presales team to support Global System Integrator (GSI), Independent Software Vendor (ISV), and Cloud Partners. In 2020, I had the chance to build the Partner Presales support team for the Americas and Europe while also helping the boutique system integrators build tools and accelerators on the MongoDB cloud data platform. Today, I run all of Worldwide Partner Presales at MongoDB. This blog post provides an overview of Partner Presales at MongoDB, along with some insights into Partner Presales for companies in the era of open source and cloud, especially as many companies are turning into software companies. What is Partner Presales? The Partner Presales team at MongoDB not only focuses on lead qualification and pipeline generation but also helps partners with building solutions, production checklists, and production life cycles. Through the years, my team of Partner Presales Solution Architects has been part of the Modernization Program at MongoDB. This program helps System Integrators , Cloud , and Tech partners to build frameworks, solutions, and accelerators that move data workloads and applications from legacy relational and mainframe databases to the MongoDB data platform. The team has worked with Cloud and ISV Partners to build key integrations for MongoDB Atlas with cloud native technologies. My team has also designed the widely accepted certification on Modernization ( SI Architect certification ) where we help system integrators train consultants who can work with customers globally on data center exits and cloud modernization initiatives. Modernizing for a cloud landscape Traditionally, database technologies and technology products are led by a large practice or a centralized architecture team at customer locations and partner organizations. However, with fast-scale DevOps and Cloud adoption, technology and product selection is becoming a hybrid model of centralized team inputs and account level or business team decisions. Partner Presales at MongoDB observed this pivotal change and pioneered working with practice leaders (of application modernization, global infrastructure, data & analytics, internet of things, digital & mobile practice teams), dedicated cloud practitioners, and account level architects. With our help, they’re able to modernize to MongoDB Atlas, our cloud data platform, to build frameworks for data center exit, develop solutions that are focused on vertical and horizontal cases for change, run proof of concepts for production use cases, and document proof points or win wires to present to the customers. It is also becoming imperative for technology product partner presales teams to work closely with presales specialists across cloud service providers. My team triangulates with cloud service providers with whom we present cloud integrations to system integrators and identify and discover use cases where MongoDB would be best fit to resolve the business pain points. How does Partner Presales work with other MongoDB teams? The Partner Presales team at MongoDB also constantly interfaces with Professional Services, Product Management, Marketing, and Industry Solutions teams. We run dedicated sessions with Product Management to review, certify, and validate requirements around cloud integrations and migration solutions built by partners. We collaborate with Partners to design, code, and execute the product integration projects. The MongoDB Professional Services team helps us certify product solution implementations built by partners and validate the relevancy of various components according to customer demand. We bring these solutions to the larger field presales team through our monthly presales newsletter. We also host Partner Presales office hours, where we collect feedback from the field and also identify accounts where partner solutions are the right fit to accelerate deals. The Partner team and the partner ecosystem helps our sellers and sales leaders achieve their sales numbers. MongoDB Presales Solution Architects who support the partner business are some of the best in the industry and face unique challenges. The role is multifaceted, constantly evolving, and must have in-depth technical knowledge, communication skills, sales skills, product management, project management, and architecture design skills. MongoDB's Partner Presales team There are four groups of Partner Presales Solutions Architects at MongoDB: Americas and EMEA in the field, Partner Solutions, and ISV Partner Presales. We work remotely as we stay close to the partners to help them take MongoDB into production. The team takes pride in building world class solutions and go-to-market strategies with partners. Field Partner Presales Solutions Architects bring in great feedback on what vertical-based use cases (payment modernization, trade settlement platforms, ecommerce modernization, low latency product catalogs, healthcare interoperability, single view of claims, gaming) and horizontal cases for changes (mainframe modernization, legacy modernization, single view, microservices, real-time analytics) are relevant in the field. We constantly review these use cases and the partner solutions to identify industry grade solutions and modernization frameworks. Like the existing team, new hires get a chance to work across these areas and also interchange roles at the right time. This helps with mastering both soft skills and technical skills. Hear from the Technical Directors on the team Paresh Saraf , Technical Director, Partner Presales, Global Partner Solutions I was the second member of the Partner Presales team at MongoDB when I joined in 2018. I began supporting Global System Integrator partners. I come from a core development background working with core tech companies, so I was intrigued with building solutions along with partners that can help businesses rapidly recognize the value of moving to MongoDB. This enabled me to take on additional roles supporting cloud and tech partners. I have acted as a Solutions Architect, Presales Engineer, Developer, Product Manager and more. Never in my career have I been in such a dynamic role. I have days where I am working with large customers to help them migrate from legacy landscape to MongoDB using our partner solutions. Some days, I work with tech and cloud partner engineering and product teams to add new product capabilities to better support MongoDB. I also write blogs, come up with tutorial videos to evangelize the products we have built, help partners understand the power of MongoDB Atlas, and much more. We started building a specialized team which we call "Partner Solutions" in the last couple of years. Right now I have a couple of members supporting Global, Medium, and Boutique SI partners. These team members have immense experience working as part of large system integrators building great technology solutions for customers. For instance, we have a dedicated person from a strong product background who works with technology partners. We will also be adding a highly experienced cloud expert who has worked with large enterprises on cloud migrations and a rockstar mainframe modernization architect who can build programs in this area. Our vision is to build a team of folks who are specialized in key areas aligning to our strategic initiatives. We are on the verge of building a world class Partner Solutions team! Geoff Bernard , Technical Director, Partner Presales, Americas On the Americas Field Presales part of the team, we work to identify places where technical solutions make sense for our partners and us to co-present solutions to customers. What this means is that we have the interesting challenge of identifying common architecture patterns which will be meaningful - across system integrators, cloud providers, and ISV/OEM’s. What this also means is we get to be a part of helping our customers truly modernize their stacks, especially as they move to the cloud. We’ve been designing and architecting solutions for decades, and, in this case, we are joining forces with system integrators and cloud service providers and have access to growing a mind-bending network of great people who like to build, too. The fact that MongoDB is the best data platform in the market means clients love working with the product. Partnership is a key ingredient to that success. What we get to accomplish here is just amazing. Frederic Favelin , Principal Solutions Architect, Partner Presales, EMEA The mission of the Field Pre Sales Partner team in EMEA is to create a sales pipeline for our direct sales team by identifying mutually beneficial opportunities with SIs, cloud providers, and ISVs. The Field Partner Solutions Architect’s primary responsibility is to influence partners towards solutions on MongoDB through enablement and evangelism. Our team is split by geographic region and follows our sales team organization. By getting a dedicated focus on our key partners, called “Power of 3”, we need to be an X-factor for the field team. Our Modernization Toolkit helps our customers get a full end-to-end solution implemented, and System Integrators provide both program direction and the team to modernize the applications. They are key actors to help us on the field to deliver successful projects. Vasanth Kumar , Technical Director, Partner Presales, Global ISV programs Independent software vendors are a critical part of our business. It’s very important for us to help our ISVs build a successful and competent product to attract their end customers. I work closely with the ISV in a longer engagement to help them solve, architect, and develop the product by leveraging best practices with MongoDB. I work with initiatives like Design and Win to help ISVs modernise their platform with not just the Database but the complete ecosystem, including: a) How DB objects of the legacy systems will be transformed and remodeled to MongoDB b) Handling the impact on the middleware and application layer c) Data migration and validation d) Switch over strategies e) Helping them with sizing to achieve NFR and proposing best deployment architectures Additionally, under our startup program, I work with startups to make them successful by guiding them to realise their concept into a scalable product. The exponential adoption of fully managed cloud services and the absence of hypervisors like GCP, AWS, and Azure in few regions has opened a lot of growth opportunities for enterprise and medium infrastructure providers to build managed services in their local regions. I work with these cloud providers and help them build the fully managed MongoDB as service. Excerpts from internal stakeholders Alan Chhabra , Executive Vice President, Worldwide Partners “The Partner team at MongoDB is the X-Factor to the sales organization. MongoDB’s partner business spans across system integrators, cloud service providers, tech partners, ISVs, and VARs and our presales team has been one of the key accelerators to our growth.” Oliver Pearce , Vice President, Global Partner Programs “MongoDB’s Partner Pre-sales team never fails to amaze me. We are privileged to have this strong and dedicated team aligned to our partner organization.” Himanshu Srivastava , Director, Worldwide SI Partners “My Experience working with the Partner Presales team has been simply amazing. They work with us hand in hand to lay a strong MongoDB foundation within the GSIs and provide immense help in building champions, joint solutions and capabilities in the partners ecosystem. I look forward to continuing working together with this team to scale up the business with my GSIs. A huge kudos to the entire team.” Haim Ribbi , EMEA Vice President for Partners “Prasad’s team has been instrumental to our success by ensuring our partners design advanced solutions leveraging MongoDB’s key differentiators, by developing strong technical champions, by taking ownership of complex pre-sales campaigns, and even by helping out on delivery for some of the most advanced modernization projects. We are blessed to work alongside this team every day!” The MongoDB Partner Presales team has expanded 100% YoY. I am thankful to our partners, the MongoDB Partners team, and the MongoDB Presales team for providing this opportunity. It is a pleasure managing this high performing team that has such an impact across the company. Interested in a role on MongoDB’s Partner Presales team? We have several open roles on our teams across the globe and would love for you to transform your career with us!
Announcing the MongoDB SI Architect Certification Program for Modernization to the Cloud
The product names referenced in this blog are outdated. Realm Sync refers to what is currently known as Atlas Device Sync. You know the value of modernization as a strategic initiative. It’s not only about refreshing your portfolio of legacy applications with the latest innovations simply for the sake of moving to the cloud. This is much more than just “lift and shift”. True modernization is about realizing your company’s full potential and gaining a competitive edge through development methodologies, architectural patterns and technologies. And by modernizing with MongoDB, you can build new business functionality 3-5x faster, scale to millions of users wherever they are on the planet, and cut costs by 70% or more. If you’re familiar with our technology and our Modernization Program , you already understand the benefits. But do your customers? And, if not, how do you tell them? To help you get started, the MongoDB Partner team has created the MongoDB SI Architect Certification , a full scale kit of assets related to modernization. This free, self-paced certification helps you improve the modernization experience for a variety of customer types as well as drive conversations with customers around data center exit plans and application qualification for assessing cloud data platforms. Consider this certification the next step in deepening your expertise so you can expand your business opportunities and help customers modernize to the cloud. Customized for System Integrator partners, our certification teaches you how to discuss the benefits of modernization with various customers on a cloud journey. It enables architects to have deep discussions on vertical-based stories, migration tools, best practices, and architecture guidelines. System Integrator partners will also learn the fundamental value of offerings, messaging, objection handling, and more. Most importantly, this certification program equips SI architects with the ability to communicate key takeaways to the customer in a language they understand. Program Structure The free SI Architect certification program is self-paced, takes approximately 20 hours, and divided into six key sections, complete with a final certification exam. Introduction allows partners to access the modernization webinars and modernization program offerings. Top use cases focus on how MongoDB is used in business-wide strategic initiatives, like legacy modernization, cloud data strategy, microservices and more vertical based stories. Customer case studies highlight how MongoDB is deployed and leveraged through real-life customer case studies and proof points. University classes allow participants to leverage MongoDB university on-line as well as on-demand courses relevant to the architects. Competitive edge helps architects understand the true value of MongoDB in comparison to the competition. Final certification culminates the program with a "Talk to the experts" session and final certification exam where participants take a real world industry use case or customer project and assess how to migrate to the cloud. Our “Talk to the experts” session provides users with the opportunity to query experts with questions about the final certification exam. It also introduces the messaging around “MongoDB: The Intelligent Operational Data Platform” and details an Atlas TCO and sizing exercise. In addition to these assets, partners also have access to self-paced developer training and database administrator training here . Note: Download the enhanced Modernization Guide to refresh your knowledge on MongoDB modernization Dive Deeper into MongoDB Cloud Technology What’s one key lesson we know for certain? The data management platform you choose is a key factor in successfully migrating legacy applications to the cloud. The MongoDB Cloud section of our Architecture Guide discusses the unique value MongoDB can bring to organizations making the transition to cloud. Note: Download the Architecture Guide to refresh your knowledge on MongoDB Cloud The key components of the MongoDB cloud platform are: At its core is MongoDB , the general purpose operational database for modern applications. Nearly every application needs a fast database that can deliver single digit millisecond response times; and when it comes to speed, MongoDB delivers. With our flexible document data model, transactional guarantees, rich and expressive query language, and native support for both vertical and horizontal scaling, MongoDB can be used for practically any use case, reducing the need for specialized databases even as your requirements change. With multi-cloud clusters on MongoDB Atlas , customers can realize the benefits of a multi-cloud strategy with true data portability and a simplified management experience. Multi-cloud clusters provide the best-in-class technology across multiple clouds in parallel, migrate workloads across cloud providers seamlessly, and improve high availability with cross-cloud redundancy. Realm Mobile Database extends this data foundation to the edge. Realm is a lightweight database embedded on the client side. Realm helps solve the unique challenges of building for mobile, making it simple to store data on-device while also enabling data access when offline. Realm Sync is seamlessly integrated and keeps data up-to-date across devices and users by automatically syncing data between the client and a backend Atlas cluster. Ready to boost your knowledge and expertise? The Modernization Guide, Architecture Guide, and SI Architect certification program are waiting for you. Get started today. Start the free MongoDB SI Architect certification program today!
Part 1: The Modernization Journey with Exafluence and MongoDB
Welcome to the first in a series of conversations between Exafluence and MongoDB about how our partnership can use open source tools and the application of data, artificial intelligence/machine learning and neuro-linguistic programming to power your business’s digital transformation. In this installment, MongoDB Senior Partner Solutions Architect Paresh Saraf and Director for WW Partner Presales Prasad Pillalamarri sit down with Exafluence CEO Ravikiran Dharmavaram and exf Insights Co-Founder Richard Robins to discuss how to start the journey to build resilient, agile, and quick-to-market applications. From Prasad Pillalamari: I first met Richard Robins, MD & Co-Founder of exf Insights at Exafluence back in June 2016 at a MongoDB world event. Their approach towards building data-driven applications was fascinating for me. Since then Exafluence has grown by leaps and bounds in the System Integration space and MongoDB has outperformed its peers in the database market. So Paresh and I decided to interview Richard to deep-dive into their perspective on Modernization with MongoDB. Prasad & Paresh: We first met the Exafluence team in 2016. Since then, MongoDB has created the Atlas cloud data platform that now supports multi-cloud clusters and Exafluence has executed multiple projects on mainframe and legacy modernization. Could you share your perspective on the growth aspects and synergies of both companies from a modernization point of view? Richard Robins: Paresh and Prasad, I’m delighted to share our views with you. We’ve always focused on what happens after you successfully offload read traffic from mainframes and legacy RDBMS to the cloud. That’s digital transformation and legacy app modernization. Early on, Exafluence made a bet that if the development community embraces something we should, too. That’s how we locked in on MongoDB when we formed our company. Having earned our stripes in the legacy data world, we knew that getting clients to MongoDB would mean mining the often poorly documented IP contained in the legacy code. That code is often where long-retired subject matter expert (SME) knowledge resides. To capture it, we built tools to scan COBOL/DB2 and stored procedures to reverse engineer the current state. This helps us move clients to a modern cloud native application, and it's an effective way to merge, migrate, and retire the legacy data stores all of our clients contend with. Once we’d mined the IP with those tools we needed to provide forward-engineered transformation rules to reach the new MongoDB Atlas endpoint. Using a metadata driven approach, we built a rules catalog that included a full audit and REST API to keep data governance programs and catalogs up to date as an additional benefit of our modernization efforts. We’ve curated these tools as exf Insights , and we bring them to each modernization project. Essentially, we applied NLP, ML, and AI to data transformation to improve modernization analysts’ efficiency, and added a low-to-no code transformation rule builder, complete with version control and rollback capabilities. All this has resulted in our clients getting world-class, resilient capabilities at a lower cost in less time. We’re delighted to say that our modernization projects have been successful by following simple tenets — to embrace what the development community embraces and to offer as much help as possible — embodied in the accelerator tools we’ve built. That’s why we are so confident we'll continue our rapid growth. P&P: How do you think re-architecting legacy applications with MongoDB as the core data layer will add value to your business? RR: We believe that MongoDB Atlas will continue to be the developers go-to document database, and that we’ll see our business grow 200-300% over the next three years. With MongoDB Atlas and Realm we can provide clients with resilient, agile applications that scale, are easily upgraded, and are able to run on any cloud as well as the popular mobile iOS and Android devices. Digital transformation is key to remaining competitive and being agile going forward. With MongoDB Atlas, we can give our clients the same capabilities we all take for granted on our mobile apps: they’re resilient, easy to upgrade, usually real-time, scale via Kubernetes clusters, and can be rolled back quickly if necessary. Most importantly, they save our clients money and can be automatically deployed. P&P: At a high level, how will Exafluence help customers take this journey? RR: We’re unusual as a services firm in that we spend 20% of gross revenue on R&D, so our platform and approach are proven. Thus, relatively small teams for our healthcare, financial services, and industrial 4.0 clients can leverage our approach, platform, and tools to deliver advanced analytical systems that combine structured and unstructured data across multiple domains. We built our exf Insights accelerator platform using MongoDB and designed it for interoperability, too. On projects we often encounter legacy ETL and messaging tools. To show how easy it is, we recently integrated exf Insights with SAP HANA and the SAP Data Intelligence platform. Further, we can publish JSON code blocks and provide Python code for integration into ETL platforms like Informatica and Talend. Our approach is to reverse engineer by mining IP from legacy data estates and then forward engineer the target data estate, using these steps and tools: Reverse Engineer Extract stored procedures, business logic, and technical data from the legacy estate and load it into our platform. Use our AI/ML/NLP algorithms to analyse business transformation logic and metadata, with outliers identified for cleansing. Provide DB scans to assess legacy data quality to cleanse and correct outliers, and provide tools to compare DB level data reconciliations. Forward Engineer To produce a clean set of metadata and business transformation logic, and baseline with version control, we: Extract, transform, and load metadata to the target state. Score metadata via NLP and ML to recommend matches to the Analyst who accepts/rejects or overrides recommendations. Analysts can then add additional transformations which are catalogued. Deploy and load cleansed data to the target state platform so any transformations and gold copies may be built. Automate Data Governance via Rest API, Code Block generation (Python/JSON) to provide enterprise catalogs with the latest transforms. P&P: What are your keys to a successful transformation journey? RR: Over the past several years we’ve identified these elements and observations: Subject matter experts and technologists must work together to provide new solutions. There’s a shortage of skilled technologists able to write, deploy, and securely manage next generation solutions. Using accelerators and transferring skills are vital to mitigating the skills shortage. Existing IP that’s buried in legacy applications must be understood and mined in order for a modernization program to succeed. A data-driven approach that combines reverse and forward engineering speeds migration and also provides new data governance and data science catalog capabilities. The building, caring, and feeding of new, open source-enabled applications is markedly different from the way monolithic legacy applications were built. The document model enables analytics and interoperability. Cybersecurity and data consumption patterns must be articulated and be part of the process, not afterthoughts. Even with aggressive transformation plans, new technology must co-exist with legacy applications for some time; progress works best if it’s not a big bang. Success requires business and technology to learn new ways to provide, acquire, and build agile solutions. P&P: Can you talk about solutions you have which will accelerate the modernization journey for the customers? RR: exf Insights helps our clients visualize what’s possible with extensive, pre-built, modular solutions for health care, financial services, and industrial 4.0. They show the power of MongoDB Atlas and also the power of speed layers using Spark and Confluent Kafka. These solutions are readily adaptable to client requirements and reduce the risk and time required to provide secure, production-ready applications. Source data loading. Analyze and integrate raw structured and unstructured data, including support for reference and transactional data. Metadata scan. Match data using AI/NLP, scoring results and providing side-by-side comparison. Source alignment. Use ML to check underlying data and score results for analysts, and leverage that learning to accelerate future changes. Codeless transformation. Empower data SMEs to build the logic with a multiple-sources-to-target approach and transform rules which support code value lookups and complex Boolean logic. Includes versioned gold copies of any data type (e.g., reference, transaction, client, product, etc.). Deployment. Deploy for scheduled or event-driven repeatability and dynamically populate Snowflake or other repositories. Generates code blocks that are usable in your estate or REST API. We used the same 5-step workflow data scientists use when we enabled business analysts to accelerate the retirement of internal data stores to build and deploy the COVID-19 self-checking app in three weeks, including active directory integration and downloadable apps. We will be offering a Realm COVID-19 screening app on web, Android, and IOS to the entire MongoDB Atlas community in addition to our own clients. The accelerator integrates key data governance tools, including exf Insights repository management of all sources and targets with versioned lineage; as-built transformation rules for internal and client implementations; and a business glossary integrated into metadata repositories. P&P: Usually one of the key challenges for businesses is data being locked in silos. RR: We couldn’t agree more. Our data modernization projects routinely integrate with source transactional systems that were never built to work together. We provide scanning tools to understand disparate data as well as ways to ingest, align, and stitch them together. Using health care as an example, exf Insights provides a comprehensive analytical capability, able to integrate data from hospitals, claims, pharmaceutical companies, patients, and providers. Some of this is NonSQL, such as radiological images; for pharma companies we provide capabilities to support clinical research organizations (CROs) via a follow-the-molecule approach. Of course, we also have to work with and subscribe to Centers for Medicare & Medicaid Services (CMS) guidelines. Our data migration focuses on collecting the IP behind the data and making the source, logic, and any transformations rules available to our clients. In financial services, it’s critical to understand source and targets. No matter how data is accessed (federated or direct store), with Spark and Kafka we can talk to just about any data repository. P&P: Once we discover the data to be migrated, we need to model the data according to MongoDB’s data model paradigm. That requires multiple transformations before data is loaded to MongoDB. Can you explain more about how your accelerators help here? RR: By understanding data consumption and then looking at existing data structures, we seek to simplify and then apply the capabilities of MongoDB’s document model. It’s not unlike what a data architect would do in the relational world, but with MongoDB Atlas it’s easier. We ourselves use MongoDB for our exf Insights platform to align, transform, and make data ready for consumption in new applications. We’re able to provide full rules lineage and audit trail, and even support rollback. For the real-time speed layer we use Spark and Kafka as well. This data-driven modernization approach also turns data governance into an active consumer of the rules catalog, so exf Insights works well for regulated industries. P&P: It’s great that we have data migrated now. Consider a scenario where it’s a mainframe application and we have lots of COBOL code in there. It has to be moved to a new programming language like Python, with a change in the data access layer to point to MongoDB. Do you have accelerators which can facilitate the application migration? If so, how? RR: Yes, we do have accelerators that understand the COBOL syntax to create JSON and ultimately Java, which speeds modernization. We also found we had to reverse engineer stored procedures as part of our client engagements for Exadata migration. P&P: Once we migrate the data from legacy databases to MongoDB, validation is the key step. As this is a heterogeneous migration it can be challenging. How can Exafluence add value here? RR: We’ve built custom accelerators that migrate data from the RDBMS world to MongoDB, and offer data comparisons as clients go from development to testing to production, documenting all data transformations along the way. P&P: Now that we’ve talked about all your tools which can help in the modernization journey, can you tell us about how you already helped your customers to achieve this? RR: Certainly. We’ve already outlined how we’ve created solution starters for modernization, with sample solutions as accelerators. But that’s not enough; our key tenet for successful modernization projects is pairing SMEs and developers. That’s what enables our joint client and Exafluence teams to understand the business, key regulations, and technical standards. Our data-driven focus lets us understand the data regardless of industry vertical. We’ve successfully used exf Insights now in financial services, healthcare, and industry 4.0. Whether it’s understanding the nuances of financial instruments and data sources for reference and transactional data, or Medical Device IoT sensors in healthcare, or shop floor IoT and PLC data for predictive analytics and digital twin modeling, a data-driven approach reduces modernization risks and costs. Below are some of the possibilities this data-driven approach has delivered for our healthcare clients using MongoDB Atlas. By aggregating provider, membership, claims, pharma, and EHR clinical data, we offer robust reporting that: Transforms health care data from its raw form into actionable insights that improve member care quality, health outcomes, and satisfaction Provides FHIR support Surfaces trends and patterns in claims, membership, and provider data Lets users access, visualize, and analyze data from different sources Tracks provider performance and identifies operational inefficiencies P&P: Thank you, Richard! Keep an eye out for upcoming conversations in our series with Exafluence, where we'll be talking about agility in infrastructure and data as well as interoperability. MongoDB and Modernization To learn more about MongoDB's overall Modernization strategy, read here .