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MongoDB – Build, Adapt, Reduce, Improve
Sparks Ignite, Inc. is a technology consulting firm focused on building outcomes with MongoDB for mid-sized enterprises across various sectors. The document outlines their approach to implementing a proof of concept, including phases for evaluation and tips for software solution assessment. It also discusses stages of adoption of MongoDB, from initial projects to establishing a center of excellence and a MongoDB-first policy.
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MongoDB – Build, Adapt, Reduce, Improve
- 1. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. Sparks Ignite, Inc. MongoDB Build, Adapt, Reduce, Improve
- 2. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve Enabling the Mid-Sized Enterprise ● Management ● Operations ● Architecture
- 3. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve Enabling the Mid-Sized Enterprise ● Management ● Introduction ● Implement a Proof of Concept ● Measure Results ● Stages of Adoption
- 4. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve Sparks Ignite, Inc. ● Data Integration and Analytics ● Data Management and Governance ● Enterprise Storage and Compute ● Consulting Services Offerings Introduction
- 5. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve Introduction
- 6. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve ● Financial Services ● Government ● Retail ● High Tech ● Media and Entertainment ● Healthcare ● Telecommuncations Introduction
- 7. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve ● Single View ● Internet of Things ● Mobile ● Real-Time Analytics ● Personalization ● Catalog ● Content Management Introduction
- 8. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve Introduction
- 9. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve Introduction
- 10. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve Problem The Apollo Group (parent company of the University of Phoenix) needed a cloud-based learning management platform for its 350K globa students. Challenges with current Oracle platform ● Scalability ● Technology fit Potential choices ● Expand existing Oracle platform ● Try MongoDB Implement a POC
- 11. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve ● Resiliency ● Stability ● Adaptability of Data Model ● Performance ● Configuration Flexibility ● Administrator Functionality ● Training ● Data Migration and Movement ● Conformance with Standards ● Quality & Availability of Support Implement a POC
- 12. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve ● Phase 1 2 weeks Cross-function team of stakeholders define go and objectives Gather current state metrics ● Phase 2 2 weeks Develop same use case application on small MongoDB server w/ MongoDB data model ● Phase 3 2 weeks Stand up 5-node MongoDB deployment and develop runbook ● Phase 4 2 weeks Performance and quality assurance tests to validate goals and objectives Implement a POC
- 13. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve ● Resiliency ● Stability ● Adaptability of Data Model ● Performance ● Configuration Flexibility ● Administrator Functionality ● Training ● Data Migration and Movement ● Conformance with Standards ● Quality & Availability of Support Implement a POC
- 14. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve Tips for Evaluating a Software Solution ● Identify and work closely with all relevant stakeholders. ● Clearly define the problem, your goals, and the areas on which you want to focus. ● Follow a rigorous, template-based evaluation process to ensure that you cover all bases across all POCs. Measure Results
- 15. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve Tips for Evaluating a Software Solution ● Divide the evaluation into short, discrete phases. ● Identify a simple but relevant use case to ensure general understanding of the technical findings. ● Act fast and fail quickly to avoid spending time and resources on a solution that will fail in the long run. Measure Results
- 16. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve Tips for Evaluating a Software Solution ● Leverage formal training, seminars, and targeted questions to vendors. ● Enroll users not involved in the project in training to assess accurately how long it will take to train novice users. ● Evaluate the ease - or difficulty - of training users. Measure Results
- 17. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve ● MongoDB ● Build ● Adapt ● Reduce ● Improve Stages of Adoption
- 18. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve Stages of Adoption ● First MongoDB Project ● Multiple MongoDB Projects ● MongoDB Center of Excellence ● MongoDB-First Policy Stages of Adoption
- 19. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve First MongoDB Project ● Identify target team members in development, operations and business teams. ● Training for Developers and DBAs. ● Consulting on schema design, architecture review and introductory best practices Stages of Adoption
- 20. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve Multiple MongoDB Projects Share knowledge within the organization, through internal presentations and hackathons. ● Begin to establish preliminary best practices, such as preferred hardware configurations and how to integrate with existing systems. Stages of Adoption
- 21. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve MongoDB Center of Excellence ● Identify a group across different functional areas to document best practices, facilitate knowledge sharing and help teams understand when to use MongoDB. ● Facilitate development of MongoDB Platform-as-a-Service (PaaS). Stages of Adoption
- 22. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve MongoDB-First Policy ● Disseminate information on the CoE and best practices throughout the organization. ● Create process for defining exception apps that can and should use other databases. ● Ensure that teams have the resources they need to execute projects successfully ● MongoDB-First Policy Stages of Adoption
- 23. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. MongoDB – Build, Adapt, Reduce, Improve Questions? david@sparksignite.net
- 24. Sparks Ignite, Inc. Atechnology consulting firm. We build outcomes. Modern Data Architecture Questions?
Editor's Notes
- #5 We research, evaluate, design, build & deploy innovative information technology outcomes. DATA INTEGRATION & ANALYTICS Embedded Analytics, IoT Analytics, Native Hadoop Integration, Mobile BI, Customer 360. DATA MANAGEMENT & GOVERNANCE Modern Day Enterprise BU & DR, Compliance, Cloud & EndPoint Protection, Active Archive CONSULTING SERVICES OFFERINGS Assessments, Software Development, Design for Storage, Cloudy Apps, Data Integration & Installs
- #6 I bring twenty years of development experience to today's modern data environments. I am certified in and work extensively with Hadoop, HBase, Cassandra and MongoDB.. I am working with and contributing to the new Big Data governance initiative platform applications like Falcon and Ranger and Atlas.
- #7 Financial Services MetLife single view of 100M customers across 70 systems in 90 days. 8 yrs of prior failure Citigroup realtime event subscription RMS cloud-based risk analytics w/ Tbs of data Retail Ebay stores metadata for every single item Gap built their supply chain Government Chicago geospatial realtime analytics from30+ dept Natioanal Archive stores 1000 yrs worth of docs Healthcare AstraZeneca, Genetech and Medtronic do research
- #8 Single View Real-time views of your business that integrate all of your siloed data. Internet of Things 40 billion sensors. $19 trillion in revenue. You’re gonna need a bigger database. Mobile Ship killer mobile apps. Scale to millions of users. Do it in weeks, not months. Real-Time Analytics Lightweight, low-latency analytics. Integrated into your operational database. In real time. Personalization Greet your customers like old friends so they’ll treat you like one, too. Catalog Catalogs change constantly. That’s an RDBMS nightmare. But it’s easy with MongoDB. Content Management Store and serve any type of content, build any feature, serve it any way you like. From a single database.
- #9 Now let me introduce the audience …. Sorry
- #10 Typically at a MUG, we have 1. Build New Applications That Were Not Possible Before 2. Adapt And Develop Competitive Advantages 3. Improve Customer Satisfaction 4. Reduce Costs For the purpose of this meeting, we will assume that everyone here has a problem that they don't know how to fix but need to fix it anyway.
- #11 Single View Real-time views of your business that integrate all of your siloed data. Internet of Things 40 billion sensors. $19 trillion in revenue. You’re gonna need a bigger database. Mobile Ship killer mobile apps. Scale to millions of users. Do it in weeks, not months. Real-Time Analytics Lightweight, low-latency analytics. Integrated into your operational database. In real time. Personalization Greet your customers like old friends so they’ll treat you like one, too. Catalog Catalogs change constantly. That’s an RDBMS nightmare. But it’s easy with MongoDB. Content Management Store and serve any type of content, build any feature, serve it any way you like. From a single database.
- #12 robust enough to be a critical component? If failures occur, how does MongoDB respond? high-quality without unexpected failures? data model changes quickly? How do changes impact the applications and services that consume it? perform enough to serve a massive app and user base? hybrid deployment with both cloud-based and on-premise ? How long does it take to install and deploy ? How difficult is it to administer?backups, adding and removing indexes, and changing out hardware What current and ongoing training ops & developers How should we migrate data.load data? Retrieve well Is MongoDB an industry de-facto standard? If not, is it well positioned to become one? Fit to our culture? if something goes wrong , can we get qualified, top-notchassistance - even in the middle of the night or on a holiday?
- #14 can survive multiple-node and site-wide failures. The replica set feature works well and is easy to use. stable and easy to integrate one of biggest strengths over relational databases as well as or even better than the Oracle system. Amazon EC2: cloud-based, on-premise, & hybrid first configuration within hours. Chef/Puppet spin up dozens of nodes in minutes two-day training from the MongoDB University developers proficient in MongoDB with just a half day populated by exporting from Oracle using Python met criteria for future inclusion on the standards list enterprise-grade support, large community
- #15 Having a clearly defined entry and exit criteria is the difference between an evaluation and a science project. Do not build something you assume your customers will want. Ask them. I outlined Phases 1 – 4 but sometimes there needs to be a Phase 0 which is to just put together a process to gather and evaluate meaningful information
- #16 Time-boxing is mandatory on POCs as are very limited scopes.
- #17 If you are attempting to bring on something new, evaluate your organization's ability to learn. This refers not just to your team, but operations and business users as well.
- #18 Using MongoDB as a data store sets you up for a successful ecosystem Build – The codebase, deployment and management are easily prototyped and scaled Changing the schema does not break the application. That's a new way of thinking Reduce cost at the top and bottom. Reduce overhead. Developer friction. Operations time. Project time. Refactor without rebuilding with schema on read rather than schema on write for continuous improvement
- #24 We research, evaluate, design, build & deploy innovative information technology outcomes. DATA INTEGRATION & ANALYTICS Embedded Analytics, IoT Analytics, Native Hadoop Integration, Mobile BI, Customer 360. DATA MANAGEMENT & GOVERNANCE Modern Day Enterprise BU & DR, Compliance, Cloud & EndPoint Protection, Active Archive CONSULTING SERVICES OFFERINGS Assessments, Software Development, Design for Storage, Cloudy Apps, Data Integration & Installs