The document outlines an agenda for a MongoDB event in Frankfurt on November 30th 2017. The agenda includes introductions, implementing a cloud-based data strategy, best practices for migrating from RDBMS to MongoDB, how MongoDB can provide support, and a Q&A session. It also lists the speakers which include representatives from MongoDB and Bosch Software Innovations.
MongoDB 3.6 helps you *move at the speed of your data* - turning developers, operations teams, and analysts into a growth engine for the business. It enables new apps to be delivered to market faster, running reliably and securely at scale, and unlocking insights and intelligence in real time. Learn more: https://www.mongodb.com/mongodb-3.6
Presented by Rob Walters, Solutions Architect, MongoDB, at MongoDB Evenings New England 2017.
MongoDB 3.6 is the latest version of the world's most popular document database. In this session we will cover the key themes of the release including speed to develop, speed to production and speed to insight. Learn about the key features that support these themes and how you can start leveraging them today!
Overcoming Today's Data Challenges with MongoDBMongoDB
The document outlines an agenda for an event on overcoming data challenges with MongoDB. The event will feature speakers from MongoDB and Bosch discussing how the world has changed since relational databases were invented, how to radically transform IT environments with MongoDB, MongoDB and blockchain, and MongoDB for multiple use cases. The agenda includes presentations on these topics as well as a Q&A session and conclusion.
Webinar: Simplifying the Database Experience with MongoDB AtlasMongoDB
MongoDB Atlas is our database as a service for MongoDB. In this webinar you’ll learn how it provides all of the features of MongoDB, without all of the operational heavy lifting, and all through a pay-as-you-go model billed on an hourly basis.
Unlocking Operational Intelligence from the Data LakeMongoDB
The document discusses unlocking operational intelligence from data lakes using MongoDB. It begins by describing how digital transformation is driving changes in data volume, velocity, and variety. It then discusses how MongoDB can help operationalize data lakes by providing real-time access and analytics on data stored in data lakes, while also integrating batch processing capabilities. The document provides an example reference architecture of how MongoDB can be used with a data lake (Hadoop) and stream processing framework (Kafka) to power operational applications and machine learning models with both real-time and batch data and analytics.
Presented by Radu Craioveanu, Director of Software Development, Clinical Systems, Fresenius Medical Care at MongoDB Evenings New England 2017.
resenius is a large healthcare enterprise, specializing in dialysis care. Fresenius' 40,000 clinicians and physicians deliver over 100,000 dialysis treatments per day, across 8 time zones. There is significant pressure to improve treatment outcomes, lower costs, expand the patient coverage, and overall become a Value Based Services provider, sharing the risk with the payers, the insurance companies. This pressures requires Fresenius to adapt, change, and leverage technologies and processes that can enable a rapid transformation to Value Based Care. </br></br>Using technologies and partnerships with players such as MongoDB, Red Hat, and others with a similar, open source innovative approach to progress, Fresenius has been able to implement a healthcare platform that is the foundation onto which the business can transform itself.
MongoDB has enabled Fresenius to achieve high availability of systems across multiple data centers, a data lake concept used for predictive analytics and reporting, enhanced messaging capabilities, fast, effective and distributed archiving, rapid application development via MEAN stacks, and Red Hat Open Shift Docker Container ready-to-use persistence.
MongoDB 3.6 helps you *move at the speed of your data* - turning developers, operations teams, and analysts into a growth engine for the business. It enables new apps to be delivered to market faster, running reliably and securely at scale, and unlocking insights and intelligence in real time. Learn more: https://www.mongodb.com/mongodb-3.6
Presented by Rob Walters, Solutions Architect, MongoDB, at MongoDB Evenings New England 2017.
MongoDB 3.6 is the latest version of the world's most popular document database. In this session we will cover the key themes of the release including speed to develop, speed to production and speed to insight. Learn about the key features that support these themes and how you can start leveraging them today!
Overcoming Today's Data Challenges with MongoDBMongoDB
The document outlines an agenda for an event on overcoming data challenges with MongoDB. The event will feature speakers from MongoDB and Bosch discussing how the world has changed since relational databases were invented, how to radically transform IT environments with MongoDB, MongoDB and blockchain, and MongoDB for multiple use cases. The agenda includes presentations on these topics as well as a Q&A session and conclusion.
Webinar: Simplifying the Database Experience with MongoDB AtlasMongoDB
MongoDB Atlas is our database as a service for MongoDB. In this webinar you’ll learn how it provides all of the features of MongoDB, without all of the operational heavy lifting, and all through a pay-as-you-go model billed on an hourly basis.
Unlocking Operational Intelligence from the Data LakeMongoDB
The document discusses unlocking operational intelligence from data lakes using MongoDB. It begins by describing how digital transformation is driving changes in data volume, velocity, and variety. It then discusses how MongoDB can help operationalize data lakes by providing real-time access and analytics on data stored in data lakes, while also integrating batch processing capabilities. The document provides an example reference architecture of how MongoDB can be used with a data lake (Hadoop) and stream processing framework (Kafka) to power operational applications and machine learning models with both real-time and batch data and analytics.
Presented by Radu Craioveanu, Director of Software Development, Clinical Systems, Fresenius Medical Care at MongoDB Evenings New England 2017.
resenius is a large healthcare enterprise, specializing in dialysis care. Fresenius' 40,000 clinicians and physicians deliver over 100,000 dialysis treatments per day, across 8 time zones. There is significant pressure to improve treatment outcomes, lower costs, expand the patient coverage, and overall become a Value Based Services provider, sharing the risk with the payers, the insurance companies. This pressures requires Fresenius to adapt, change, and leverage technologies and processes that can enable a rapid transformation to Value Based Care. </br></br>Using technologies and partnerships with players such as MongoDB, Red Hat, and others with a similar, open source innovative approach to progress, Fresenius has been able to implement a healthcare platform that is the foundation onto which the business can transform itself.
MongoDB has enabled Fresenius to achieve high availability of systems across multiple data centers, a data lake concept used for predictive analytics and reporting, enhanced messaging capabilities, fast, effective and distributed archiving, rapid application development via MEAN stacks, and Red Hat Open Shift Docker Container ready-to-use persistence.
Presented by Claudius Li, Solutions Architect at MongoDB, at MongoDB Evenings New England 2017.
MongoDB Atlas is the premier database as a service offering. Find out how MongoDB Atlas can help your team to deploy more easily, develop faster and easily manage deployment, maintenance, upgrades and expansions. We will also demonstrate some of the key features and tools that come with MongoDB Atlas.
AWS is an incredibly popular environment for running MongoDB deployments. Today you have many choices about instance type, storage, network config, security, how you configure MongoDB processes, and more. In addition, you now have options when it comes to tooling to help you manage and operate your deployment. In this session, we’ll take a look at several recommendations that can help you get the best performance out of AWS.
Webinar: 10-Step Guide to Creating a Single View of your BusinessMongoDB
Organizations have long seen the value in aggregating data from multiple systems into a single, holistic, real-time representation of a business entity. That entity is often a customer. But the benefits of a single view in enhancing business visibility and operational intelligence can apply equally to other business contexts. Think products, supply chains, industrial machinery, cities, financial asset classes, and many more.
However, for many organizations, delivering a single view to the business has been elusive, impeded by a combination of technology and governance limitations.
MongoDB has been used in many single view projects across enterprises of all sizes and industries. In this session, we will share the best practices we have observed and institutionalized over the years. By attending the webinar, you will learn:
- A repeatable, 10-step methodology to successfully delivering a single view
- The required technology capabilities and tools to accelerate project delivery
- Case studies from customers who have built transformational single view applications on MongoDB.
MongoDB San Francisco 2013: Storing eBay's Media Metadata on MongoDB present...MongoDB
This session will be a case study of eBay’s experience running MongoDB for project Zoom, in which eBay stores all media metadata for the site. This includes references to pictures of every item for sale on eBay. This cluster is eBay's first MongoDB installation on the platform and is a mission critical application. Yuri Finkelstein, an Enterprise Architect on the team, will provide a technical overview of the project and its underlying architecture.
During this presentation, Infusion and MongoDB shared their mainframe optimization experiences and best practices. These have been gained from working with a variety of organizations, including a case study from one of the world’s largest banks. MongoDB and Infusion bring a tested approach that provides a new way of modernizing mainframe applications, while keeping pace with the demand for new digital services.
Agile Software Development is becoming the defacto way of building software these days. More and more enterprises, from large fortune 500 to small shop start-ups, are adopting agile development methodologies. But Agile Software development is more than just a methodology or a practice. It's also a combined set of tools and platforms that today are at our disposal to allows to iterate faster, get-to-market sooner and also fail faster. These set of tools augment our development cycles by a few orders of magnitude and allow developers to be much more productive.
Webinar: An Enterprise Architect’s View of MongoDBMongoDB
The document provides an overview of MongoDB and how it addresses the requirements of modern applications and enterprises. It discusses how traditional databases struggle with new demands around dynamic schemas, large volumes of data, and agile development. MongoDB supports these requirements through features like document data structures, horizontal scaling, and high performance. Case studies demonstrate how MongoDB has helped organizations build real-time views of customer data, virtualize legacy systems, and improve data distribution. The document concludes by discussing best practices for enterprise adoption of MongoDB.
MongoDB and RDBMS: Using Polyglot Persistence at Equifax MongoDB
MongoDB and RDBMS: Using Polyglot Persistence at Equifax. Presented by Michael Lawrence, Pariveda Solutions on behalf of Equifax at MongoDB Evenings Atlanta on September 24, 2015.
MongoDB and Our Journey from Old, Slow and Monolithic to Fast and Agile Micro...MongoDB
Jeremiah Ivan, VP of Engineering, Merrill Corporation
In the span of 12 months Merrill was able to move from a monolithic and hard-to-change architecture to a fast-moving, agile development platform, enabled by the MongoDB database. We’ll talk about the technology, people, and process changes involved in the transformation. We hope that participants in this session will come away with the bits and pieces of a recipe for success that they can apply to their environment.
Redis & MongoDB: Stop Big Data Indigestion Before It StartsMongoDB
<b>MongoDB @ Redis Labs </b>[10:40 am - 11:00 am]<br />Efficiently digesting data in large volumes can prove to be challenging for any database. The challenges are compounded when this influx must be analyzed on the fly, or ""tasted"", to satisfy the sophisticated palates of modern apps. Luckily, there are several proven remedies you can concoct with Redis to help with potential indigestion.
Organisations are building their applications around microservice architectures because of the flexibility, speed of delivery, and maintainability they deliver. In this session, the concepts behind microservices, containers and orchestration was explained and how to use them with MongoDB.
<b>Elevate MongoDB with ODBC/JDBC </b>[4:05 pm - 4:25 pm]<br />Adoption for MongoDB is growing across the enterprise and disrupting existing business intelligence, analytics and data integration infrastructure. Join us to disrupt that disruption using ODBC and JDBC access to MongoDB for instant out-of-box integration with existing infrastructure to elevate and expand your organization’s MongoDB footprint. We'll talk about common challenges and gotchas that shops face when exposing unstructured and semi-structured data using these established data connectivity standards. Existing infrastructure requirements should not dictate developers’ freedom of choice in a database
Webinar: Faster Big Data Analytics with MongoDBMongoDB
Learn how to leverage MongoDB and Big Data technologies to derive rich business insight and build high performance business intelligence platforms. This presentation includes:
- Uncovering Opportunities with Big Data analytics
- Challenges of real-time data processing
- Best practices for performance optimization
- Real world case study
This presentation was given in partnership with CIGNEX Datamatics.
How leading financial services organisations are winning with techMongoDB
Financial services organizations are adopting new technologies like cloud computing, big data, artificial intelligence, blockchain, and Internet of Things to improve business agility, reduce costs, and gain new insights from data. MongoDB is helping in areas like cloud data strategy, blockchain applications, mainframe offloading, and powering Internet of Things applications by providing a flexible, scalable database that can be deployed across on-premises, private cloud, and public cloud environments.
The document discusses MongoDB operations for developers, including its data model, use of replication for high availability, sharding for scalability, and deployment architectures. It also covers MongoDB's philosophy, benefits of its document model, how replica sets provide self-healing and failure recovery, and security features available in MongoDB Enterprise.
MongoDB is a leading database technology that combines the foundations of RDBMS with the innovations of NoSQL, allowing organizations to simultaneously boost productivity and lower TCO.
MongoDB Enterprise Advanced is a finely-tuned package of advanced software, enterprise-grade support, and other services designed to accelerate your success with MongoDB in every stage of your app lifecycle, from early development to the scale-out of mission-critical production environments.
With the release of 3.2, MongoDB Enterprise Advanced now includes:
MongoDB Ops Manager 2.0
MongoDB Compass, the MongoDB GUI
MongoDB Connector for Business Intelligence
Encrypted Storage Engine
In-Memory Storage Engine (beta)
Attend this webinar to learn how MongoDB Enterprise Advanced can help you get to market faster and de-risk your mission critical deployments.
The Double win business transformation and in-year ROI and TCO reductionMongoDB
This document discusses how modern information management with flexible data platforms like MongoDB can help businesses transform and drive ROI through cost reduction and increased productivity compared to legacy systems. It provides examples of strategic areas where MongoDB can modernize an organization's full technology stack from data in motion/at rest to apps, compute, storage and networks. Success stories show how MongoDB has helped companies like Barclays reduce costs and complexity while improving resiliency, agility and innovation.
Calculating ROI with Innovative eCommerce PlatformsMongoDB
The document discusses how MongoDB can help companies enable omni-channel retailing and calculate ROI with innovative e-commerce platforms. It describes how MongoDB allows for up-to-date product availability and information across channels in real-time through flexible schemas and horizontal scaling. Case studies are presented showing how companies like Otto Germany were able to build custom e-commerce platforms on MongoDB faster and with more agility and performance than traditional systems. The presentation concludes by encouraging companies to start prototyping omni-channel capabilities using MongoDB.
Webinar: How to Drive Business Value in Financial Services with MongoDBMongoDB
Huge upheaval in the finance industry has led to a major strain on existing IT infrastructure and systems. New finance industry regulation has meant increased volume, velocity and variability of data, so-called Big Data. This coupled with cost pressures from the business has led these institutions to seek alternatives. Top tier institutions like MetLife have turned to MongoDB because of the enormous business value it enables.
In this session, learn where and how you should use MongoDB to get the maximum value including specific case studies such as saving $40M in one project.
The use cases are specific to financial services but the patterns of usage - agility, scale, global distribution - will be applicable across many industries.
- IOOF is an Australian financial services company founded in 1846 that offers products like financial advice, superannuation, investment management, and trustee services.
- It has 235 IT employees across the group working on corporate systems, platform systems, and infrastructure services. Platform systems include multiple vendor-supplied, internally developed, and retail vs employer systems.
- In 2009, IOOF started using Agile development and now releases new features 50-100 times per month through cross-functional teams to address issues of the past like vendor lock-ins, scalability problems, and siloed systems.
1. The document discusses adapting data strategies for the cloud, where time to market has replaced cost as the primary driver of cloud adoption.
2. It outlines key considerations for choosing a cloud data platform, including deployment flexibility, reducing complexity, agility, resiliency, scalability, cost, and security.
3. The document summarizes how MongoDB can provide a flexible cloud data strategy through offerings like MongoDB Atlas that offer deployment flexibility across public, private, and hybrid clouds without vendor lock-in.
Accelerating a Path to Digital With a Cloud Data StrategyMongoDB
The document describes a conference on accelerating a path to digital transformation with a cloud data strategy. It provides an agenda for the conference including speakers on executing a cloud data strategy, customer stories from De Persgroep and Toyota Motor Europe, and a session on landing in the cloud with MongoDB Atlas. The document also provides background on the speakers and their companies.
Presented by Claudius Li, Solutions Architect at MongoDB, at MongoDB Evenings New England 2017.
MongoDB Atlas is the premier database as a service offering. Find out how MongoDB Atlas can help your team to deploy more easily, develop faster and easily manage deployment, maintenance, upgrades and expansions. We will also demonstrate some of the key features and tools that come with MongoDB Atlas.
AWS is an incredibly popular environment for running MongoDB deployments. Today you have many choices about instance type, storage, network config, security, how you configure MongoDB processes, and more. In addition, you now have options when it comes to tooling to help you manage and operate your deployment. In this session, we’ll take a look at several recommendations that can help you get the best performance out of AWS.
Webinar: 10-Step Guide to Creating a Single View of your BusinessMongoDB
Organizations have long seen the value in aggregating data from multiple systems into a single, holistic, real-time representation of a business entity. That entity is often a customer. But the benefits of a single view in enhancing business visibility and operational intelligence can apply equally to other business contexts. Think products, supply chains, industrial machinery, cities, financial asset classes, and many more.
However, for many organizations, delivering a single view to the business has been elusive, impeded by a combination of technology and governance limitations.
MongoDB has been used in many single view projects across enterprises of all sizes and industries. In this session, we will share the best practices we have observed and institutionalized over the years. By attending the webinar, you will learn:
- A repeatable, 10-step methodology to successfully delivering a single view
- The required technology capabilities and tools to accelerate project delivery
- Case studies from customers who have built transformational single view applications on MongoDB.
MongoDB San Francisco 2013: Storing eBay's Media Metadata on MongoDB present...MongoDB
This session will be a case study of eBay’s experience running MongoDB for project Zoom, in which eBay stores all media metadata for the site. This includes references to pictures of every item for sale on eBay. This cluster is eBay's first MongoDB installation on the platform and is a mission critical application. Yuri Finkelstein, an Enterprise Architect on the team, will provide a technical overview of the project and its underlying architecture.
During this presentation, Infusion and MongoDB shared their mainframe optimization experiences and best practices. These have been gained from working with a variety of organizations, including a case study from one of the world’s largest banks. MongoDB and Infusion bring a tested approach that provides a new way of modernizing mainframe applications, while keeping pace with the demand for new digital services.
Agile Software Development is becoming the defacto way of building software these days. More and more enterprises, from large fortune 500 to small shop start-ups, are adopting agile development methodologies. But Agile Software development is more than just a methodology or a practice. It's also a combined set of tools and platforms that today are at our disposal to allows to iterate faster, get-to-market sooner and also fail faster. These set of tools augment our development cycles by a few orders of magnitude and allow developers to be much more productive.
Webinar: An Enterprise Architect’s View of MongoDBMongoDB
The document provides an overview of MongoDB and how it addresses the requirements of modern applications and enterprises. It discusses how traditional databases struggle with new demands around dynamic schemas, large volumes of data, and agile development. MongoDB supports these requirements through features like document data structures, horizontal scaling, and high performance. Case studies demonstrate how MongoDB has helped organizations build real-time views of customer data, virtualize legacy systems, and improve data distribution. The document concludes by discussing best practices for enterprise adoption of MongoDB.
MongoDB and RDBMS: Using Polyglot Persistence at Equifax MongoDB
MongoDB and RDBMS: Using Polyglot Persistence at Equifax. Presented by Michael Lawrence, Pariveda Solutions on behalf of Equifax at MongoDB Evenings Atlanta on September 24, 2015.
MongoDB and Our Journey from Old, Slow and Monolithic to Fast and Agile Micro...MongoDB
Jeremiah Ivan, VP of Engineering, Merrill Corporation
In the span of 12 months Merrill was able to move from a monolithic and hard-to-change architecture to a fast-moving, agile development platform, enabled by the MongoDB database. We’ll talk about the technology, people, and process changes involved in the transformation. We hope that participants in this session will come away with the bits and pieces of a recipe for success that they can apply to their environment.
Redis & MongoDB: Stop Big Data Indigestion Before It StartsMongoDB
<b>MongoDB @ Redis Labs </b>[10:40 am - 11:00 am]<br />Efficiently digesting data in large volumes can prove to be challenging for any database. The challenges are compounded when this influx must be analyzed on the fly, or ""tasted"", to satisfy the sophisticated palates of modern apps. Luckily, there are several proven remedies you can concoct with Redis to help with potential indigestion.
Organisations are building their applications around microservice architectures because of the flexibility, speed of delivery, and maintainability they deliver. In this session, the concepts behind microservices, containers and orchestration was explained and how to use them with MongoDB.
<b>Elevate MongoDB with ODBC/JDBC </b>[4:05 pm - 4:25 pm]<br />Adoption for MongoDB is growing across the enterprise and disrupting existing business intelligence, analytics and data integration infrastructure. Join us to disrupt that disruption using ODBC and JDBC access to MongoDB for instant out-of-box integration with existing infrastructure to elevate and expand your organization’s MongoDB footprint. We'll talk about common challenges and gotchas that shops face when exposing unstructured and semi-structured data using these established data connectivity standards. Existing infrastructure requirements should not dictate developers’ freedom of choice in a database
Webinar: Faster Big Data Analytics with MongoDBMongoDB
Learn how to leverage MongoDB and Big Data technologies to derive rich business insight and build high performance business intelligence platforms. This presentation includes:
- Uncovering Opportunities with Big Data analytics
- Challenges of real-time data processing
- Best practices for performance optimization
- Real world case study
This presentation was given in partnership with CIGNEX Datamatics.
How leading financial services organisations are winning with techMongoDB
Financial services organizations are adopting new technologies like cloud computing, big data, artificial intelligence, blockchain, and Internet of Things to improve business agility, reduce costs, and gain new insights from data. MongoDB is helping in areas like cloud data strategy, blockchain applications, mainframe offloading, and powering Internet of Things applications by providing a flexible, scalable database that can be deployed across on-premises, private cloud, and public cloud environments.
The document discusses MongoDB operations for developers, including its data model, use of replication for high availability, sharding for scalability, and deployment architectures. It also covers MongoDB's philosophy, benefits of its document model, how replica sets provide self-healing and failure recovery, and security features available in MongoDB Enterprise.
MongoDB is a leading database technology that combines the foundations of RDBMS with the innovations of NoSQL, allowing organizations to simultaneously boost productivity and lower TCO.
MongoDB Enterprise Advanced is a finely-tuned package of advanced software, enterprise-grade support, and other services designed to accelerate your success with MongoDB in every stage of your app lifecycle, from early development to the scale-out of mission-critical production environments.
With the release of 3.2, MongoDB Enterprise Advanced now includes:
MongoDB Ops Manager 2.0
MongoDB Compass, the MongoDB GUI
MongoDB Connector for Business Intelligence
Encrypted Storage Engine
In-Memory Storage Engine (beta)
Attend this webinar to learn how MongoDB Enterprise Advanced can help you get to market faster and de-risk your mission critical deployments.
The Double win business transformation and in-year ROI and TCO reductionMongoDB
This document discusses how modern information management with flexible data platforms like MongoDB can help businesses transform and drive ROI through cost reduction and increased productivity compared to legacy systems. It provides examples of strategic areas where MongoDB can modernize an organization's full technology stack from data in motion/at rest to apps, compute, storage and networks. Success stories show how MongoDB has helped companies like Barclays reduce costs and complexity while improving resiliency, agility and innovation.
Calculating ROI with Innovative eCommerce PlatformsMongoDB
The document discusses how MongoDB can help companies enable omni-channel retailing and calculate ROI with innovative e-commerce platforms. It describes how MongoDB allows for up-to-date product availability and information across channels in real-time through flexible schemas and horizontal scaling. Case studies are presented showing how companies like Otto Germany were able to build custom e-commerce platforms on MongoDB faster and with more agility and performance than traditional systems. The presentation concludes by encouraging companies to start prototyping omni-channel capabilities using MongoDB.
Webinar: How to Drive Business Value in Financial Services with MongoDBMongoDB
Huge upheaval in the finance industry has led to a major strain on existing IT infrastructure and systems. New finance industry regulation has meant increased volume, velocity and variability of data, so-called Big Data. This coupled with cost pressures from the business has led these institutions to seek alternatives. Top tier institutions like MetLife have turned to MongoDB because of the enormous business value it enables.
In this session, learn where and how you should use MongoDB to get the maximum value including specific case studies such as saving $40M in one project.
The use cases are specific to financial services but the patterns of usage - agility, scale, global distribution - will be applicable across many industries.
- IOOF is an Australian financial services company founded in 1846 that offers products like financial advice, superannuation, investment management, and trustee services.
- It has 235 IT employees across the group working on corporate systems, platform systems, and infrastructure services. Platform systems include multiple vendor-supplied, internally developed, and retail vs employer systems.
- In 2009, IOOF started using Agile development and now releases new features 50-100 times per month through cross-functional teams to address issues of the past like vendor lock-ins, scalability problems, and siloed systems.
1. The document discusses adapting data strategies for the cloud, where time to market has replaced cost as the primary driver of cloud adoption.
2. It outlines key considerations for choosing a cloud data platform, including deployment flexibility, reducing complexity, agility, resiliency, scalability, cost, and security.
3. The document summarizes how MongoDB can provide a flexible cloud data strategy through offerings like MongoDB Atlas that offer deployment flexibility across public, private, and hybrid clouds without vendor lock-in.
Accelerating a Path to Digital With a Cloud Data StrategyMongoDB
The document describes a conference on accelerating a path to digital transformation with a cloud data strategy. It provides an agenda for the conference including speakers on executing a cloud data strategy, customer stories from De Persgroep and Toyota Motor Europe, and a session on landing in the cloud with MongoDB Atlas. The document also provides background on the speakers and their companies.
Accelerating the Path to Digital with a Cloud Data StrategyMongoDB
This document discusses accelerating digital transformation through a cloud data strategy using MongoDB.
It begins by outlining MongoDB's capabilities as a cloud data platform, including its use by over 3000 enterprises. The document then discusses how time to market has replaced cost as the primary driver for cloud adoption. It also outlines considerations for choosing a cloud data platform like deployment flexibility, reducing complexity, agility, resiliency, scalability, cost, and security.
The document then provides an overview of MongoDB's cloud offerings, including MongoDB Atlas on public clouds, MongoDB Ops Manager for private clouds, and MongoDB Stitch for backend services. It also discusses best practices for replatforming applications from relational databases to MongoDB in the cloud.
Faster, Simpler, Better - MongoDB to the rescue MongoDB
The document summarizes a presentation given by Jon Vines of AO.com on adopting microservices. Jon defines key concepts like monoliths and microservices. He discusses when to use microservices and the important role of data in microservices. Specifically, he covers accessing and sharing data between microservices using events, requests/responses, and materialized views. Jon also discusses avoiding anti-patterns like single responsibility services and independent deployments. He concludes by mentioning AO.com chose MongoDB due to its support for rapid schema evolution and low operational overhead.
This document discusses cloud-native applications and serverless computing. It begins with an introduction to cloud-native applications and core technologies like containers, orchestrators, and microservices. Examples are then given of how companies like Fujifilm and ASOS have benefited from serverless architectures on Azure. The document concludes with an overview of Azure serverless services like Functions, Event Grid, Cosmos DB, and Logic Apps and a sample serverless application architecture diagram.
Accelerating a Path to Digital with a Cloud Data StrategyMongoDB
1) The document discusses accelerating a path to digital transformation with a cloud data strategy. It covers topics like the seismic shifts in organizations and application architectures, and the need to rethink underlying data layers.
2) The presentation discusses building an enterprise data fabric at Royal Bank of Scotland using MongoDB to provide data storage, query, and distribution as a service. This simplified development, reduced costs, and improved velocity.
3) MongoDB was presented as the foundation for cloud data strategies, providing the freedom to run applications anywhere while leveraging the benefits of multiple clouds.
Relational databases are being pushed beyond their limits because of the way we build and run applications today, coupled with growth in data sources and user loads. To address these challenges, many companies, such as MTV and Cisco have migrated successfully from relational databases to MongoDB.
La creación de una capa operacional con MongoDBMongoDB
The document discusses using MongoDB to modernize mainframe systems by reducing costs and increasing flexibility. It describes 5 phases of mainframe modernization with MongoDB, from initially offloading reads to using MongoDB as the primary system of record. Case studies are presented where MongoDB helped customers increase developer productivity by 5-10x, lower mainframe costs by 80%, and transform IT strategies by simplifying technology stacks.
Webinar: “ditch Oracle NOW”: Best Practices for Migrating to MongoDBMongoDB
This webinar will guide you through the best practices for migrating off of a relational database. Whether you are migrating an existing application, or considering using MongoDB in place of your traditional relational database for a new project, this webinar will get you to production faster, with less effort, cost and risk.
MongoDB 3.4 is a multi-model database that supports documents, relational data, key-value, and graph structures. It features new capabilities like faceted navigation for advanced analytics, views for mission critical applications, and intra-cluster compression. MongoDB also provides enterprise tools like Ops Manager for high resolution monitoring, Compass for visual data exploration, and connectors for BI and SQL tools.
MongoDB Breakfast Milan - Mainframe Offloading StrategiesMongoDB
The document summarizes a MongoDB event focused on modernizing mainframe applications. The event agenda includes presentations on moving from mainframes to operational data stores, demo of a mainframe offloading solution from Quantyca, and stories of mainframe modernization. Benefits of using MongoDB for mainframe modernization include 5-10x developer productivity and 80% reduction in mainframe costs.
The document discusses MongoDB and data treatment. It covers how MongoDB can help with data integrity, confidentiality, correctness and reliability. It also discusses how MongoDB supports dynamic schemas, replication for high availability, security features and can be used as part of a modern enterprise technology stack including integration with Hadoop. MongoDB can be deployed on Azure as a fully managed service.
This document provides an introduction to Cloudant, which is a fully managed NoSQL database as a service (DBaaS) that provides a scalable and flexible data layer for web and mobile applications. The presentation discusses NoSQL databases and why they are useful, describes Cloudant's features such as document storage, querying, indexing and its global data presence. It also provides examples of how companies like FitnessKeeper and Fidelity Investments use Cloudant to solve data scaling and management challenges. The document concludes by outlining next steps for signing up and exploring Cloudant.
Schnellere Digitalisierung mit einer cloudbasierten DatenstrategieMongoDB
Am 5. Juli zeigen wir Ihnen in Düsseldorf anhand unserer Best Practices für die Ausarbeitung und Optimierung einer cloudbasierten Datenstrategie, wie Sie die digitale Transformation in Ihrem Unternehmen beschleunigen können.
Since inception of MongoDB as a NoSQL database system, roughly half of deployments have been on commercial cloud, providing Infrastructure as a Service. Business users have realized benefit of instant, elastic procurement of servers and offloading costs from traditional data center architecture. The next phase of cloud service architecture is Database as a Service, which has been accelerating dramatically the last year among large enterprise customers of MongoDB. We will explore integration with varying enterprise cloud architectural requirements, MongoDB best practices as applied to fundamental architectural choices, and collaboration with the business owners to ensure a good match of needs and value. We will also address accounting, chargeback integration, and quanification of benefits to the enterprise, such as standardizing elastic architecture and offloading database system maintenance costs.
Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few.
Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO.
Agenda included:
- Pizza and Networking
- Joe Caserta, President, Caserta Concepts - Why are we here?
- Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration
- Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing
- James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service
- Q&A, Networking
For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/
New to MongoDB? We'll provide an overview of installation, high availability through replication, scale out through sharding, and options for monitoring and backup. No prior knowledge of MongoDB is assumed. This session will jumpstart your knowledge of MongoDB operations, providing you with context for the rest of the day's content.
The document discusses various options for modernizing applications, including rehosting, refactoring, rearchitecting, and rebuilding apps. Rehosting involves moving apps to cloud infrastructure with minimal changes. Refactoring leverages existing code while taking advantage of cloud capabilities. Rearchitecting involves major code revisions for cloud-native apps and microservices. Rebuilding apps is building new apps using cloud-native platforms from the ground up. The document provides benefits, definitions, considerations, and technologies for each option to help determine the best modernization approach.
As an official MongoDB-as-a-Service offering from MongoDB Inc., the maker for MongoDB, Atlas is becoming a very popular service offering for those who wish to build their applications in the cloud, regardless on AWS, Azure or GCP. One less known cloud product offered on the Atlas platform is Stitch, A group of services designed to interact with Atlas in every conceivable way, including creating endpoints, triggers, user authentication flows, serverless functions, and a UI to handle all of this. Adding these together, you have a server-less solution running on top of MongoDB cloud.
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MongoDB SoCal 2020: Migrate Anything* to MongoDB AtlasMongoDB
This presentation discusses migrating data from other data stores to MongoDB Atlas. It begins by explaining why MongoDB and Atlas are good choices for data management. Several preparation steps are covered, including sizing the target Atlas cluster, increasing the source oplog, and testing connectivity. Live migration, mongomirror, and dump/restore options are presented for migrating between replicasets or sharded clusters. Post-migration steps like monitoring and backups are also discussed. Finally, migrating from other data stores like AWS DocumentDB, Azure CosmosDB, DynamoDB, and relational databases are briefly covered.
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!MongoDB
These days, everyone is expected to be a data analyst. But with so much data available, how can you make sense of it and be sure you're making the best decisions? One great approach is to use data visualizations. In this session, we take a complex dataset and show how the breadth of capabilities in MongoDB Charts can help you turn bits and bytes into insights.
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...MongoDB
MongoDB Kubernetes operator and MongoDB Open Service Broker are ready for production operations. Learn about how MongoDB can be used with the most popular container orchestration platform, Kubernetes, and bring self-service, persistent storage to your containerized applications. A demo will show you how easy it is to enable MongoDB clusters as an External Service using the Open Service Broker API for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDBMongoDB
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MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB
Humana, like many companies, is tackling the challenge of creating real-time insights from data that is diverse and rapidly changing. This is our journey of how we used MongoDB to combined traditional batch approaches with streaming technologies to provide continues alerting capabilities from real-time data streams.
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series DataMongoDB
Time series data is increasingly at the heart of modern applications - think IoT, stock trading, clickstreams, social media, and more. With the move from batch to real time systems, the efficient capture and analysis of time series data can enable organizations to better detect and respond to events ahead of their competitors or to improve operational efficiency to reduce cost and risk. Working with time series data is often different from regular application data, and there are best practices you should observe.
This talk covers:
Common components of an IoT solution
The challenges involved with managing time-series data in IoT applications
Different schema designs, and how these affect memory and disk utilization – two critical factors in application performance.
How to query, analyze and present IoT time-series data using MongoDB Compass and MongoDB Charts
At the end of the session, you will have a better understanding of key best practices in managing IoT time-series data with MongoDB.
Join this talk and test session with a MongoDB Developer Advocate where you'll go over the setup, configuration, and deployment of an Atlas environment. Create a service that you can take back in a production-ready state and prepare to unleash your inner genius.
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]MongoDB
Our clients have unique use cases and data patterns that mandate the choice of a particular strategy. To implement these strategies, it is mandatory that we unlearn a lot of relational concepts while designing and rapidly developing efficient applications on NoSQL. In this session, we will talk about some of our client use cases, the strategies we have adopted, and the features of MongoDB that assisted in implementing these strategies.
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2MongoDB
Encryption is not a new concept to MongoDB. Encryption may occur in-transit (with TLS) and at-rest (with the encrypted storage engine). But MongoDB 4.2 introduces support for Client Side Encryption, ensuring the most sensitive data is encrypted before ever leaving the client application. Even full access to your MongoDB servers is not enough to decrypt this data. And better yet, Client Side Encryption can be enabled at the "flick of a switch".
This session covers using Client Side Encryption in your applications. This includes the necessary setup, how to encrypt data without sacrificing queryability, and what trade-offs to expect.
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...MongoDB
MongoDB Kubernetes operator is ready for prime-time. Learn about how MongoDB can be used with most popular orchestration platform, Kubernetes, and bring self-service, persistent storage to your containerized applications.
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB
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MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your MindsetMongoDB
When you need to model data, is your first instinct to start breaking it down into rows and columns? Mine used to be too. When you want to develop apps in a modern, agile way, NoSQL databases can be the best option. Come to this talk to learn how to take advantage of all that NoSQL databases have to offer and discover the benefits of changing your mindset from the legacy, tabular way of modeling data. We’ll compare and contrast the terms and concepts in SQL databases and MongoDB, explain the benefits of using MongoDB compared to SQL databases, and walk through data modeling basics so you feel confident as you begin using MongoDB.
MongoDB .local San Francisco 2020: MongoDB Atlas JumpstartMongoDB
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MongoDB .local San Francisco 2020: Aggregation Pipeline Power++MongoDB
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MongoDB Atlas Data Lake is a new service offered by MongoDB Atlas. Many organizations store long term, archival data in cost-effective storage like S3, GCP, and Azure Blobs. However, many of them do not have robust systems or tools to effectively utilize large amounts of data to inform decision making. MongoDB Atlas Data Lake is a service allowing organizations to analyze their long-term data to discover a wealth of information about their business.
This session will take a deep dive into the features that are currently available in MongoDB Atlas Data Lake and how they are implemented. In addition, we'll discuss future plans and opportunities and offer ample Q&A time with the engineers on the project.
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB
Virtual assistants are becoming the new norm when it comes to daily life, with Amazon’s Alexa being the leader in the space. As a developer, not only do you need to make web and mobile compliant applications, but you need to be able to support virtual assistants like Alexa. However, the process isn’t quite the same between the platforms.
How do you handle requests? Where do you store your data and work with it to create meaningful responses with little delay? How much of your code needs to change between platforms?
In this session we’ll see how to design and develop applications known as Skills for Amazon Alexa powered devices using the Go programming language and MongoDB.
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...MongoDB
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MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...MongoDB
Il n’a jamais été aussi facile de commander en ligne et de se faire livrer en moins de 48h très souvent gratuitement. Cette simplicité d’usage cache un marché complexe de plus de 8000 milliards de $.
La data est bien connu du monde de la Supply Chain (itinéraires, informations sur les marchandises, douanes,…), mais la valeur de ces données opérationnelles reste peu exploitée. En alliant expertise métier et Data Science, Upply redéfinit les fondamentaux de la Supply Chain en proposant à chacun des acteurs de surmonter la volatilité et l’inefficacité du marché.
2. • Begrüßung und Einführung
• Umsetzung einer cloudbasierten Datenstrategie
• Best Practices Migration RDBMS zu MongoDB
• Wie MongoDB unterstützen kann
• Q&A und Networking
Agenda
3. Your Speakers today:
André Thelen
Regional Director DACH,
MongoDB
Dr. Christian Kurze
Senior Solutions Architect,
MongoDB
Dirk Slama
Vice President Bosch Software
Innovations
4. • Begrüßung und Einführung
• Umsetzung einer cloudbasierten Datenstrategie
• Best Practices Migration RDBMS zu MongoDB
• Wie MongoDB unterstützen kann
• Q&A und Networking
Agenda
5. 40%
6%
30%
23%
Align operational expenditure with value
Scale to new geographies and markets
Lack the required in-house expertise
Reduce time to market and faster app delivery
“What is your primary reason for using cloud
technologies?”
While cost was once widely-cited as the driver of cloud adoption,
time to market has taken its place.
Source: MongoDB Research
6. Key decision criteria
Deployment Flexibility
On-premise, Private, Public, or Hybrid
without vendor lock-in
Agility
Accelerate time to market and speed
of change for the business
Cost
Aligned to actual demand and value but
with predictability
What to think about when choosing a cloud data platform
Resiliency
Engineered for high availability
across distributed architectures
Scalability
Elastically grow with demand
Security
Leverage best in class and appropriate
security controls
Reducing Complexity
Broad use case applicability to avoid
additional complexity
8. Multi-model Built for mission critical workloads
Adoption & Growth 3000+ Enterprise Customers 2500+ Atlas Customers
Scalable and Resilient
Who Is MongoDB?
10. • Begrüßung und Einführung
• Umsetzung einer cloudbasierten Datenstrategie
• Wie Bosch SI die Enterprise/Cloud-Integration umsetzt
• Best Practices Migration RDBMS zu MongoDB
• Wie MongoDB unterstützen kann
• Q&A und Networking
Agenda
11. The Cloud Era
Platform Transformation
Platform 1: Mainframes Platform 2: Client/Server Platform 3: Cloud/Mobile
1960s-1980s 1990s-2000s 2010-Beyond
13. 13
Seismic Shifts — Application Architecture
On premises / self-hosted
Monolithic
Proprietary
Fat Client / Web v1
Cloud
Microservices
Open source
Mobile
14. 14
Operational Single View
Solution: Dynamic Schema and Easy Scaling
Customer Facing
Applications
Silo 1Silo 1Silo 1
Silo 1Silo 1Silo 2
Silo 1Silo 1Silo 3
Regulatory
Applications
Operational Reporting Data Warehouse
Strategic Reporting
Benefits
• Real-time
• Complete details
• Agile
• Higher customer retention
• Increase wallet share
• Proactive exception handling
CRM
Real-Time or Batch
SAP Production
15. 15
Provisioning Service
Advanced Deployment Patterns
We see increasing adoption of more advanced deployment patterns across all industries and company sizes to
enable strategic business and IT transformation programmes.
API Access Layer (SOA, Microservices)
”Atomic Data”
App1 App2 App3
Customers
Products
Accounts
Transactions
DB1 DB2 DB3
App1 App2 App3
Infrastructure* Infrastructure*
Database as a Service (DBaaS)
Standardise processes to request environments, automate
provisioning (if possible), and establish best practices to
administrate large deployments.
Data as a Service (DaaS)
Streamline access to channelised, atomic data to increase
efficiency, avoid data duplication, enable high-availability &
resilience.
Access through MongoDB
drivers in each application
* MongoDB architecture enables you to spread data across multiple regions & data centres (on-premise or in the cloud) to
achieve maximum resilience, high availability, and low latency for local data requests.
16. 16
API Access Layer
Operational Data
Customers
Products
Accounts
Transactions
Shared Physical Infrastructure
App1 App2 App3
1. Development agility
– UI for self-service provisioning & scaling
2. Data Re-use
– Each service’s data is physically isolated into its own
database instance
– Federated across services with appropriate permissioning
3. Corporate Governance
– Logically managed as one service
Cloud Data Strategy
Standardized, On-Demand Database Service
Deployment Agnostic
Any Cloud, Any Where
17. Cloud ManagerOps Manager MongoDB Atlas
Private DBaaS: On-
Prem
Multi-Purpose DB & Eliminating Lock-In
Hybrid DBaaS
Public DBaaS: Fully
Managed
Same Code Base, Same API, Same Management UI
18. • Begrüßung und Einführung
• Umsetzung einer cloudbasierten Datenstrategie
• Best Practices Migration RDBMS zu MongoDB
• Wie MongoDB unterstützen kann
• Q&A und Networking
Agenda
22. Comparison of RDBMS & Documents
RDBMS MongoDB
Database Database
Table Collection
Row Document
Column Field
Index Index
Join Embedded document, document
references or $lookup to combine data
from different collections
26. 26
MongoDB Ops Manager
Management Platform for Private DBaaS
Monitoring
• Deploy, resize, and
upgrade your
deployments with
just a few clicks
• RESTful API to
integrate with your
enterprise
orchestration tools
• Allocate and create
pre-provisioned
server pools; Cloud
Foundry Integration
Automation Backup
• Continuous
backups to
minimize your
exposure to data
loss
• Restore to precisely
the moment you
need with point-in-
time recovery
• Dozens of charts
tracking key
performance
indicators
• Custom alerts that
trigger when key
metrics are out of
range
• RESTful API to
integrate with your
existing APM tools
Seamless integration into
your enterprise architecture
27.
28. From Traditional to DBaaS
• Slow to build and launch new
applications
• Multiple copies of data
• Complex data reconciliation
controls
• High licensing costs
• Sprawling server estate
12,000+ RDBMS Instances
3,500 Systems, 40,000 Cores
1,200+ Coherence Instances
29. 29
Solution: Data Fabric
✓ Multi-tenant PaaS
✓ Exposing APIs for data streaming and storage
✓ Cloud native, self-service
✓ Modern, industry standard, open source
technologies
✓ Intra-day releases
✓ Multi-data center
“Data Fabric provides data storage, query and distribution as a service,
enabling application developers to concentrate on business functionality.”
Data Fabric Clients
Java, .NET, REST
API Layer
CRUD & Streaming
App Server Layer
Java + Linux
Database
MongoDB
Messaging
Kakfa
Security
Authentication&Audit
Data Fabric
30. 34% Increase in Developer Efficiency
Servers discovered that could be de-
commissioned14,105
284:1 Storage Saving
Cost per TB storage saving
Cost Avoidance
License, hardware and operational cost
savings
£10m+
Outcomes with MongoDBBefore MongoDB
• Duplicated data
• Duplicated processes
Complex
• High cost base for incumbent technologies
• High hardware costs for incumbent
technologies
Expensive
• Long time to market for new capabilities
• Developers having to manage multiple
technologies
Slow
“We’re replacing hundreds of separate products with a platform called Data Fabric, which will help reduce cost significantly
and dramatically increase the speed at which we can deploy new capabilities"
Ross McEwan – RBS CEO
MongoDB Current Value to RBS Data Fabric Team
33. 33
Secure out of the box
Scale your Impact with MongoDB Atlas
Comprehensive
monitoring
Fully managed backups
Self-service &
automated
Highly available by
default
Fully elastic
The latest database
features
MongoDB Atlas is …
MongoDB Atlas includes …
34. 34
MongoDB Atlas Powering Microservices
Architecture
Biotechnology giant uses MongoDB Atlas to allow their customers to execute
& track experiments from any mobile device
Problem Why MongoDB Results
Problem
Over 35 different apps accessed by 10,000+
unique customers on AWS
Each experiment produces millions of “rows” of
data, which led to suboptimal performance
with incumbent databases
RDS & Aurora slow, added code complexity
DynamoDB limited query functionality &
expensive
Solution
MongoDB Atlas managed database service
Flexible document model allows storage
of multi-structured data
Expressive query language and secondary
indexes allow ad-hoc analysis of
experiment data
Scalability to handle growing data
volumes
Results
Thermo Fisher customers now obtain real-time
insights from mass spectrometry experiments
from any mobile device or browser; not
possible before
Improved developer productivity with 40x less
code, improved performance by 6x
Easy migration process & zero downtime.
Testing to production in under 2 months
35. MongoDB Stitch
Fully Managed Backend-as-a-Service
Stitch
Integrated services and pipelines for
complex, multi-stage workflows
Native SDKs for Android, JS, and iOS clients
Direct database access
36. • Begrüßung und Einführung
• Umsetzung einer cloudbasierten Datenstrategie
• Best Practices Migration RDBMS zu MongoDB
• Wie MongoDB unterstützen kann
• Q&A und Networking
Agenda
37. 37
Focus on building internal capability
Our professional services team will work with your in-house resources to transfer knowledge
as quickly as possible. We will work with you to enable your teams, and not do things to you.
Discovery Design OperateBuild Deploy
In-houseCapabilitylevel
&MongoDBInvolvement
Our professional services team will
drive the transformation from day 1,
but collaborate closely with your
teams to upskill in-house resources.
Once in-house resources have
reached a sufficient level of expertise
we will dial back our involvement as
much as possible to allow you to own
the solution going forward.
Our team will stay involved with a “lighter
touch” and help with more complex queries
while providing advice around performance
tuning and automation for production.
Customer
Customer
38. 38
Enablement for a traditional model
MongoDB offers a range of options to support a single project, a programme, or an entire transformation
roadmap in all phases of the development lifecycle, tailored to an organisation’s current and future needs.
Centre of Excellence Support
ImplementationExcellence
OperationsExcellence
Professional Services (Onsite Consulting Engineer)
Global Coverage Team (x nTSE)
Training (for Developers & Operations)
Named Technical Services Engineer (nTSE)
Discover Design Build Deploy Operate
39. 39
Centre of Excellence Support
OperationsExcellence
Implementation
Excellence
Discovery
Enablement for an Agile / DevOps model
Our services and support organisation are very experienced in working in traditional models as well as in working in an agile
or DevOps model. We will tailor our engagement around your ways of working to achieve maximum effectiveness.
Dev /
Change
Ops /
Run
Professional
Services
Developer
Training
Named Technical Services
Engineer and Global
Coverage Teams
Operations
Training
40. ALIGN
Determine the Drivers
ENGAGE
Quantify the Value
VALIDATE
Validate the Outcome
Best Practice Approach
• Time to Market, Reducing
Costs Associated with
Operations and Process,
Customer Acquisition, Growth,
Reduced Risk, Improved
Resilience
• What MongoDB benefits are
relevant?
• Determine the delta between
your current state and your
desired future state
• Leverage our experience and
tooling to determine business
impact
• Build consensus with
stakeholders
• Present teams and executive
sponsor the final business case
• Openly discuss expectations
versus findings
• Seek to gain agreement on
moving forward or revisit the
scope and use cases
41. • Begrüßung und Einführung
• Umsetzung einer cloudbasierten Datenstrategie
• Best Practices Migration RDBMS zu MongoDB
• Wie MongoDB unterstützen kann
• Q&A und Networking
Agenda
42. 42
Resources to Get Started
Spin up a cluster on the
Free Tier today
Download the Whitepaper