At MongoDB World, we're bringing together the brightest minds in data. However, we know that not everyone can make it to Chicago, so we're sharing our keynote lineup live online.
You can watch the live stream at any time during MongoDB World keynote sessions. Here is our keynote schedule:
Tuesday June 20
9:00am - 11:00am CT:
- Tom Schenk, Chief Data Officer, City of Chicago
- Dev Ittycheria, CEO of MongoDB
- Eliot Horowitz, CTO & Co-Founder of MongoDB
5:00pm - 6:30pm CT:
- Saška Mojsilović, Scientist, IBM
- Claudio Gosiker, Director, Architecture, Planning & Controls, Florida Blue
- Matt Parker, Standup Mathematician
Wednesday, June 21
9:00 am - 10:00 am CT:
- Bjorn Freeman-Benson, CTO, InVision
- Justin Moses, Lead Engineer, MongoDB
- Jane McGonigal, PhD, Game Designer
- 2017 MongoDB Innovation Awards
2017 MongoDB Innovation Award Winners
MongoDB received an overwhelming number of nominations for the fourth annual MongoDB Innovation Awards, recognizing companies who are using MongoDB to dream big and deliver incredibly bold, innovative solutions for their business and industry. We are thrilled to announce our 13 winners who will be honored at MongoDB World 2017 , June 20-21 in Chicago. See the full list and read a bit more about how they are disrupting the status quo here: Healthcare Category: Experian Health Experian Health helps customers make smarter business decisions, build a better bottom line and foster stronger patient relationships for more than 3,200 hospitals and 7,100 healthcare organizations, representing more than 500,000 healthcare providers. The team recently launched the Universal Identity Manager (UIM), a patient identifier system built on top of MongoDB that brings together data from disparate databases, systems and data formats to create a single view of a patient. The UIM improves the safety, speed, quality, and cost of care for patients and caregivers alike. The Startup Enterprise: Nuxeo Working with MongoDB, Nuxeo built an entirely modern, cloud native, Content Services Platform - that enables customers to easily transform data into highly valuable digital assets, supporting their Digital Transformation initiatives. Native integration into business and productivity applications means customers can work the way they want without disrupting their operations. MongoDB is helping Nuxeo's largest customers exceed their most demanding scalability, performance and high availability requirements. Using MongoDB Enterprise Advanced, Nuxeo has seen a 10x improvement in bulk import throughput, stored more than 1B documents on a single cluster, and secured an import rate of more than 30K documents per second. Internet of Things: Orbita Orbita is an innovator of connected home healthcare solutions that increase patient engagement, improve patient outcomes, and reduce costs for the patient and healthcare provider alike. Building on top of voice-powered assistants such as Amazon Echo and Google Home, the team created Orbita Voice™, the first healthcare-centric solution designed to create interactive voice experiences that can survey patients, provide medical education, share activity reminders, monitor compliance, and more. Furthermore, Orbita Engage™, a first-of-its-kind IoT platform built for comprehensive care management, allows organizations to create, deploy, and manage HIPAA-compliant applications that combine data from wearables and other sensor-embedded devices into collaborative care experiences. Features include: Rule-based triggers for rapid intervention based on real-time data and insights User engagement tracking Visualizations and built-in analytics that help shape responses to user inputs Leveraging MongoDB Enterprise Advanced, Orbita securely ingests massive volumes of IoT data, adapts to changing data requirements, and helps organizations provide patients with high quality, cost-effective, and personalized care and support. The Enterprise Startup: Pivotal Pivotal Cloud Foundry, Pivotal's flagship software product, is the world's most powerful cloud-native platform used by organizations to rapidly develop and run modern and legacy applications at startup speeds. As a result, Pivotal works with over one-third of the Fortune 100, and a rapidly growing portion of the Fortune 2000. Moreover, Pivotal's continued customer momentum is accelerated by its growing partner ecosystem—highlighted by collaborations with companies such as MongoDB. MongoDB Enterprise is integrated as a service broker on Pivotal Cloud Foundry via Ops Manager, allowing dynamic on-demand provisioning of MongoDB service instances across hybrid clouds in standalone, replica set, or sharded cluster configurations. The joint solution drives rapid application development by reducing the friction between development and IT Operation teams. Developers are able to instantly provision MongoDB instances in a self service manner, without worrying about the complexities of configuring the underlying infrastructure. Simultaneously, IT Operation teams can seamlessly monitor, manage and scale MongoDB instances to ensure high service levels. Together, Pivotal and MongoDB offer the promise of an automated platform to build and run cloud-native applications, at scale. MongoDB Atlas: InVision InVision is the world’s leading design collaboration platform. Leveraging MongoDB Atlas as the multi-tenant solution for JSON messages, InVision built a highly collaborative design platform in the cloud that allows people around the world to have access to their designs at the speed of light and without a single line of code. Companies like IBM, Airbnb, Visa, Netflix and Evernote trust InVision to unlock the power behind design-driven product development. Panera Bread: Launch Fast Panera Bread uses MongoDB to help power U.S. e-commerce applications. This has helped Panera ensure their apps are available and response times are optimized. Partner of the Year: Infosys Infosys, a global leader in consulting, technology and next-generation services, partnered with MongoDB to launch a 1000+ consultant practice coupled with a robust center of excellence to help enterprises accelerate their digital transformation and application modernization initiatives. Infosys and MongoDB not only help organizations address the key pain points of cost, performance and scalability across legacy applications, but also respond to changing business needs by building new digital capabilities. As part of the partnership, Infosys and MongoDB are already helping many large enterprises with renewing and modernizing their IT landscape. Customer Experience: Cisco Cisco is the worldwide leader in IT that helps companies seize the opportunities of tomorrow. One important part of the business is Cisco’s eCommerce Platform which serves 140,000 global users across Cisco’s sales team, partner employees, and customer employees. This is a mission critical platform supporting $40+B of Cisco’s business. In order to tap into the agility of the cloud and improve the customer experience Cisco migrated to MongoDB. This change is helping developers get new applications live quicker, providing better scalability and giving customers a greatly improved experience by improving response times to users by 5x. Cisco’s commitment to excellence and embrace of cloud-native technologies has dramatically improved how its most important clients interact online. Scale: Phreesia Phreesia is at the forefront of improving the patient experience and organizational efficiency by helping healthcare providers better manage the patient intake process so they can focus on what they do best: rich doctor-patient interactions and high-quality treatment. MongoDB powers one of Phreesia’s most important applications – the eligibility application – that covers the gamut of the ‘run-up appointment’ process and allows patients to proactively pre-register, manage copayments, and ensure all their personal contact, medical history, and insurance information is accurate, up to date, and secure. Phreesia manages intake for over 50 million patients annually and has checked in more than 15% of the U.S. population. Data driven business: HSBC A digital revolution is happening at HSBC. As one of the world's largest banking and financial services organizations, the company is building global digital solutions that will help millions of customers worldwide to manage their personal and business finances. The drive for digital innovation comes as part of a series of strategic actions set out by HSBC’s board to adopt technology that makes HSBC simpler, better and faster. An example of that is how two HSBC trading IT teams are migrating away from relational databases to MongoDB as a technology to help simplify, migrate and manage complex data change. This technology shift is happening in tandem with a philosophical shift to an agile development and devops culture, enabled in part by MongoDB’s flexibility and scalability. Modern Enterprise Architecture: IHS Markit IHS Markit (Nasdaq:INFO), whose customers include 85% of the Fortune Global 500, is a world leader in information, analytics and solutions for the major industries and markets that drive economies worldwide. The company’s Data Delivery Service gives businesses access to more than 50 different streams of data including bonds pricing, commodities data and securities information. The service is powered by a complex infrastructure originally built on a relational database. However, growing data volumes and new requirements mandated a faster and more scalable solution. To solve that challenge and get new applications to market quickly, IHS Markit migrated its Data Delivery Service to MongoDB. The results have been impressive, with some financial data being delivered as much as 250x faster than it was previously. Single View: Barclays Barclays is solving one of the trickiest challenges facing any enterprise: a true 360 degree view of the customer with a platform that gives all support staff a complete single-view of every interaction a customer has had with the bank – including branch interactions, telephone banking, fraud detection alerts, outbound transactions, and more. This is helping Barclays drive customer interactions to new digital channels and improve the customer experience. Zola Award Winner: Robert Fehrmann Robert Fehrmann is a Senior Architect at Snagajob, a site that aims to put people in the right fit positions so they can maximize their potential and live more fulfilling lives. Robert has been working with Database technologies for over 30 years. Back then the newest kid on the block was Oracle. Over the years Robert has worked on countless applications, big and small, development and administration, always staying close to the data tier. Since bringing MongoDB to Snagajob in 2011, Robert has taken almost all the courses at MongoDB University, has been a founding member of the Richmond MUG (MongoDB User Group), which celebrated it's 4th anniversary in October of last year. And when Snagajob opened an office in Arlington, VA, Robert joined the Washington DC MUG, became a co-organizer and convinced Snagajob to provide the community with the same support for the DC community that the Richmond community has enjoyed for years.
Revolutionizing Data Storage and Analytics with MongoDB Atlas on Google Cloud and HCL
Every organization requires data they can trust—and access—regardless of its format, size, or location. The rapid pace of change in technology and the shift towards cloud computing is revolutionizing how companies handle, govern and manage their data by freeing them from the heavy operational burden of on-premise deployments. Enterprises are looking for a centralized, cost-effective solution that allows them to scale their storage and analytics so they can ingest data and perform artificial intelligence (AI) and machine learning (ML) operations, ultimately expanding their marketing horizon. This blog post explores why companies should partner with MongoDB Atlas on Google Cloud to begin their data revolution journey, and how HCL Technologies can support customers looking to migrate. MongoDB Atlas as the distributed data platform MongoDB Atlas is the leading database-as-a-service on the market for three main reasons: Unparalleled developer experience - allows organizations to bring new features to market at a high velocity Horizontal scalability - supports hundreds of terabytes of data with sub-second queries Flexibility - stores data to meet various regulatory, operational, and high availability requirements. The versatility offered by MongoDB’s document model makes it ideal for modern data-driven use cases that require support for structured, semi-structured, and unstructured content all within a single platform. Its flexible schema allows changes to support new application features without costly schema migrations typically required with relational databases. MongoDB Atlas extends the core database by offering services like Atlas Search and MongoDB Realm that are a necessity for modern applications. Atlas Search provides a powerful Apache Lucene-based full text search engine that automatically indexes data in your MongoDB database without the need for a separate dedicated search engine or error-prone replication processes. Realm provides edge-to-cloud sync and backend services to accelerate and simplify mobile and web development. Atlas’ distributed architecture supports horizontal scaling for data volume, query latency, and query throughput which offers the scalability benefits of distributed data storage alongside the rich functionality of a fully-featured general purpose database. MongoDB Atlas is unique in its ability to provide the most wanted database as a managed service and is relied on by the world’s largest companies for their mission-critical production applications. Innovation powered by collaboration with HCL Technologies MongoDB’s versatility as a general-purpose database, in addition to its massive scalability, makes it a perfect foundation for analytics, visualization, and AI/ML applications on Google Cloud. As an MSP partner for Google Cloud, HCL Technologies helps enterprises accelerate and risk-mitigate their digital agenda, powered by Google Cloud. We’ve successfully implemented applications leveraging MongoDB Atlas on Google Cloud, building upon MongoDB’s flexible JSON-like data model, rich querying and indexing, and elastic scalability in conjunction with Google Cloud’s class-leading cloud infrastructure, data analytics, and machine learning capabilities. HCL is working with some of the world’s largest enterprises in building secure, performant, and cost-effective solutions with MongoDB and Google. Possessing technical expertise in Google Cloud, MongoDB, machine learning, and data science, our dedicated team developed a reference architecture that ensures high performance and scalability. This is simplified by MongoDB Atlas’ support for Google Cloud services which allows it to essentially operate as a cloud-native solution. Highlighted features include: Integration with Google Cloud Key Management Service Use of Google Cloud’s native storage snapshot for fast backup and restore Ability to create read-only MongoDB nodes in Google Cloud to reduce latency with Google Cloud-native services regardless of where the primary node is located (even other public cloud providers!) Integrated billing with Google Cloud Ability to span a single MongoDB cluster across Google Cloud regions worldwide, and more As represented in Figure 1 below, MongoDB Atlas on Google Cloud can be used as a single database solution for transactional, operational, and analytical workloads across a variety of use cases. Figure 1: MongoDB's core characteristics and features The following architecture in Figure 2 demonstrates the ease of reading and writing data to MongoDB from Google Cloud services. Dataflow, Cloud Data Fusion, and Dataproc can be leveraged to build data pipelines to migrate data from heterogeneous databases to MongoDB and to feed data to create interactive dashboards using Looker. These data pipelines support both batch and real-time ingestion workloads and can be automated and orchestrated using Google Cloud - native services.. Figure 2: MongoDB Atlas' integration with core Google Cloud services A data platform built using MongoDB Atlas and Google Cloud offers an integrated suite of services for storage, analysis, and visualization. Address your business challenges with HCL: Industry use cases Data-driven solutions built with MongoDB Atlas on Google Cloud have multiple applications across industries such as financial services, media and entertainment, healthcare, oil and gas, energy, manufacturing, retail, and the public sector. Every industry can benefit from this highly integrated storage and analytical solution. Use Cases and Benefits Data lake modernization with low cost and high availability for media and entertainment customers: Maintaining high availability and a low-cost data lake is an obstacle for any online entertainment platform that builds mobile or web ticketing applications. However, building on Google App Engine with MongoDB Atlas Clusters in the backend allows for a high-availability, low-cost data platform that seamlessly feeds data to downstream analytics platforms in real time. Unified data platform for retail customers: The retail business frequently requests an agile environment in order to encourage innovation among its engineers. With its agility in scaling and resource management, seamless multi-region clusters, and premium monitoring, running MongoDB Atlas on Google Cloud is a fantastic choice for building a single data platform. This simplifies the management of different data platforms and allows developers to focus on new ideas. High-speed real-time data platform of supply chain system for manufacturing units: By having real-time visibility and distributed data services, supply chain data can become a competitive advantage. MongoDB Atlas on Google Cloud provides a solid foundation for creating distributed data services with a unified, easy-to-maintain architecture. The unrivaled speed of MongoDB Atlas simplifies supply chain operations with real-time data analytics. The way forward Even in just the past decade, organizations have been forced to adapt to the extremely fast pace of innovation in the data analytics landscape: moving from batch to real-time, on-premise to cloud, gigabytes to petabytes, and the increased accessibility of advanced AI/ML models thanks to providers like Google Cloud. With our track record of success in this domain, HCL Technologies is uniquely positioned to help organizations realize the joint benefits of building data analytics applications with best-of-breed solutions from Google Cloud and MongoDB. Visit us to learn more about the HCL Google Ecosystem Business Unit and how we can help you harness the power of MongoDB Atlas and Google Cloud Platform to change the way you store and analyze your data through these solutions.