This conference will have something for anyone interested in using MongoDB, from introductory sessions to more advanced discussions on sharding and MapReduce. Presenters at the conference will include Four Kitchens co-founder David Strauss and 10gen’s Mathias Stearn.
Tickets are running out fast! Visit http://mongodbday.eventbrite.com/to learn more and register.
Are you going to Structure?
GigaOm’s Structure is one of the most interesting conferences in the Bay Area this year. In 2010, we’re excited that Eliot Horowitz from 10gen / MongoDB will be speaking. GigaOm, who were media sponsors at the recently completed NoSQL Live event in Boston, has provided a special discount code for friends of MongoDB to register for the conference at a $100 savings. Hope to see you there! Details, including the discount code from our partner GigaOm: GigaOM’s Structure conference is back for 2010! Get your ticket now! Your $100 discount on this year’s conference is available now! http://structure2010.eventbrite.com/?discount=NOSQL100 GigaOM’s flagship conference, Structure, returns on June 23rd and 24th for two days of deep insight on the Cloud Computing industry. Taking place at the Mission Bay Conference Center in San Francisco, Structure 2010 promises to be our best Structure conference yet. **Save the dates** June 23rd and 24th Mission Bay Conference Center, San Francisco http://events.gigaom.com/structure/10/ The $1.4 trillion IT market is undergoing a massive shake-up due to Cloud Computing. From the chips that power the compute clouds to the broadband that transports the computation and the software that ties it all together, Cloud Computing is creating a fundamental shift in how we think about and buy computing services. And at each point in the chain, such disruption creates another opportunity. At Structure 2010 you will learn about those opportunities and how to profit from them. Our speaker list is growing every day. Confirmed speakers include: Erich Clementi - VP, Strategy & General Manager, Enterprise Initiatives, IBM Marc Benioff - Chairman and CEO, salesforce.com Werner Vogels - CTO, Amazon.com Dr. Amr Awadallah - CTO and co-founder, Cloudera Eliot Horowitz – CTO and co-founder, 10gen / MongoDB Nick McKeown - Professor, Stanford University William Forrest - Principal, McKinsey For the most up-to-date list, see our web site: http://events.gigaom.com/structure/10/ When you attend Structure 2010 you will learn: Why Cloud Computing is important – The scenarios in which it reduces cost, improves collaboration, speeds the real-time enterprise and increases enterprise agility. Why new computing architectures are needed to support Cloud Computing and what they are – Hint: It’s not what’s currently in your data center. Why Big Data means Big Problems – How do you make sense of exascale data in a timely and cost-effective manner? What new opportunities exist to improve this? Why we might need to re-invent Internet technologies – The Internet is now asked to transport vast chunks of computation rather than small pieces of text, as it was designed to do. What impacts “Real Time” has on the cloud – What extra considerations does real-time business infrastructure require? …and much, much more. Check out the full schedule on our web site . So join us on June 23rd and June 24th in San Francisco to be part of the discussion at the Cloud Computing industry’s premier conference: Structure 2010. Register now and save $100 off the early-bird ticket price! http://structure2010.eventbrite.com/?discount=NOSQL100 Structure 2010 also represents a great way to directly address one of the most influential tech audiences anywhere. Call Mike Sly at (415) 235-0358 to find out how your company can exhibit.
Considering NoSQL? Let's Break Down Your Options
Non-relational alternatives to relational databases — usually referred to as NoSQL databases — have been rapidly gaining popularity over the past decade. In 2013, MongoDB published one of our most popular white papers, “Top 5 Considerations When Evaluating NoSQL Databases.” We have since updated that paper as the technology has evolved. MongoDB is now offering a major update, which adds two new issues organizations should include in their thinking: how a database handles data generated at the edge by mobile devices and how a database fits into a broader data platform that includes search and analytics. If you’re testing the waters of NoSQL databases, then you’re probably familiar with how they’re different from traditional relational databases. The list of things you already know about NoSQL probably looks something like this: They use a different data model and query language. They have dynamic schemas. They scale horizontally. Beyond those common features, there are significant differences among NoSQL databases. The seven areas of significant differences among your options are: Data model (document, graph, key-value, etc.) Query model Consistency and transactional model APIs Mobile data Data platform Commercial support, community strength, and lock-in From MongoDB’s point of view, the most important consideration is the data model. We popularized the document model , which supports a superset of all data models, making it useful for a wide variety of applications. Key features include the ability to index and query in any field, and the natural mapping of document data structures to objects in modern programming languages. Recent shifts in how modern applications are developed and deployed — and in the experiences they offer customers — highlight the two new considerations. Mobile use cases: Mobile applications introduce the added challenge of not always being connected to the network. Developers need a solution for keeping all their customers’ apps in sync with the back-end database, no matter where they are in the world and what kind of network connection they have. The solution also needs to scale easily and quickly as more users download an app, and support the cutting edge of mobile development technologies as they evolve. Data platform: MongoDB’s application data platform provides developers a unified interface to serve transactional and operational applications alongside search, real-time, and data lake application needs. It eliminates the overhead and friction of developers having to stitch together multiple discrete technologies into a complex architecture, each creating its own duplicated data silo — connected by fragile ETL pipelines — and accessed, secured, governed, and operationalized by different APIs and tools. For a deep dive into all the differences among NoSQL databases, download our white paper, “ Top 7 Considerations When Evaluating NoSQL Databases .”