MongoDB Boston 2014

October 1st
United States, Massachusetts, Boston

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As a MongoDB user, you’re part of the fastest-growing database community. What you may be missing, however, is the expertise to grow your MongoDB usage, both in terms of scaling your apps and finding new areas to apply MongoDB. MongoDB Boston is an annual one-day conference for developers, architects and operations professionals looking to deepen their knowledge and expertise of MongoDB. Join us at MongoDB Boston to:

  • Discover the exciting new features in our most recent release
  • Learn directly from MongoDB engineers on MongoDB development and operations best practices, with sessions for beginners and experienced users
  • Hear from MongoDB customers and community members about first-hand experiences with the technology

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Follow the #MongoDBDays hashtag to stay up-to-date on all things MongoDB Boston

Pre-Conference Workshops

We are offering two in-depth, hands-on MongoDB workshops the day before MongoDB Boston. These workshops are perfect for jump-starting your knowledge and use of MongoDB. Each session is led by a MongoDB engineer and limited to 15 students to ensure each student receives individual attention from a MongoDB expert. Expand your MongoDB knowledge at an Advanced Data Modeling or MongoDB and Hadoop. Please note that workshop registration is separate from conference registration. Learn More>

Admission

Admission price includes access to sessions, 1x1 time with a MongoDB engineer during Ask the Experts, lunch and refreshments. It does not include access to Workshops; please register separately.

Submit a Proposal

We are always looking for presenters to talk about their experiences with MongoDB. Proposal submissions must be received by August 5th. Please submit a presentation on our talk proposal form.

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Schedule

Developer Operations
9:15am - 9:45am

Welcome to MongoDB Boston

Eliot Horowitz, CTO and Co-Founder, MongoDB

10:00am - 10:50am

MongoDB and Hadoop: Driving Business Insights

Sandeep Parikh, Solutions Architect, MongoDB

MongoDB and Hadoop can work together to solve big data problems facing today's enterprises. We will take an in-depth look at how the two technologies complement and enrich each other with complex analyses and greater intelligence. We will take a deep dive into the MongoDB Connector for Hadoop and how it can be applied to enable new business insights with MapReduce, Pig, and Hive, and demo a Spark application to drive product recommendations.

Scaling MongoDB

Chad Tindel, Solution Architect, MongoDB

You've got MongoDB deployed, but your app has taken off and you need to set it up to perform under heavy loads. MongoDB offers sharding capabilities so we can horizontally scale our application and ensure consistent performance. In this session, we will go through scaling options for our application. You will walk away deeper understanding of how to configure your sharding setup, choose a shard key and leverage this feature for optimal scale.

11:00am - 11:50am

Socialite, the Open Source Status Feed

Asya Kamsky, Senior Solutions Architect, MongoDB

Building a complete social networking platform presents many challenges at scale. Socialite is a reference architecture and open source Java implementation of a scalable social feed service built on DropWizard and MongoDB. We'll provide an architectural overview of the platform, explaining how you can store an infinite timeline of data while optimizing indexing and sharding configuration for access to the most recent window of data. We'll also dive into the details of storing a social user graph in MongoDB.

Automate MongoDB with MongoDB Management Service

Kelly Stirman, Director of Product Marketing, MongoDB

MongoDB Management Service makes operations effortless, reducing complicated tasks to a single click. You can now provision machines, configure replica sets and sharded clusters, and upgrade your MongoDB deployment all through the MMS interface. This session will introduce you to the engineering team at MongoDB building the automation functionality in MMS. We'll walk through demos of all the new MMS features, including provisioning, expanding and contracting a cluster, resizing the oplog, and managing users.

12:00pm - 1:00pm

Lunch

1:00pm - 1:50pm

The Weather of the Century

Jesse Davis, Senior Python Engineer, MongoDB

The weather is everywhere and always. That makes for a lot of data. This talk will walk you through how you can use MongoDB to store and analyze worldwide weather data from the entire 20th century in a graphical application. We’ll discuss loading and indexing terabytes of data in a sharded cluster, and optimizing the schema design for interactive exploration. MongoDB also natively supports geospatial indexing and querying, and it integrates easily with open source visualization tools. You'll earn high-performance techniques for querying and retrieving geospatial data, and how to create a rich visual representation of global weather data using Python, Monary, and Matplotlib.

MongoDB Case Study

Learn from your peers. Developers and operators from the MongoDB community will share experiences building and managing modern applications.

2:00pm - 2:50pm

MongoDB Analytics: Learn Aggregation by Example - Exploratory Analytics and Visualization Using Flight Data

Ron Bennatan, Principal Engineer, JSON Studio

MongoDB is quickly becoming one of the most common data stores in the enterprise and the aggregation framework is a great way to build analytics on MongoDB. Come learn how to use the aggregation framework as well as tooling that uses the aggregation framework for d3 visualization through a set of examples using flight data and see which airports are the busiest, how to figure out which airports serve as hubs, and which routes have the longest delays.

Hardware Provisioning

Chad Tindel, Solution Architect, MongoDB

Some of the most common questions we hear from users relate to capacity planning and hardware choices. How many replicas do I need? Should I consider sharding right away? How much RAM will I need for my working set? SSD or HDD? No one likes spending a lot of cash on hardware and cloud bills can just be as painful. MongoDB is different from traditional RDBMSs in its resource management, so you need to be mindful when deciding on the cluster layout and hardware. In this talk we will review the factors that drive the capacity requirements: volume of queries, access patterns, indexing, working set size, among others. Attendees will gain additional insight as we go through a few real-world scenarios, as experienced with MongoDB Inc customers, and come up with their ideal cluster layout and hardware.

3:00pm - 3:50pm

Methods for Migrating from RDBMS to MongoDB

The relational database has been the foundation of enterprise data management for over thirty years. But the way we build and run applications today, coupled with unrelenting growth in new data sources and growing user loads are pushing relational databases beyond their limits; compelling more and more organizations to migrate to non-relational alternatives, such as MongoDB. In this session, we'll cover best practices, considerations and guidelines for migrating your current relational database to MongoDB.

MongoDB Case Study

Learn from your peers. Developers and operators from the MongoDB community will share experiences building and managing modern applications.

4:00pm - 4:50pm

MongoDB Case Study

Learn from your peers. Developers and operators from the MongoDB community will share experiences building and managing modern applications.

Diagnostics and Debugging

Asya Kamsky, Senior Solutions Architect, MongoDB

You've hit some bottleneck in MongoDB. Now what do you do? How do you figure out what part of your system is causing the problem? MongoDB offers a number of tools for diagnosing performance issues and monitoring areas of your application and infrastructure that may need additional resources or attention. These include mongostat, mongotop, various parts of MMS and mtools. In this talk we will walk through a number of performance scenarios and use these tools to diagnose problems and common (and not so common) pitfalls in your MongoDB cluster.

5:00pm - 5:30pm

MongoDB Roadmap

Asya Kamsky, Senior Solutions Architect, MongoDB

Location

The Westin Copley Place

10 Huntington Avenue
Boston, MA 02116
United States

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