MongoDB DC Workshops 2014

MongoDB DC Workshops 2014

October 13th

MongoDB Workshops

We are offering three in-depth, hands-on MongoDB workshops the day before MongoDB DC. 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 a Advanced Data Modeling, Diagnostics and Debugging, or Modeling Social Data workshop.

MongoDB DC Admission

Workshop tickets do not include admission to MongoDB DC. Make sure to choose a ticket option that includes the conference, if you wish to attend.

Expectations

Since the workshops are short, participants should have MongoDB and necessary drivers installed prior to class. Participants arriving more than 20 minutes late will not be allowed to join.

Cancellation Policy

Class fees are not refundable, creditable, or transferable 48 hours prior to the start of the class.

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Schedule

Track 1 Track 2 Track 3
8:30am - 9:00am

Breakfast and Morning Session Registration

9:00am - 12:30pm

MongoDB and Hadoop

MongoDB powers applications as an operational database and Hadoop delivers intelligence as with powerful analytical infrastructure. In this workshop students will learn how these technologies fit together with the MongoDB Connector for Hadoop. We will cover reading/writing MongoDB data using MapReduce, Pig, Hive, and Spark. We will also discuss the broader data ecosystem and operational considerations.

Advanced Data Modeling

Advanced Data Modeling Training will enhance your understanding of the document model in MongoDB through various schema design exercises. We will explore the techniques and patterns used to create a scalable and performant data model in MongoDB. Students will learn to use MongoDB's rich set of operators and options for updating and inserting documents and managing document growth and movement on disk. We will also consider data models in the context of indexing, read preference and write concern, and designing effective shard keys.

Diagnostics and Debugging

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 workshop 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.

12:30pm - 2:00pm

Lunch and Afternoon Session Registration

2:00pm - 5:30pm

MongoDB and Hadoop

MongoDB powers applications as an operational database and Hadoop delivers intelligence as with powerful analytical infrastructure. In this workshop students will learn how these technologies fit together with the MongoDB Connector for Hadoop. We will cover reading/writing MongoDB data using MapReduce, Pig, Hive, and Spark. We will also discuss the broader data ecosystem and operational considerations.

Advanced Data Modeling

Advanced Data Modeling Training will enhance your understanding of the document model in MongoDB through various schema design exercises. We will explore the techniques and patterns used to create a scalable and performant data model in MongoDB. Students will learn to use MongoDB's rich set of operators and options for updating and inserting documents and managing document growth and movement on disk. We will also consider data models in the context of indexing, read preference and write concern, and designing effective shard keys.

Diagnostics and Debugging

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 workshop 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.

Location

Washington, DC 20001
United States

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