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NoSQL for the SQL Server Professional

Lynn Langit - Data Wrangler

Tuesday, May 22, 2012 from 9:00 AM to 5:00 PM (PDT)

NoSQL for the SQL Server Professional

Ticket Information

Ticket Type Sales End Price Fee Quantity
General Adminission Ended $99.00 $6.44
Early Bird Ended $49.99 $3.74

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Event Details

About this Course 

In this course you will learn the what, why, how, when and where around non-relational (NoSQL) database technologies.  Here you will understand the different types of NoSQL data storage options that are in popular use now.  These include graph databases, such as Neo4j and Freebase; key-value stores such as DynamoDB and Cassandra, document data stores such as MongoDB and column data stores such as Hadoop.  You will learn about and work with both locally hosted versions of these data stores as well as cloud-based versions.  Importantly, you'll understand when to use which type(s) of data stores to best suit your business requirements.

Course Objectives

1) Understand the capabilities (and limitations) of NoSQL databases
2) See an example of each type of NoSQL database
3) Understand basic query technologies for NoSQL data stores by working with Hadoop (working with MapReduce, Pig and HIVE)
4) Get hands-on experience installing, querying and performing basic administration with MongoDB 

Course Prerequisites

This course is specifically designed for working SQL Server professionals (both developers and DBAs).  Comparative examples (i.e. NoSQL vs. RDBMS) will be used extensively to facilitate faster learning.


Take a look at this 5 minute video to get a preview of the hands-on portion of the class - '5 Minutes to Getting Started with MongoDB'

Have questions about NoSQL for the SQL Server Professional? Contact Lynn Langit - Data Wrangler

When & Where

New Horizons - Anaheim
1900 South State College Boulevard
Anaheim, CA 92806

Tuesday, May 22, 2012 from 9:00 AM to 5:00 PM (PDT)

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Lynn Langit - Data Wrangler

Since leaving Microsoft in Oct 2011, Lynn has been working to help data professionals understand BigData and NoSQL.

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