Personal schedule for Vlad Didenko

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8:30am Monday, 07/19/2010

Introduction to Hadoop (the what)

Hadoop
Location: E141/E142

Tags:

Please note: to attend, your registration must include Tutorials.

Aaron Kimball (Cloudera, Inc.)

Average rating:

(3.29, 17 ratings)

Cloudera's Introduction to Hadoop provides a solid foundation for those seeking to understand large scale data processing with MapReduce and Hadoop. This session is appropriate for attendees who are new to Hadoop and are seeking to understand where Hadoop is appropriate and how it fits with existing systems. Read more.

1:30pm Monday, 07/19/2010

Introduction to Hadoop (the how)

Hadoop
Location: E141/E142

Tags:

Please note: to attend, your registration must include Tutorials.

Aaron Kimball (Cloudera, Inc.)

Average rating:

(3.38, 16 ratings)

Cloudera's Introduction to Hadoop provides a solid foundation for those seeking to understand large scale data processing with MapReduce and Hadoop. This session is appropriate for attendees who need to use Hadoop to analyze data with Hadoop's MapReduce paradigm. Read more.

2:30pm Wednesday, 07/21/2010

DB Relay: An Introduction

Products & Services
Location: E142

Tags:

Brian Bruns (DB Relay), Vlad Didenko (self)

Average rating:

(3.50, 2 ratings)

DB Relay is an open source project built around the NGiNX web server platform, providing an HTTP/JSON interface to a variety of database servers. It enables database access without drivers and web application development without middleware. Designed for operational efficiency and ease of maintenance. Read more.

10:00am Friday, 07/23/2010

Practical Concurrency

Tools & Techniques
Location: E145/E146

Tags:

Tim Bray (Google, Inc.)

Average rating:

(4.22, 27 ratings)

Computers are getting wider, not faster. If you want your code to run faster, it has to have some parallelism. This is hard, and threads probably aren't the answer. There is a lot of new concurrency technology on the scene. This talk surveys the 2010 state of the art in tools to empower developers to write concurrent code, and makes some predictions. Read more.

11:00am Friday, 07/23/2010

Hybrid Storage: Local Data, Remote Cloud

Cloud Computing
Location: E145/E146

Tags:

Aahz (Egnyte)

Average rating:

(2.25, 4 ratings)

Egnyte started as a cloud storage provider, but our customers demanded that we provide an easy way to synchronize their local data with the cloud because they wanted to retain control of their data. Come learn how we solved some of the problems of automatic bidirectional synchronization using a CherryPy/Cheetah Python client that runs on Mac, Windows, and Linux. Read more.

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