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42:17

SQL on Hadoop - Pros, Cons, the Haves and Have Nots

Posted by Ted Dunning  on  Nov 16, 2014 1

Ted Dunning discusses the different options for running SQL on Hadoop including pros and cons.

50:08

An Introduction to Spring Data

Posted by Frank Moley  on  Oct 05, 2014

Frank Moley introduces Spring Data and how to use it for applications connected to either RDBMS or NoSQL databases.

34:14

How Shutl Delivers Even Faster Using Neo4J

Posted by Volker Pacher, Sam Phillips  on  Sep 19, 2014

Volker Pacher, Sam Phillips present key differences between relational databases and graph databases, and how they use the later to model a complex domain and to gain insights into their data.

44:43

A Big Data Arsenal for the 21st Century

Posted by Matt Asay  on  Jun 12, 2014 2

In this solutions track talk, sponsored by MongoDB, Matt Asay discusses the differences between some of the NoSQL and SQL databases and when Hadoop makes sense to be used with a NoSQL solution.

40:20

The Microsoft Cloud OS Data Platform

Posted by Anthony Saxby  on  Jun 07, 2014

Anthony Saxby introduces the new capabilities added to SQL Server, SQL Server PDW and HDInsight in the first half of 2014.

01:27:57

Making Java Groovy

Posted by Ken Kousen  on  Jan 31, 2014

Ken Kousen advises Java developers how to do similar tasks in Groovy: building and testing applications, accessing both relational and NoSQL databases, accessing web services, and more.

01:28:08

Deploying, Scaling, and Running Grails on AWS and VPC

Posted by Ryan Vanderwerf  on  Jan 24, 2014

Ryan Vanderwerf explains how to create and deploy a Grails application on AWS VPC using various services such as RDS, S3, autoscaling, S3FS, EBS, etc.

39:22

Spanner - Google's Distributed Database

Posted by Sebastian Kanthak  on  Nov 25, 2013

Sebastian Kanthak details how Spanner relies on GPS and atomic clocks to provide two of its innovative features: Lock-free strong reads and global snapshots consistent with external events.

01:17:25

Working with Databases and Groovy

Posted by Paul King  on  Nov 24, 2013 2

Paul King presents working with databases in Groovy, covering datasets, GMongo, Neo4J, raw JDBC, Groovy-SQL, CRUD, Hibernate, caching, Spring Data technologies, etc.

41:00

One to Many: The Story of Sharding at Box

Posted by Tamar Bercovici  on  Nov 17, 2013 3

Tamar Bercovici presents Box’s transition from a single MySQL database to a fully sharded MySQL architecture, all the while serving 2 billion queries per day.

44:36

MySQL Usage of Web Applications with 1 User and 100 Million

Posted by Peter Boros  on  Oct 06, 2013

Peter Boros discusses a MySQL architecture useful for the majority of projects, backup, online schema changes, reliability and scalability issues, and basics of sharding.

43:34

Core.logic and SQL Killed my ORM

Posted by Craig Brozefsky  on  Aug 15, 2013 1

Craig Brozefsky presents the tradeoffs involved with moving to a purely SQL relational model, instead of using an ORM, along with some of the tools built to facilitate this.

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