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17:08

Unleash the Power of HBase Shell

Posted by Jayesh Thakrar  on  Dec 07, 2014

Jayesh Thakrar shows what can be done with irb, how to exploit JRuby-Java integration, and demonstrates how the Shell can be used in Hadoop streaming to perform complex and large volume batch jobs.

47:18

Going Native with Apache Cassandra

Posted by Johnny Miller  on  Jun 18, 2014

In this solutions track talk, sponsored by DataStax, Johnny Miller introduces the Cassandra native protocol, native drivers and CQL, explaining how to query Cassandra without Trift or RPC.

51:26

Scaling Pinterest

Posted by Yash Nelapati, Marty Weiner  on  Dec 30, 2013

Details on Pinterest's architeture, its systems -Pinball, Frontdoor-, and stack - MongoDB, Cassandra, Memcache, Redis, Flume, Kafka, EMR, Qubole, Redshift, Python, Java, Go, Nutcracker, Puppet, etc.

36:51

Graph Computing at Scale

Posted by Matthias Broecheler  on  Dec 27, 2013

Matthias Broecheler discusses graph computing, introducing the Aurelius graph cluster enabling graph computing at scale by building on distributed systems like Cassandra, HBase, and Hadoop.

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.

51:20

Facebook Messages: Backup & Replication Systems on HBase

Posted by Nicolas Spiegelberg  on  Jun 30, 2013

Nicolas Spiegelberg discusses Facebook Messages built on top of HBase, the systems involved and the scaling challenges for handling 500TB of new data per month.

40:27

Cloud Computing at Google

Posted by Randy Shoup  on  Jun 03, 2013

Randy Shoup details some of the pieces forming Google’s technology stack, BigTable, Megastore, Dremel, virtualization, etc. and the design principles of their their cloud-based applications.

23:45

Apache Cassandra Anti Patterns

Posted by Matthew Dennis  on  Feb 22, 2013

Matthew Dennis covers the most common mistakes made with Cassandra that he has noticed being made both in deployment and code.

Spring Data - NoSQL - No Problems...

Posted by Peter Bell  on  Oct 18, 2012

Peter Bell introduces 4 NoSQL categories –Key-Value, Document, Column, Graph - and explains how one can use Spring Data to work with such data stores.

NetApp Case Study

Posted by Kumar Palaniapan and Scott Fleming  on  Jun 01, 2012 1

Kumar Palaniapan and Scott Fleming present how NetApp deals with big data using Hadoop, HBase, Flume, and Solr, collecting and analyzing TBs of log data with Think Big Analytics.

Hadoop and Cassandra, Sitting in a Tree ...

Posted by Jake Luciani  on  May 30, 2012

Jake Luciani introduces Brisk, a Hadoop and Hive distribution using Cassandra for core services and storage, presenting the benefits of running Hadoop in a peer-to-peer masterless architecture.

Keeping Movies Running Amid Thunderstorms!

Posted by Siddharth Anand  on  Apr 13, 2012

Siddharth Anand presents how Netflix’s architecture evolved from a traditional 3-tier configuration to a cloud-based one, detailing the scalability and fault tolerant issues encountered.

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