3 Apr 2015
Speaker: Luke Tillman
Company: DataStax
You’ve heard the talks, followed the tutorials, and done the research. You are a font of Cassandra knowledge. Now it’s time to change the world! (Or at least build something to make your boss happy). In this talk we’ll walk through the process of building KillrVideo, an open source video sharing website where users can upload and share videos, rate them, comment on them, and more. By looking at a real application, we’ll talk about architectural decisions, how the application drives the data model, some pro tips when using the DataStax drivers, and some lessons learned from mistakes made along the way. You’ll leave this session ready to start building your next application (world-changing or otherwise) with Cassandra.
Company: DataStax
You’ve heard the talks, followed the tutorials, and done the research. You are a font of Cassandra knowledge. Now it’s time to change the world! (Or at least build something to make your boss happy). In this talk we’ll walk through the process of building KillrVideo, an open source video sharing website where users can upload and share videos, rate them, comment on them, and more. By looking at a real application, we’ll talk about architectural decisions, how the application drives the data model, some pro tips when using the DataStax drivers, and some lessons learned from mistakes made along the way. You’ll leave this session ready to start building your next application (world-changing or otherwise) with Cassandra.
- 2 participants
- 46 minutes
3 Apr 2015
Speaker: Jon Haddad, Technical Evangelist
Company: DataStax
This sessions covers diagnosing and solving common problems encountered in production, using performance profiling tools. We’ll also give a crash course to basic JVM garbage collection tuning. Attendees will leave with a better understanding of what they should look for when they encounter problems with their in-production Cassandra cluster. This talk is intended for people with a general understanding of Cassandra, but it not required to have experience running it in production.
Company: DataStax
This sessions covers diagnosing and solving common problems encountered in production, using performance profiling tools. We’ll also give a crash course to basic JVM garbage collection tuning. Attendees will leave with a better understanding of what they should look for when they encounter problems with their in-production Cassandra cluster. This talk is intended for people with a general understanding of Cassandra, but it not required to have experience running it in production.
- 3 participants
- 36 minutes
3 Apr 2015
Speaker: Jon Haddad
Company: DataStax
In this session you’ll learn just enough to get started with NoSQL Apache Cassandra and Python, including how to install, build and try out some basic API calls. You’ll learn the basics of how to code your first application in Python on top of Cassandra, and leave the session feeling confident and excited to take the next step!
Company: DataStax
In this session you’ll learn just enough to get started with NoSQL Apache Cassandra and Python, including how to install, build and try out some basic API calls. You’ll learn the basics of how to code your first application in Python on top of Cassandra, and leave the session feeling confident and excited to take the next step!
- 1 participant
- 19 minutes
3 Apr 2015
Speaker: Luke Tillman
Company: DataStax
Relational systems have always been built on the premise of modeling relationships. As you will see, static schema, one-to-one, many-to-many still have a place in Cassandra. From the familiar, we’ll go into the specific differences in Cassandra and tricks to make your application fast and resilient.
Company: DataStax
Relational systems have always been built on the premise of modeling relationships. As you will see, static schema, one-to-one, many-to-many still have a place in Cassandra. From the familiar, we’ll go into the specific differences in Cassandra and tricks to make your application fast and resilient.
- 6 participants
- 47 minutes
1 Apr 2015
Speaker: J.B. Langston
Company: DataStax
I’ll give a general lay of the land for troubleshooting Cassandra. I’ll show you what to look for in the logs, what Cassandra, Java, and Linux commands are useful for troubleshooting, and touch on a few common performance bottlenecks and how to check for them.
Company: DataStax
I’ll give a general lay of the land for troubleshooting Cassandra. I’ll show you what to look for in the logs, what Cassandra, Java, and Linux commands are useful for troubleshooting, and touch on a few common performance bottlenecks and how to check for them.
- 2 participants
- 1:05 hours
31 Mar 2015
Speaker: Amit Khare, NoSQL Architect
Company: BetterCloud
BetterCloud works on Insights, Security and Management for cloud office platforms like Google Apps and Office 365. In order to support large data sets with no impact to data retrieval and data ingestion performance, we are using Cassandra as the Data Storage engine to serve our Customers across the globe.
Company: BetterCloud
BetterCloud works on Insights, Security and Management for cloud office platforms like Google Apps and Office 365. In order to support large data sets with no impact to data retrieval and data ingestion performance, we are using Cassandra as the Data Storage engine to serve our Customers across the globe.
- 2 participants
- 16 minutes
31 Mar 2015
Speaker: Joseph Streeky, Manager of Search Framework
Company: Career Builder
Today we use Cassandra along with RabbitMQ and Sinatra to feed 5,000 documents a second across our 600 solr instances. We will talk about how we manage a 21 node, 59 TB Cassandra ring and how we use this to send updates to all of our Solr clusters. We have setups in both our private datacenter and AWS.
Company: Career Builder
Today we use Cassandra along with RabbitMQ and Sinatra to feed 5,000 documents a second across our 600 solr instances. We will talk about how we manage a 21 node, 59 TB Cassandra ring and how we use this to send updates to all of our Solr clusters. We have setups in both our private datacenter and AWS.
- 2 participants
- 17 minutes
31 Mar 2015
Speaker: Ian Rose, Software Engineer at FullStory
Company: FullStory
FullStory is like a DVR for the web. An in-page script captures everything that happens during a user's online session, with the ability to play it back later with high-fidelity. In this talk I'll describe how we use Cassandra, starting with the initial requirements and our resulting schema design (including both good and bad choices there), and following up with some highlights of our experience as well as future plans.
Company: FullStory
FullStory is like a DVR for the web. An in-page script captures everything that happens during a user's online session, with the ability to play it back later with high-fidelity. In this talk I'll describe how we use Cassandra, starting with the initial requirements and our resulting schema design (including both good and bad choices there), and following up with some highlights of our experience as well as future plans.
- 1 participant
- 18 minutes
31 Mar 2015
Speaker: Nate McCall, Co-Founder
Company: The Last Pickle
Adding a new technology to your development process can be challenging, and the distributed nature of Apache Cassandra can make it daunting. However the drivers, utilities and tooling now available for Apache Cassandra make this process as familiar as possible to developers, with a few minor caveats. After all, it is still a distributed system.
In this presentation, we will do several quick iterations through a simple Java project, demonstrating the following:
• Creating and modifying a data model
• Writing some code working with this model
• Using your local environment for single and multi-node cluster tests
• Integration testing with Jenkins
• Sending it off to production
New and existing users will leave this presentation with the necessary knowledge to make their next Apache Cassandra-based project a success.
Company: The Last Pickle
Adding a new technology to your development process can be challenging, and the distributed nature of Apache Cassandra can make it daunting. However the drivers, utilities and tooling now available for Apache Cassandra make this process as familiar as possible to developers, with a few minor caveats. After all, it is still a distributed system.
In this presentation, we will do several quick iterations through a simple Java project, demonstrating the following:
• Creating and modifying a data model
• Writing some code working with this model
• Using your local environment for single and multi-node cluster tests
• Integration testing with Jenkins
• Sending it off to production
New and existing users will leave this presentation with the necessary knowledge to make their next Apache Cassandra-based project a success.
- 2 participants
- 37 minutes
