8 May 2014
See the full post here: http://www.hakkalabs.co/articles/netflixs-optimistic-design-for-eventual-consistency-model
In this talk, Christos Kalantzis (Cloud Persistence Engineering Manager, Netflix), explains why he believes companies should adopt an Optimistic Software Design model that is similar to what is used at Netflix. This is a practical talk with strategies for implementing the design model, testing for eventual consistency, and convincing your organization that it's the right move.
This talk was given at Cassandra Day Silicon Valley 2014.
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
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Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
In this talk, Christos Kalantzis (Cloud Persistence Engineering Manager, Netflix), explains why he believes companies should adopt an Optimistic Software Design model that is similar to what is used at Netflix. This is a practical talk with strategies for implementing the design model, testing for eventual consistency, and convincing your organization that it's the right move.
This talk was given at Cassandra Day Silicon Valley 2014.
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
- 4 participants
- 26 minutes
2 May 2014
Check out the full post for more information: http://www.hakkalabs.co/articles/bad-data-model
Matt Stump (Solutions Architect, DataStax) talks basic operations with Apache Cassandra. Tune-in to learn more about heap settings, sizing for latency and ops, shared storage, tuning SSD, and other important considerations.
This talk was given at Cassandra Day Silicon Valley 2014.
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
Matt Stump (Solutions Architect, DataStax) talks basic operations with Apache Cassandra. Tune-in to learn more about heap settings, sizing for latency and ops, shared storage, tuning SSD, and other important considerations.
This talk was given at Cassandra Day Silicon Valley 2014.
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
- 4 participants
- 41 minutes
2 May 2014
Check out the full post for more information: http://www.hakkalabs.co/articles/spark-shark-cassandra-data
Evan Chan (Software Engineer, Ooyala), describes his experience using the Spark and Shark frameworks for running real-time queries on top of Cassandra data. He starts by surveying the Cassandra analytics landscape, including Hadoop and HIVE, and touches on the use of custom input formats to extract data from Cassandra. Then, he dives into Spark and Shark (two memory-based cluster computing frameworks) and explains how they enable often dramatic improvements in query speed and productivity.
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
Evan Chan (Software Engineer, Ooyala), describes his experience using the Spark and Shark frameworks for running real-time queries on top of Cassandra data. He starts by surveying the Cassandra analytics landscape, including Hadoop and HIVE, and touches on the use of custom input formats to extract data from Cassandra. Then, he dives into Spark and Shark (two memory-based cluster computing frameworks) and explains how they enable often dramatic improvements in query speed and productivity.
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
- 1 participant
- 32 minutes
1 May 2014
Check out the full post for more information: http://www.hakkalabs.co/articles/millions-concurrent-sessions-distributed-session-clusters-cassandra-shiro
In this session Les Hazlewood (Co-Founder and CTO of Stormpath), describes Shiro's enterprise session management capabilities and how to use Cassandra as Shiro's session store, enabling a distributed session cluster supporting hundreds of thousands or even millions of concurrent sessions. As a working example, Les will show how to set up a session cluster in under 10 minutes using Cassandra. Watch this if you need to scale user session load.
This talk was given at Cassandra Day Silicon Valley.
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
In this session Les Hazlewood (Co-Founder and CTO of Stormpath), describes Shiro's enterprise session management capabilities and how to use Cassandra as Shiro's session store, enabling a distributed session cluster supporting hundreds of thousands or even millions of concurrent sessions. As a working example, Les will show how to set up a session cluster in under 10 minutes using Cassandra. Watch this if you need to scale user session load.
This talk was given at Cassandra Day Silicon Valley.
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
- 1 participant
- 30 minutes
30 Apr 2014
Read the full post here: http://www.hakkalabs.co/articles/kiji-cassandra
The Kiji Project is a modular, open-source framework that enables developers to efficiently build real-time Big Data applications. Kiji is built upon popular open-source technologies such as Cassandra, HBase, Hadoop, and Scalding, and contains components that implement functionality critical for Big Data applications.
In this talk, Clint Kelly (WibiData) discusses:
- The Kiji architecture and data model
- Implementing the Kiji data model in Cassandra using the Java driver and CQL3
- Integrating Cassandra with Hadoop 2.x
- Building a flexible middleware platform that supports Cassandra and HBase (including projects that use both simultaneously)
- Exposing unique features of Cassandra (e.g., variable consistency) to Kiji users
This talk was given at Cassandra Day Silicon Valley.
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
The Kiji Project is a modular, open-source framework that enables developers to efficiently build real-time Big Data applications. Kiji is built upon popular open-source technologies such as Cassandra, HBase, Hadoop, and Scalding, and contains components that implement functionality critical for Big Data applications.
In this talk, Clint Kelly (WibiData) discusses:
- The Kiji architecture and data model
- Implementing the Kiji data model in Cassandra using the Java driver and CQL3
- Integrating Cassandra with Hadoop 2.x
- Building a flexible middleware platform that supports Cassandra and HBase (including projects that use both simultaneously)
- Exposing unique features of Cassandra (e.g., variable consistency) to Kiji users
This talk was given at Cassandra Day Silicon Valley.
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
- 1 participant
- 35 minutes
29 Apr 2014
In this his C* Summit talk, Patrick McFadin shows top data models for three common CQL use cases: user activity, log collection, and form versioning.
Check out the full post for more details: http://www.hakkalabs.co/articles/tech-talk-top-3-cql-data-models
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
Check out the full post for more details: http://www.hakkalabs.co/articles/tech-talk-top-3-cql-data-models
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
- 11 participants
- 1:07 hours
29 Apr 2014
Check out the full Cassandra Week post here: http://www.hakkalabs.co/articles/hulu-scales-cassandra-redis-ssd
Hulu must scale web services to meet the demands of an ever growing number of users. During this talk, Matt Jurik discusses the initial use case for Cassandra at Hulu: the video progress tracking service known as HUGETOP. While Cassandra provides a fantastic platform on which to build scalable applications, there are some dark corners of which to be cautious. We will provide a walk-through of hugetop and some design decisions that went into the hugetop keyspace, our hardware choices, and our experiences operating Cassandra in a high-traffic environment.
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
Hulu must scale web services to meet the demands of an ever growing number of users. During this talk, Matt Jurik discusses the initial use case for Cassandra at Hulu: the video progress tracking service known as HUGETOP. While Cassandra provides a fantastic platform on which to build scalable applications, there are some dark corners of which to be cautious. We will provide a walk-through of hugetop and some design decisions that went into the hugetop keyspace, our hardware choices, and our experiences operating Cassandra in a high-traffic environment.
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
- 3 participants
- 39 minutes
28 Apr 2014
Al Tobey (Open Source Mechanic, DataStax) argues that avoiding read/modify/write makes it easier to scale high-performance storage. This talk was given at Cassandra Day Silicon Valley 2014.
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
- 3 participants
- 37 minutes
28 Apr 2014
Check out the full post here: http://www.hakkalabs.co/articles/cassandra-data-modeling-talk
In this talk, Patrick McFadin (Chief Evangelist for Apache Cassandra, DataStax) breaks down topics like storing objects, indexing for fast retrieval, and the application life cycle.
This talk was given at Cassandra Day Silicon Valley 2014.
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
In this talk, Patrick McFadin (Chief Evangelist for Apache Cassandra, DataStax) breaks down topics like storing objects, indexing for fast retrieval, and the application life cycle.
This talk was given at Cassandra Day Silicon Valley 2014.
ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for more videos, including DC_THURS, our series of live online interviews with leading data professionals from top open source projects and startups.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Eventbrite: https://www.eventbrite.com/o/data-council-30357384520
- 3 participants
- 43 minutes
