Session: Lightning Talk #10 - Node.js and Cassandra
Speaker: Russell Bradury (SimpleReach)

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Session: Lightning Talk #9 - How to write SQL Against Apache Cassandra
Speaker: Peter Evans (Quest)

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Session: Lightning Talk #8 - Astyanax Hector's Smart-ass Son
Speaker: Eran Landau (Netflix)

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Session: Lightning Talk #7 - Upcoming Changes in Drivers
Speaker: Michael Figuere (DataStax)

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Session: Lightning Talk #6 - Reporting and Analytics on Cassandra
Speaker: Matthew Dahlman (Jaspersoft)

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Session: Lightning Talk #5 - Cassandra on ACID
Speaker: DeWayne Filppi (GigaSpaces)

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Session: Lightning Talk #4 - DataStax Enterprise
Speaker: Robin Schumacher (DataStax)

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Session: Lightning Talk #3 - How to Scale MongoDB
Speakers: Ed Anuff and Nate McCall (Apigee)

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Session: Lightning Talk #2 - M2M with Cassandra
Speaker: Subu Balakrishnan (Aeris Communications)

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Session: Lightning Talk #1 - From Data to Insights
Speaker: Mihail Mihaylov (Actuate)

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Session: Why Architecture Matters (No, Really)
Speaker: Rick Branson (Instagram)

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Session: We Messed Up So You Don't Have to
Speakers: Matt Pfeil (DataStax) featuring Matt Dennis (DataStax), Jason Brown (Netflix), Lee Parker (Spredfast), and Ed Capriolo (m6d)

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Session: Virtual Nodes -- Operational Aspirin
Speaker: Sam Overton (Acunu)
Description: This talk will explain the concept and implementation of virtual nodes in Cassandra, and the numerous benefits it brings. We will show you how virtual nodes make token management a thing of the past, improves the failure characteristics, improves bootstrapping and decommission speed, make incremental cluster growing and shrinking possible, and much more.

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Session: Using Cassandra in an S3 Cloud Storage System
Speaker: Gary Ogasawara (Gemini Mobile)
Description: Cloudian is a cloud storage software package that is compatible with Amazon's S3 API. This allows existing applications that use Amazon S3 to simply be re-pointed to a Cloudian system. Beyond the basic object GET/PUT/DELETE functionality, fully compatible S3 APIs include ACL (access control lists), accounting, multi-part uploads, object versioning, multi-regions (location constraint), and more. Cassandra is used in multiple ways, but most notably, for its distributed systems algorithms for data partitioning, replication, and node membership. Actual storage of objects is done on file system based on the Cassandra algorithms for distributed data management. In addition, Cassandra is used for object metadata, transaction and reporting data, and user and group data. Cloudian is currently in active production use at cloud service providers (CSPs) and enterprises in Japan, US, and Europe.

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Session: Unlocking the Value of Big Data
Speakers: Matt Pfeil (DataStax), Patrick McFadin (Hobsons), Matt Stump (Source Ninja), Eddie Satterly (Splunk)

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Session: Titan: Big Graph Data with Cassandra
Speaker: Matthias Broecheler, Aurelius

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Session: Techincal Deep Dive: Secondary Indexes
Speaker: Christian Romming (VigLink)
Description: This talk discusses the custom indexing technique that is used to power VigLink's analytics dashboard. It is similar to Cassandra's built-in secondary indexing, but also supports efficient range queries. We'll also cover pitfalls around scaling this technique to high write throughputs.

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Session: Technical Deep Dive: Query Performance
Speaker: Aaron Morton (Apache Cassandra Committer)
Description: Ever wondered how to make Cassandra faster? In this talk, Aaron Morton will step through the impact different configuration settings, data models and query types have on read and write performance.

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Session: Technical Deep Dive: Data Modeling
Speaker: Matt Dennis (DataStax)
Description: Cassandra stores data fundamentally differently than traditional RDBMS. These differences allow for vast improvements in performance, availability and scalability, but in order to achieve the gains one must understand the differences. This talk covers a Cassandra solution to a problem often believed to only be solvable in a strictly ACID compliant system. The focus of the solution is on the data model and the interactions with it to achieve scalability, availability and performance at scale.

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Session: Technical Deep Dive: Cassandra + Solr
Speaker: Jason Rutherglen (Think Big Analytics)

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Session: Take Any App to the Cloud of Your Choice
Speaker: Uri Cohen
Description: The massive computing and storage resources that are needed to support big data applications make cloud environments an ideal fit. Now more than ever, there is a growing number of choices of cloud infrastructure providers, from Amazon AWS, OpenStack offered by the likes of HP, Rackspace and soon even Dell, VMware vCloud as well as private cloud offerings based on OpenStack, CloudStack, vCloud, and more. There is also a new class of bare-metal clouds from SoftLayer and PistonCloud that provide high performance resources designed for I/O and CPU intensive applications that don't run as well on a virtualized resources. The recent announcements by Google & Microsoft about their new infrastructure as a service offerings, add additional significant players to this growing marketplace.

Given the diverse options, and the dynamic environments involved, it becomes ever more important to maintain the flexibility to choose the right cloud for the job.

In this session, you'll learn how to deploy and manage a Cassandra cluster on any Cloud, as well as manage the rest of your big data application stack using a new open source framework called "Cloudify." (Visit cloudifysource.org)

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Session: Servers Fail, Who Cares?
Speaker: Gregg Ulrich (Netflix)

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Session: Moving at the Speed of Markets
Speaker: Gyan Aggarwal, Triple Point Technology
Description: Our application is a Commodity Trading platform where market data changes very frequently. The actual value change can be in a few columns of only some of the column families but it has a very wide impact in the valuation of trades where most of the relevant columns are computed.

This framework has been developed to implement some of the core functionality of an application that has to process a very large volume of data every day and it also performs some very complex computations. It has to access data from many column families to perform its complex computation. It runs a batch process on very large volume of data and here speed of process is of essence.

Cassandra proved to a natural and cost-effective platform to implement this kind of application. It is natural because it is column-oriented persistent store. Although, it can be daunting task a developer to implement a complex application using Cassandra API. This framework addresses this same issue by encapsulating the Cassandra API complexity into a very simple framework API. This framework also implements one-to-one and one-to-many secondary index column family pattern.

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Session: Increasing Your Prospects: Cassandra in Online Advertising
Speaker: Ed Capriolo (M6D)
Description: This presentation explores how M6D (Media6Degrees) leverages it's capabilities by:
- using Cassandra with stream processing as an alternative to batch based ETL processes
- leveraging the ColumnFamily data model to support both static data with fixed column names as well as dynamic data where columns where entries are optionally tagged with columns
- utilizing Cassandra's built in validators to verify data on insert and type system to store data and access data efficiently
- optimize with build in compression to drastically reduce disk usage space while increasing performance
- benefiting from Cassandra's consistency and fault tolerance which ease administrative burden

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Session: Hastur: Open-Source Scalable Metrics with Cassandra
Speaker: Noah Gibbs (Ooyala)
Description: Ooyala recently open-sourced the Hastur monitoring system, backed by Cassandra. We present our Read-Write-Modify-free Cassandra schema for high-volume, variable-size time series data and how we use Btrfs LZO compression on disk to improve both storage space and retrieval time. We also describe the ZeroMQ routing architecture for our metrics, how scaling and fault-tolerance are guaranteed, and future directions for our work.

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Tyler Hobbs - Making Cassandra Operations Easy with DataStax OpsCenter

DataStax, the commercial leader in Apache Cassandra™, along with the NYC Cassandra User Group, NoSQL NYC, and Big Data NYC joined together to present the first Cassandra New York City conference on December 6, 2011.

DataStax offers products and services based on the popular open-source database, Apache Cassandra™ that solve today's most challenging big data problems. DataStax Enterprise (DSE) combines the performance of Cassandra with analytics powered by Apache Hadoop™, creating a smartly integrated, data-centric platform. With DSE, real-time and analytic workloads never conflict, giving you maximum performance with the added benefit of only managing a single database. The company has over 100 customers, including leaders such as Netflix, Cisco, Rackspace and Constant Contact, and spanning verticals including web, financial services, telecommunications, logistics and government. DataStax is backed by industry leading investors, including Lightspeed Venture Partners and Crosslink Capital and is based in San Mateo, CA.

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Tyler Hobbs - Flexibility: Python Clients for Apache Cassandra

DataStax, the commercial leader in Apache Cassandra™, along with the NYC Cassandra User Group, NoSQL NYC, and Big Data NYC joined together to present the first Cassandra New York City conference on December 6, 2011.

DataStax offers products and services based on the popular open-source database, Apache Cassandra™ that solve today's most challenging big data problems. DataStax Enterprise (DSE) combines the performance of Cassandra with analytics powered by Apache Hadoop™, creating a smartly integrated, data-centric platform. With DSE, real-time and analytic workloads never conflict, giving you maximum performance with the added benefit of only managing a single database. The company has over 100 customers, including leaders such as Netflix, Cisco, Rackspace and Constant Contact, and spanning verticals including web, financial services, telecommunications, logistics and government. DataStax is backed by industry leading investors, including Lightspeed Venture Partners and Crosslink Capital and is based in San Mateo, CA.

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Session: End-to-end Analytic Workflows With Cassandra
Speaker: Jeremy Hanna (DataStax)
Description: As more data is stored in Cassandra, performing batch oriented analytics over that data becomes increasingly valuable. Users may want to perform data validation, discover trends, evolve their Cassandra data model, or just generally explore their data. This presentation will be an overview of how to use tools such as Pig, Mahout and Oozie with Cassandra to create non-trivial analytic workflows. It will draw on experience and lessons learned building end-to-end analytic workflows in a production environment at The Dachis Group.

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Session: CQL, and the Road to Redemption
Speaker: Eric Evans (Acunu)
Description: A number of technologies have emerged in recent years to address the difficulties of storage in an increasingly data-rich world. A side-effect of this license-to-reimagine however, is that each of these so-called NoSQL technologies have also reimagined the way that developers access data. Too often though, these bespoke query interfaces eschew the lessons of the past to differentiate, and usability suffers.

CQL (Cassandra Query Language), is an SQL-alike query language for Apache Cassandra. It provides a high-level query interface based on a time-honored standard that most developers should feel right at home with. This talk will cover the motivation for CQL, the history of it's development, and will provide a brief introduction to the latest incarnation, CQL3.

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Robin Schumacher - Cassandra: The Foundation of Today's Enterprise Data Stack

Robin Schumacher is Vice President of Products for DataStax. Robin has over 20 years experience working with databases and Big Data, was the database software reviewer for several IT magazines, and has authored three database performance books. Prior to joining DataStax, Robin started and led the product management teams at MySQL, EnterpriseDB, and Embarcadero Technologies.

DataStax, the commercial leader in Apache Cassandra™, along with the NYC Cassandra User Group, NoSQL NYC, and Big Data NYC joined together to present the first Cassandra New York City conference on December 6, 2011.

DataStax offers products and services based on the popular open-source database, Apache Cassandra™ that solve today's most challenging big data problems. DataStax Enterprise (DSE) combines the performance of Cassandra with analytics powered by Apache Hadoop™, creating a smartly integrated, data-centric platform. With DSE, real-time and analytic workloads never conflict, giving you maximum performance with the added benefit of only managing a single database. The company has over 100 customers, including leaders such as Netflix, Cisco, Rackspace and Constant Contact, and spanning verticals including web, financial services, telecommunications, logistics and government. DataStax is backed by industry leading investors, including Lightspeed Venture Partners and Crosslink Capital and is based in San Mateo, CA.

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Session: Columns Enough and Time -- Using Cassandra for a Time Series Analytical Repository
Speaker: John Akred
Description: Time series data is abundant. Machine logs, process sensors, user chats, short broadcast messages and news stories all share that important dimension -- time. Existing solutions for storing and managing time series data include data historians, file-based approaches and use of relational systems, but none of these posses the desired scaling, access pattern and use case support, and cost properties that would truly unlock the potential of these vast data streams. Many of the opportunities in that data must be enabled by analytics that are not effectively enabled on current platforms. We show how our work at Accenture Technology Labs demonstrates that Cassandra effectively supports the time series storage, processing and analytical workloads and discuss how it compares to alternate approaches from a scaling, cost and use-case perspective.

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Nathan Milford - Cassandra for System Admins

Nathan Milford (@NathanMilford) is an Operations Engineer / Systems Administrator / Site Reliability Engineer at Outbrain. Nathan is Interested in large data projects, scalable architectures, and open source. In his spare time, Nathan is a photographer and practitioner of Jiu Jitsu and Muay Thai. You can follow his blog at : http://blog.milford.io/

DataStax, the commercial leader in Apache Cassandra™, along with the NYC Cassandra User Group, NoSQL NYC, and Big Data NYC joined together to present the first Cassandra New York City conference on December 6, 2011.

DataStax offers products and services based on the popular open-source database, Apache Cassandra™ that solve today's most challenging big data problems. DataStax Enterprise (DSE) combines the performance of Cassandra with analytics powered by Apache Hadoop™, creating a smartly integrated, data-centric platform. With DSE, real-time and analytic workloads never conflict, giving you maximum performance with the added benefit of only managing a single database. The company has over 100 customers, including leaders such as Netflix, Cisco, Rackspace and Constant Contact, and spanning verticals including web, financial services, telecommunications, logistics and government. DataStax is backed by industry leading investors, including Lightspeed Venture Partners and Crosslink Capital and is based in San Mateo, CA.

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Nathan Marz - The Storm and Cassandra Realtime Computation Stack

Nathan Marz (@nathanmarz) is currently employed at Twitter as the lead engineer for the Storm Project. In Nathan's own words: Storm is a distributed, reliable, and fault-tolerant stream processing system. Its use cases are so broad that we consider it to be a fundamental new primitive for data processing. That's why we call it the Hadoop of realtime: it does for realtime processing what Hadoop does for batch processing. Storm is of particular value for stream processing, continuous computation, and distributed RPC. Read more about Nathan's work at his blog: Thoughts from a Red Planet.

DataStax, the commercial leader in Apache Cassandra™, along with the NYC Cassandra User Group, NoSQL NYC, and Big Data NYC joined together to present the first Cassandra New York City conference on December 6, 2011.

DataStax offers products and services based on the popular open-source database, Apache Cassandra™ that solve today's most challenging big data problems. DataStax Enterprise (DSE) combines the performance of Cassandra with analytics powered by Apache Hadoop™, creating a smartly integrated, data-centric platform. With DSE, real-time and analytic workloads never conflict, giving you maximum performance with the added benefit of only managing a single database. The company has over 100 customers, including leaders such as Netflix, Cisco, Rackspace and Constant Contact, and spanning verticals including web, financial services, telecommunications, logistics and government. DataStax is backed by industry leading investors, including Lightspeed Venture Partners and Crosslink Capital and is based in San Mateo, CA.

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Session: Changing the Game: Cassandra + Solr
Speaker: Matt Stump (SourceNinja)
Description: Most NOSQL solutions force you to give up ad-hoc queries, and the force the developer to write code to maintain indexes and perform basic search. Datastax Enterprise solves this problem with the integration of SOLR. SOLR integration provides provides robust, scalable, indexing, and searching, allowing your team to write less code and focus on what really matters.

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Nate McCall - Java and Big Data with Apache Cassandra

Nate McCall currently works as evangelist and software developer for DataStax. He is also the lead developer and release manager of the Hector client for Apache Cassandra. Nate has over 11 years of server side systems and software development experience in such industries as news and entertainment, on-line gaming and advertising. In his talk, Nate will provide a brief introduction and overview of key Apache Cassandra concepts such as idempotence, tunable consistency, and shared-nothing clusters all through the process of creating a simple application.

DataStax, the commercial leader in Apache Cassandra™, along with the NYC Cassandra User Group, NoSQL NYC, and Big Data NYC joined together to present the first Cassandra New York City conference on December 6, 2011.

DataStax offers products and services based on the popular open-source database, Apache Cassandra™ that solve today's most challenging big data problems. DataStax Enterprise (DSE) combines the performance of Cassandra with analytics powered by Apache Hadoop™, creating a smartly integrated, data-centric platform. With DSE, real-time and analytic workloads never conflict, giving you maximum performance with the added benefit of only managing a single database. The company has over 100 customers, including leaders such as Netflix, Cisco, Rackspace and Constant Contact, and spanning verticals including web, financial services, telecommunications, logistics and government. DataStax is backed by industry leading investors, including Lightspeed Venture Partners and Crosslink Capital and is based in San Mateo, CA.

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Session: Cassandra Performance and Scalability on AWS
Speaker: Adrian Cockcroft (Netflix)
Description: Netflix published a Cassandra scalability benchmark in 2011 that showed linear scalability as the number of nodes in the cluster was increased from 48 to 288 and over a million triple replicated writes per second. This talk will summarize a range of new benchmarks that take advantage of more powerful EC2 instances and improvements in Cassandra itself.

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Matt Dennis - Data Modeling Workshop

Matt has been with DataStax since the beginning and currently focuses on high level architecture, design, data models, deployment and algorithms for some of the largest, highest volume and most fault tolerant distributed systems in the world. Prior to DataStax, Matt held various technical leadership and principal development roles at Crossroads Systems and Troux Technologies and even spent time as a System Administrator in a former life. Matt studied Computer Science and Software Engineering at the University of Texas at Austin in the College of Natural Sciences and the College of Engineering respectively.

DataStax, the commercial leader in Apache Cassandra™, along with the NYC Cassandra User Group, NoSQL NYC, and Big Data NYC joined together to present the first Cassandra New York City conference on December 6, 2011.

DataStax offers products and services based on the popular open-source database, Apache Cassandra™ that solve today's most challenging big data problems. DataStax Enterprise (DSE) combines the performance of Cassandra with analytics powered by Apache Hadoop™, creating a smartly integrated, data-centric platform. With DSE, real-time and analytic workloads never conflict, giving you maximum performance with the added benefit of only managing a single database. The company has over 100 customers, including leaders such as Netflix, Cisco, Rackspace and Constant Contact, and spanning verticals including web, financial services, telecommunications, logistics and government. DataStax is backed by industry leading investors, including Lightspeed Venture Partners and Crosslink Capital and is based in San Mateo, CA.

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Martin Stone - Deep Visibility into Apache Cassandra with AppDynamics

DataStax, the commercial leader in Apache Cassandra™, along with the NYC Cassandra User Group, NoSQL NYC, and Big Data NYC joined together to present the first Cassandra New York City conference on December 6, 2011.

DataStax offers products and services based on the popular open-source database, Apache Cassandra™ that solve today's most challenging big data problems. DataStax Enterprise (DSE) combines the performance of Cassandra with analytics powered by Apache Hadoop™, creating a smartly integrated, data-centric platform. With DSE, real-time and analytic workloads never conflict, giving you maximum performance with the added benefit of only managing a single database. The company has over 100 customers, including leaders such as Netflix, Cisco, Rackspace and Constant Contact, and spanning verticals including web, financial services, telecommunications, logistics and government. DataStax is backed by industry leading investors, including Lightspeed Venture Partners and Crosslink Capital and is based in San Mateo, CA.

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Jonathan Ellis, DataStax CTO and Apache Project Chair of Cassandra, talks about what's new in Cassandra 1.0. He also gives a glimpse into what the future holds. Jonathan is CTO and co-founder at DataStax (formerly Riptano). Prior to DataStax, Jonathan worked extensively with Apache Cassandra while employed at Racksace. Prior to Rackspace, Jonathan built a multi-petabyte, scalable storage system based on Reed-Solomon encoding for backup provider Mozy.

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Session: Cassandra in Rackspace Cloud Monitoring
Speaker: Russell Haering (Rackspace)
Description: Rackspace Cloud Monitoring is a highly-available API-driven monitoring system built to scale up to 1 million active checks. The product also introduces a lot of new and unique features such as a powerful and flexible DSL for specifying alarm thresholds.

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Joe Stein - How to Use Cassandra as the Central Nervous System of Distributed Systems

Joe Stein is currently the Chief Architect and head of server side development & production operations for Medialets. Joe has been a distributed systems developer and architect for over 10 years. He has built a variety of product solutions, security solutions, information exchanges and has been responsible for running them as services across different verticals.

DataStax, the commercial leader in Apache Cassandra™, along with the NYC Cassandra User Group, NoSQL NYC, and Big Data NYC joined together to present the first Cassandra New York City conference on December 6, 2011.

DataStax offers products and services based on the popular open-source database, Apache Cassandra™ that solve today's most challenging big data problems. DataStax Enterprise (DSE) combines the performance of Cassandra with analytics powered by Apache Hadoop™, creating a smartly integrated, data-centric platform. With DSE, real-time and analytic workloads never conflict, giving you maximum performance with the added benefit of only managing a single database. The company has over 100 customers, including leaders such as Netflix, Cisco, Rackspace and Constant Contact, and spanning verticals including web, financial services, telecommunications, logistics and government. DataStax is backed by industry leading investors, including Lightspeed Venture Partners and Crosslink Capital and is based in San Mateo, CA.

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Session: Cassandra in Action - Solving Big Data Problems
Speaker: Eddie Satterly (Splunk)

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Ilya Maykov - Scaling Video Analytics with Cassandra

Ilya Maykov is an engineer on the analytics team at Ooyala, the video technology company powering the online video experience for some of today's most innovative media companies such as ESPN, Bloomberg, and Miramax. His talk will describe the challenges of computing multi-dimensional video analytics reports over Ooyala's 100M+ monthly unique users in near-real-time, and the role Cassandra plays in meeting these challenges.

DataStax, the commercial leader in Apache Cassandra™, along with the NYC Cassandra User Group, NoSQL NYC, and Big Data NYC joined together to present the first Cassandra New York City conference on December 6, 2011.

DataStax offers products and services based on the popular open-source database, Apache Cassandra™ that solve today's most challenging big data problems. DataStax Enterprise (DSE) combines the performance of Cassandra with analytics powered by Apache Hadoop™, creating a smartly integrated, data-centric platform. With DSE, real-time and analytic workloads never conflict, giving you maximum performance with the added benefit of only managing a single database. The company has over 100 customers, including leaders such as Netflix, Cisco, Rackspace and Constant Contact, and spanning verticals including web, financial services, telecommunications, logistics and government. DataStax is backed by industry leading investors, including Lightspeed Venture Partners and Crosslink Capital and is based in San Mateo, CA.

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Eric Evans - CQL: SQL for Cassandra

One of the most linked to talks from Cassandra SF 2011 was Eric Evans talk on CQL -- the Cassandra Query Language. There is no better expert on CQL, and Eric has graciously agreed to join us for Cassandra NYC to give us an update. Eric will cover the background, motivation, and syntax of CQL. Eric is a committer on the Apache Cassandra project, and all-around Free Software hacker. Eric resides in San Antonio, Texas.

DataStax, the commercial leader in Apache Cassandra™, along with the NYC Cassandra User Group, NoSQL NYC, and Big Data NYC joined together to present the first Cassandra New York City conference on December 6, 2011.

DataStax offers products and services based on the popular open-source database, Apache Cassandra™ that solve today's most challenging big data problems. DataStax Enterprise (DSE) combines the performance of Cassandra with analytics powered by Apache Hadoop™, creating a smartly integrated, data-centric platform. With DSE, real-time and analytic workloads never conflict, giving you maximum performance with the added benefit of only managing a single database. The company has over 100 customers, including leaders such as Netflix, Cisco, Rackspace and Constant Contact, and spanning verticals including web, financial services, telecommunications, logistics and government. DataStax is backed by industry leading investors, including Lightspeed Venture Partners and Crosslink Capital and is based in San Mateo, CA.

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Session: Cassandra at Apigee Usergrid: Powering Mobile
Speaker: Ed Anuff (Apigee)
Description: Usergrid is a cloud service and open source stack built on top of Cassandra for powering mobile and rich client applications. In building Usergrid, Ed and his team tackled advanced Cassandra topics such as deep indexing of JSON documents and multi-tenancy at scale. Usergrid is based on Hector and key members of the Hector team work on the project, so whether you're interested in mobile development or solving hard problems with Hector, you'll find this an interesting session.

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Edward Capriolo - Cassandra in Online Advertising: Real-Time Bidding

Edward Capriolo is a Hadoop System Administrator at m6d.com. Always interested clustered, fault tolerant, and grid computing systems he became dazzled by Apache Cassandra. He authored Cassandra High Performance Cookbook for both fun and homage. In addition to the book, Edward also has a Cassandra High Performance Blog.

DataStax, the commercial leader in Apache Cassandra™, along with the NYC Cassandra User Group, NoSQL NYC, and Big Data NYC joined together to present the first Cassandra New York City conference on December 6, 2011.

DataStax offers products and services based on the popular open-source database, Apache Cassandra™ that solve today's most challenging big data problems. DataStax Enterprise (DSE) combines the performance of Cassandra with analytics powered by Apache Hadoop™, creating a smartly integrated, data-centric platform. With DSE, real-time and analytic workloads never conflict, giving you maximum performance with the added benefit of only managing a single database. The company has over 100 customers, including leaders such as Netflix, Cisco, Rackspace and Constant Contact, and spanning verticals including web, financial services, telecommunications, logistics and government. DataStax is backed by industry leading investors, including Lightspeed Venture Partners and Crosslink Capital and is based in San Mateo, CA.

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Session: Cassandra - A Foundation for Real-time Big Data Applications at Reltio
Speaker: Manish Sood (Reltio)
Description: Reltio provides the world's largest enterprise customers with real-time Big Data Applications that help business users understand markets, drive revenue and reduce risk through actionable, real-time and predictive insights integrated into applications and dashboards. These applications require the ability to not only handle data scale, latency, and high availability but also deliver capabilities that address reconciliation of data from multiple sources, handle multiple dimensions (various entities, relationships and interaction data) of varying complexity, with the ability to track audit and bi-temporal data. To solve this challenge, Reltio leverages Cassandra as the enabling data store for multi-tenancy, complex attribute structures, graph storage, real-time search and analytics. These capabilities are delivered as a Service to customers across verticals to address scenarios such as Extended Client views, Client experience & engagement, and Risk & Compliance

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Drew Robb - Cassandra at SocialFlow

DataStax, the commercial leader in Apache Cassandra™, along with the NYC Cassandra User Group, NoSQL NYC, and Big Data NYC joined together to present the first Cassandra New York City conference on December 6, 2011.

DataStax offers products and services based on the popular open-source database, Apache Cassandra™ that solve today's most challenging big data problems. DataStax Enterprise (DSE) combines the performance of Cassandra with analytics powered by Apache Hadoop™, creating a smartly integrated, data-centric platform. With DSE, real-time and analytic workloads never conflict, giving you maximum performance with the added benefit of only managing a single database. The company has over 100 customers, including leaders such as Netflix, Cisco, Rackspace and Constant Contact, and spanning verticals including web, financial services, telecommunications, logistics and government. DataStax is backed by industry leading investors, including Lightspeed Venture Partners and Crosslink Capital and is based in San Mateo, CA.

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Session: Buy It Now! Cassandra at eBay
Speaker: Jay Patel (eBay)
Description: This talk will cover use cases for Cassandra at eBay. It'll start with some simple logging & tracking use cases and move into a more complex use case called "eBay Social Signal", which enables like/own/want social-oriented features on eBay product and item pages. For each use case, Jay will cover in-depth data model design with trade-offs, deployment topology, and lessons learned. To conclude, Jay will summarize the best practices that guide Cassandra utilization at eBay.

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Session: Building a Cassandra Based Application from Scratch
Speaker: Patrick McFadin
Description: The goal of this talk is to take people unfamiliar with building an application with Cassandra, through the design cycle. We'll take a simple example of a video sharing application and go from design to implementation. One of the first questions asked when first starting with Cassandra is how will my data look? By starting from the beginning, you will see how the design process works. We'll cover topics like data modeling, trade-offs with different design ideas and considerations for deployment. The language used in this talk will be Java, but will be abstract enough for implementation in any language.

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