12 Jan 2015
Speakers: Gary Stewart & Christopher Reedijk, Advisory IT Specialists at ING
Many financial institutions have discovered NoSQL databases. Some of them are using Cassandra-like technologies in corners of their application landscape to learn, and perhaps as a means to lower the expenses for traditional database suppliers. So did ING. ING is now in production with Cassandra to increase scalability and availability for our channels applications. We spent a year with a small team of engineers gathering experience and learning what the big shift in using this technology really means for a team and for an organization. During that time we put in production the first low latency data store with Cassandra. After many proofs of concept, we are learning what needs to be done differently in the Cassandra world with an active-active setup. In this session we will talk about some best practices, the shift from ACID and Relational to BASE with tunable consistency. We will also talk about the things that we learnt and a pattern that we discovered to solve a classic “synchronize” problem in a distributed database whilst ensuring consistency. Some people say that this technology is not yet mature enough for use in financial services. We say that we have proven that this can be done; however it does require solid engineering skills that go beyond the obvious status quo in the IT industry. We are not there yet, but we are learning that we can balance the level of availability that our customers need with the level of consistency that the bank internally needs.
Many financial institutions have discovered NoSQL databases. Some of them are using Cassandra-like technologies in corners of their application landscape to learn, and perhaps as a means to lower the expenses for traditional database suppliers. So did ING. ING is now in production with Cassandra to increase scalability and availability for our channels applications. We spent a year with a small team of engineers gathering experience and learning what the big shift in using this technology really means for a team and for an organization. During that time we put in production the first low latency data store with Cassandra. After many proofs of concept, we are learning what needs to be done differently in the Cassandra world with an active-active setup. In this session we will talk about some best practices, the shift from ACID and Relational to BASE with tunable consistency. We will also talk about the things that we learnt and a pattern that we discovered to solve a classic “synchronize” problem in a distributed database whilst ensuring consistency. Some people say that this technology is not yet mature enough for use in financial services. We say that we have proven that this can be done; however it does require solid engineering skills that go beyond the obvious status quo in the IT industry. We are not there yet, but we are learning that we can balance the level of availability that our customers need with the level of consistency that the bank internally needs.
- 3 participants
- 39 minutes
27 Dec 2014
Speakers: Phillip Meredith, Application Developer & Jay Modha, Vice President, at Credit Suisse.
In this talk, I will demonstrate how we have built one of the most reliable services in Credit Suisse using Cassandra in an environment that is changing all the time — navigating the complex path of scheduled downtime, disaster recovery scenarios and the realities of using shared infrastructure in a corporate environment while still maintaining zero downtime for our users. We'll explore how a small team of 4 developers supports a user base of more than 600+ users globally and go through in more detail how we have deployed Cassandra and manage it from an operations perspective. We'll also discuss how we have used Cassandra’s TTL functionality to meet regulatory data retention requirements and go through some examples of how our Cassandra schema has evolved to deliver new functionality for our users. Finally, we will examine lessons learned and the future of Cassandra at Credit Suisse.
In this talk, I will demonstrate how we have built one of the most reliable services in Credit Suisse using Cassandra in an environment that is changing all the time — navigating the complex path of scheduled downtime, disaster recovery scenarios and the realities of using shared infrastructure in a corporate environment while still maintaining zero downtime for our users. We'll explore how a small team of 4 developers supports a user base of more than 600+ users globally and go through in more detail how we have deployed Cassandra and manage it from an operations perspective. We'll also discuss how we have used Cassandra’s TTL functionality to meet regulatory data retention requirements and go through some examples of how our Cassandra schema has evolved to deliver new functionality for our users. Finally, we will examine lessons learned and the future of Cassandra at Credit Suisse.
- 6 participants
- 33 minutes
27 Dec 2014
Speakers: David Haines, Head of Front Office Development & Aleksa Vukotic, Head of Platform Development at Noble Group
Noble Group, a market-leading global supply chain manager of energy products, metals, and minerals uses Cassandra to power a decision-support system to assist the traders and analysts in ever-changing market conditions. In this talk, Noble will explain data modeling and querying techniques they employ to ensure high throughput and high performance data access using Cassandra.
Noble Group, a market-leading global supply chain manager of energy products, metals, and minerals uses Cassandra to power a decision-support system to assist the traders and analysts in ever-changing market conditions. In this talk, Noble will explain data modeling and querying techniques they employ to ensure high throughput and high performance data access using Cassandra.
- 5 participants
- 29 minutes
27 Dec 2014
Speaker: Roy Bailey, Director of Neo Platform Services at UBS Securities
In this talk, Roy will discuss how their large scale client-facing application initiatives at UBS Securities utilize Apache Cassandra. This talk dives into their search for a scalable solution which allows them to serve their investment bank's equity time series data across the globe.
In this talk, Roy will discuss how their large scale client-facing application initiatives at UBS Securities utilize Apache Cassandra. This talk dives into their search for a scalable solution which allows them to serve their investment bank's equity time series data across the globe.
- 2 participants
- 34 minutes
