High-capacity Persistent Memory will take in-memory computing to new levels by allowing developers to durably commit transactions directly in multi-terabyte persistent memory. This talk reviews the characteristics of upcoming persistent memory and describes the programming considerations developers must be aware of when interacting directly with persistent memory.
There is a myth that online money transactions have to be delegated to relational databases due to their proved ACID compliance. But presently, most of these disk-backed relational databases cannot keep up with rapidly growing volumes of data which is becoming a bottleneck of the overall transactional system. There are two solutions to deal with this issue - upgrade to a more expensive hardware or migrate to a distributed platform.
Whether it is a Microservices-based solution that is used under high load and processes rapidly growing volumes of data, or an application that does not use Microservices, both usually face the same issues:
Apache Ignite is one of the fastest growing Apache projects. The presentation will take the audience on a roadmap discovery of Ignite moving to a memory-centric storage model, supporting both, fast in-memory and durable on-disk data, and blending a distributed SQL database with an in-memory key-value data grid. We will cover differences in modern storage systems and dive in detail in how Ignite durable memory is architected, including:
In this presentation Dmitriy will share GridGain and Apache Ignite features important for financial use cases, including ACID compliance, SQL compatibility, persistence, replication, security, fault tolerance and more. Dmitriy will also analyze one of the largest data grids deployments in the world at Sberbank, a Russian and eastern European bank, by walking through the overall architecture and demonstrating various implementation and deployment challenges.
Today, the traditional financial institutions are facing the challenge to take on a new role in the digital economy. To grab the attention of the new generations of possible clients and to compete with new competitors , they need to reinvent their service offering.
For this, they are facing new requirements.
Presto is an open source software which was initially released by Facebook and was widely adapted by enterprise use cases such as advertising and web. Presto is an in-memory fast distributed SQL engine which fits to adhoc/interactive use cases. Our Treasure Data provides data management platform on cloud by using Presto. Since the library is now widely used in critical use cases in our customers, it is important to pursuit the high performance and stability on millions of queries. In addition the data size our Presto cluster is processing become increasing day by day.
The technical experts on the front lines of implementing in-memory computing technology.
The technical decision influencers that drive key architectural decisions about in-memory computing technology.
Technical decision makers that decide on the direction of their organization's in-memory computing technology.
Business decision makers evaluating the cost and benefit of implementing new in-memory computing solutions.
In-memory computing technology suppliers that provide the latest solutions for accelerating data transactions and analytics.
CONTACT INFO:
For more information on sponsoring or attending the In-Memory Computing Summit: info@imcsummit.org.
Details subject to change
Organized by GridGain Systems
