Access Our Library of In-Memory Computing Resources
GridGain produces a wide selection of resources that can help you understand how our in-memory computing platform can fit within your existing or new architectures. Whether your organization needs to speed up and scale out an existing application or you are focused on the development of a new, modern application architecture, our resources can help you understand how GridGain can help. Select from our extensive library of white papers, webinars, case studies, application notes, ebook and more.
Resources
Bitcoin and blockchain, the digital-ledger technology behind this electronic currency, are generating enormous amounts of interest in the financial services industry. Most of the larger banks are investigating this area, and many technology companies are building platforms to enable blockchain technology for financial services firms.
Spread betting offers some compelling advantages, including low entry and transaction costs, preferential tax treatment, and a diverse array of products and options. Traders can bet on any type of event for which there is a measurable outcome that might go in either of two directions – for example, housing prices, the value of a stock-market index, or the difference in the scores of two teams in a sporting event.
Financial fraud detection and prevention is not a simple task, and firms must tackle it simultaneously with other crucial tasks such as ensuring regulatory compliance. To accomplish these data-intensive tasks in a timely manner, financial firms need solutions that are flexible, scalable, reliable, and fast enough to analyze extremely large datasets in real-time.
This white paper discusses how to accelerate Apache® Cassandra™ and improve Cassandra performance. Apache Cassandra is a popular NoSQL database that does certain things incredibly well. It can be always available, with multi-datacenter replication. It is also scalable and lets users keep their data anywhere. However, Cassandra is lacking in a few key areas – particularly speed. Because it stores data on disk, Cassandra is not fast enough for some of today’s extreme OLTP workloads.
GridGain Cloud, which enables companies to create an in-memory SQL and key-value database in minutes, is now in Beta. Learn from the experts how to use GridGain Cloud, and get up and running. This 60-minute hands-on session will:
In this webinar, Akmal Chaudhri, Technology Product Evangelist for GridGain and Apache Ignite, will introduce the fundamental capabilities and components of a distributed, in-memory computing platform. With increasingly advanced coding examples, architects and developers will learn about:
In this webinar, Akmal Chaudhri, GridGainTechnical Evangelist, will introduce the fundamental capabilities and components of an in-memory computing platform with a focus on Apache Ignite, and demonstrate how to apply the theory in practice. With increasingly advanced coding examples, architects and developers will learn about:
- Cluster configuration and deployment
- Data processing with key-value APIs
- Data processing with SQL
This is Part 1 of a 2-part webinar series designed for software developers and architects.
It's hard to improve the customer experience when your existing applications can't handle the ever-increasing customer loads, are inflexible to change and don't support the real-time analytics or machine learning needed to improve the experience at each step of the way. Join us for part 1 of the in-memory computing best practices series. Learn how companies are not only adding speed and scale without ripping out, rewriting or replacing their existing applications and databases, but also how they're setting themselves up for future projects to improve the customer experience.