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
The healthcare industry provides many different challenges for the storage and analysis of massive amounts of data in real-time. This is due to the varying requirements across the industry, such as the increasing use of Electronic Health Records (EHRs), personalised medicine, new patient and provider expectations for real-time insurance systems, and drug discovery, for example.
In this webinar, Denis Magda, GridGain Director of Product Management and Apache Ignite PMC Chairman, will introduce the fundamental capabilities and components of a distributed, in-memory computing platform. With increasingly advanced coding examples, you’ll learn about:
- Collocated processing
- Collocated processing for distributed computations
- Collocated processing for SQL (distributed joins and more)
- Distributed persistence usage
This is Part 2 of a 2-part webinar series designed for software developers and architects.
In this webinar, Denis Magda, GridGain Director of Product Management and Apache Ignite PMC Chairman, will introduce the fundamental capabilities and components of an in-memory computing platform, and demonstrate how to apply the theory in practice. With increasingly advanced coding examples, you’ll learn about:
Learn how to boost performance 1,000x and scale to over 1 billion transactions per second with in-memory storage of hundreds of TBs of data for your SQL-based applications.
Apache Ignite is a unique data management platform that is built on top of a distributed key-value storage and provides full-fledged SQL support.
Attendees will learn how Apache Ignite handles auto-loading of an SQL schema and data from a Relational DBMS, supports SQL indexes, supports compound indexes, and various forms of SQL queries including distributed SQL joins.
Examples will show:
During this 1-hour webinar, GridGain Product Manager and Apache® Ignite™ PMC Chair Denis Magda will discuss a Fast Data solution that can receive endless streams from the Interne
Apache® Ignite™ is the leading open source in-memory computing platform. Apache Ignite is deployed between the application and data layers and works with all common RDBMS, NoSQL and Hadoop® database to provide speed, scalability and high availability.
In this presentation, GridGain Product Manager and Apache Ignite PMC Chair Denis Magda will explain featured of the Apache Ignite distributed computing platform which are important for financial use cases, including:
If you are trusting a single datacenter to support your newest mission critical or cutting edge in-memory computing application, you may want to reconsider your strategy. No datacenter is 100% secure against natural disasters, hackers or just plain old human error. In order to maintain all the 9s of availability that you have promised, you need to hedge your bets on an active - active or active - passive set up. The GridGain Multi-Datacenter Replication feature makes doing this a snap.
PostgreSQL is one of the most popular open source RDBMSs. Apache® Ignite™ is the leading open source in-memory computing platform. The Apache Ignite distributed computing platform is inserted between the application and data layers and works with all common RDBMS, NoSQL and Hadoop® databases to provide speed, scale and high availability. When Postgres comes up short, Ignite may be able to help you bridge the gap.
Join Fotios Filacouris, GridGain Solution Architect, as he discusses how you can supplement PostgreSQL with Apache Ignite. You'll learn:
Machine learning is a method of data analysis that automates the building of analytical models. By using algorithms that iteratively learn from data, computers are able to find hidden insights without the help of explicit programming. These insights bring tremendous benefits into many different domains. For business users, in particular, these insights help organizations improve customer experience, become more competitive, and respond much faster to opportunities or threats.
If downtime is not an option for you, and your application needs to be extremely low-latency, Kubernetes® and Apache® Ignite™ are open source frameworks that work exceedingly well together to achieve these goals.