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
In-memory computing has transformed so many times over the past twenty-five years, it is easy to get confused. Is it database caching or a data grid? Is it streaming or acceleration? What about in-memory databases, and computing platforms?
This webinar will discuss why there are so many different types of in-memory computing solutions, where they came from, what they are, and when to use them. We’ll discuss:
Apache Spark™ and Apache Ignite™ are two powerful solutions for high-performance Big Data and Fast Data. Using Spark and Ignite together is an easy way to boost performance by orders of magnitude for your next generation real-time applications. With Spark plus Ignite, you can share state across Spark jobs, applications, and workers and your Spark queries will also run much faster.
During this webinar, Dmitry Setrakyan will provide a deep dive into GridGain and Apache Ignite support for .NET. He will describe how these solutions can allow you to decrease data query times by 1,000x and massively scale out your .NET applications with in-memory computing. Dmitriy Setrakyan is the Co-Founder & Chief Product Officer for GridGain as well as the Chairman of the Apache Ignite Project Management Committee.
Topics covered during this webinar will include:
Apache® Cassandra™ is a popular NoSQL database which promises an “always available” and scalable architecture that appeals to many distributed system developers. But Cassandra is not fast enough for some of today’s extreme OLTP workloads. It pulls data from disk and does not support in-memory workloads so it may not meet tight SLAs or solve extreme performance needs. However, the GridGain In-Memory Data Fabric, the production ready version of Apache® Ignite™, may be able to help.
Traditional data warehouse architectures and techniques are quickly becoming obsolete due to hardware and software technology innovations. In addition, users are much more demanding and sophisticated, requiring access to both transactional and analytical data in real-time. Like many data-driven organizations, your company may be re-architecting its data warehouse to meet these needs and provide multiple 9’s of availability.
Regulatory tightening is required by Dodd Frank, Volker, Best Execution, Basel, MiFID, and CCAR. AML, KYC and fraud detection demand real-time compliance. Financial services organizations face unprecedented and growing technical challenges.
Validating financial transactions is necessary to satisfy demanding regulatory and client protection requirements. It requires monitoring, collecting and analyzing real-time data from multiple, disparate sources.
Over 30 billion devices will be wirelessly connected to the Internet by 2020.
Internet of Things (IoT) applications have three key components: the devices, the networks connecting them, and the analytics that use the generated data. Before data is valuable, it must be converted to actionable information through complex processing and correlation algorithms. As the number of devices increases, so does the volume of data, giving rise to scaling challenges. In-memory data fabrics such as Apache® Ignite™ address the scaling and real-time processing requirements of IoT use cases.
In-memory computing addresses the toughest Big Data challenges in the financial services industry. Join GridGain’s Eric Karpman, a 30-year veteran of the financial services industry, as he shares how some of the world’s largest financial institutions use the power of in-memory computing for:
GridGain In-Memory Data Fabric v. 7.5, built on Apache® Ignite™ v. 1.5, provides enterprise clients with significant performance improvements over previous versions, deadlock free transactions, plus all of the high value Enterprise Edition features which make deploying and managing Apache Ignite in a mission-critical environment much easier.
Join Dmitriy Setrakyan, Chief Product Officer of GridGain and Chairman of Apache Ignite Management Committee, as he discusses some of the most important features of GridGain 7.5 and Apache Ignite 1.5, including:
Organizations today typically have heterogeneous IT infrastructures which include a variety of database technologies and a wide variety of applications drawing on that data. Many organizations are dealing with massive and rapidly growing amounts of data with end users requiring immediate access to this real-time big data for both transactional and BI applications. Technology providers are responding to these evolving needs by moving towards a converged data platform which includes: