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
GridGain Systems Solution Architects Christos Erotocritou and Rachel Pedreschi have helped numerous customers get started with Apache® Ignite™ and GridGain. During this 1-hour webinar, they will share answers to the most common questions asked prior to deploying Apache Ignite or GridGain. They will also provide guidance that will save you time and make deploying GridGain or Apache Ignite a more enjoyable experience. Questions they will address include:
Technology is changing traditional retail banking business models. Online banking and mobile banking are generating significantly more transactions than live teller-based banking. This increase in automation is challenging banks to redesign their legacy systems to accommodate the increased quantity and complexity of transactions and analytics. Such changes require a fast, scalable, distributed and secure architecture.
Asset and wealth management continues to be one of the most attractive segments of the financial services industry, promising profitability and growth in a world of financial uncertainty. However, most financial institutions are observing a shift in their client demographics. The new client base demands different ways of placing and managing their financial holdings. As a result, technology is the single most important driving force in maintaining a competitive edge in this highly regulated industry.
Bitcoin and blockchain technology has driven a lot of discussions around its possible use within the banking and financial services industries. According to analysts, 80% of top banks have launched experimental blockchain projects. While an estimated 15% of these banks will likely launch new blockchain-based services into the mass market in the next 12-24 months, an enormous investment in new technology may be required.
MySQL® is an extremely popular and widely used RDBMS. Apache® Ignite™ is the leading open source in-memory computing platform which can provide speed and scale to RDBMS-based applications. Apache Ignite is inserted between existing application and data layers and works with all common RDBMS, NoSQL and Hadoop® databases.
Join Nikita Ivanov, GridGain CTO and Co-Founder, and Peter Zaitsev, CEO and Co-Founder of Percona, as they discuss how you can supplement MySQL with Apache Ignite. You'll learn:
Distributed in-memory computing systems such as Apache® Ignite™ improve performance and scalability of user applications. However, when dealing with distributed systems, proper deployment and tuning are very important.
In this webinar, we will go over several deployment anti-patterns and demonstrate various optimization techniques and features available in Apache Ignite and GridGain to facilitate most distributed deployments. We will cover:
In-memory computing solutions boost performance due to their key-value based architecture, however, flexible SQL support is required for both application and business needs. Many in-memory data grid (IMDG) vendors address the need for SQL support by inventing their own query engines or by providing limited SQL support, but neither approach meets real world needs.
Financial spread betting has been one of the major global growth markets since the financial crisis of 2008. There are several reasons for this, including preferential tax treatment, low entry and transaction costs, wider bid-offer spreads, less regulation, and a diverse universe of products and options.
Fraud is a growing multi-billion dollar business. Detecting fraud requires complex data processing, modeling and analysis performed in real-time. Financial services institutions are committed to protecting their customers from fraud, protecting themselves from losses due to financial crime and complying with a myriad of local and global regulations. To accomplish their fraud prevention goals, financial services companies need flexible, scalable, reliable and extremely fast solutions that provide controls to detect and stop fraud.
This webinar will examine:
High frequency trading is becoming much more intense as financial services companies compete on latency, performance and analytical complexity. High frequency, algorithmic and quantitative trading is becoming the norm. At the same time, transactional-level compliance and risk management controls must be in place. Financial services firms now face unprecedented and growing technical challenges as a result of these requirements.