Learn About In-Memory Computing
In-memory data grids bring exceptional performance and scalability to applications built on top of them. Applications can achieve a 1000x performance improvement and become automatically scalable and fault-tolerant thanks to the data grid architecture. However, the majority of data grid architectures sacrifice traditional SQL support, requiring application developers to completely rewrite their SQL-based code to support data grid specific APIs.
The financial technology (fintech) industry is exploding. More than $35 billion has been invested in fintech companies since 2011, with investments doubling year after year. Fintech is now at the core of financial transactions, payments, lending, compliance, risk management, cybersecurity and more. While some fintech companies provide solutions to the financial services industry, many fintech companies now compete directly with traditional financial services companies – bringing big returns to their investors.
Internet of Things (IoT) initiatives in financial services require greater performance and scalability than existing database architectures allow. This webinar will explain how to use the GridGain in-memory computing platform to overcome the performance and scalability limitations of existing data infrastructures in order to build successful IoT solutions in financial services.
The payments industry is being disrupted. Mobile payments, instantaneous payments and embedded payments are changing the way consumers interact with their financial institutions. The current payments paradigm requires financial services and fintech companies to upgrade their digital infrastructure to support processing transactions in a low-latency, scalable and secure manner.
Service-oriented architectures (SOAs) are used to build flexible, independently deployable software systems. Microservices decompose services down to small pieces and use lightweight protocols to allow processes to communicate with each other over a network. This architectural approach is becoming increasingly popular, especially in high-availability systems. However, microservices-based solutions can become victims of their own success as greater and greater demands are placed on the systems that use them.
Learn how to use an in-memory computing platform like Apache® Ignite™ and GridGain to develop high performance and highly scalable mobile apps in this webinar.
The Insurance industry is undergoing significant changes. In addition to economic and political uncertainty, insurers face investment income pressure from low interest rates. Coupled with this are the challenges of social and regulatory changes based on new customer expectations and government and employer policies.
Software and Software-as-a-Service (SaaS) developers face a rapidly escalating set of challenges as they strive to make applications faster and more scalable. Software developers must meet the performance and scalability requirements dictated by unprecedented numbers of internal and external users. The challenges faced by SaaS developers are even more dramatic as they create high-performance, hyper-scale services that provide quick response times even under a growing volume of users and data. Software and SaaS are being revolutionized by in-memory computing.
The Apache® Ignite™ in-memory computing platform enables you to dramatically accelerate and scale out your existing data-intensive applications without ripping and replacing your existing databases. You insert Apache Ignite between your application and database layers to significantly accelerate your existing solution’s overall performance. The Apache Ignite Web Console, an interactive management and configuration tool for Apache Ignite, provides an automated way to accomplish the following:
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.
If your eCommerce initiatives are struggling to keep up with customer demand, then in-memory computing may be the solution you need to take performance and scale to the next level. Yesterday’s application and data architectures cannot achieve the speed and scale offered by in-memory computing. In addition, in-memory computing is more efficient than disk-based systems and can frequently be used to drive infrastructure consolidation projects and decrease costs.
Rachel Pedreschi, Christos Erotocritou
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 deployment. 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:
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.
Nikita Ivanov, Peter Zaitsev
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:
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, computing platforms and data fabrics? 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:
Rachel Pedreschi, Igor Rudyak
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.
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.