Tatiana Staffaroni
Position:
Marketing Coordinator
Bio:
In the world of financial uncertainty, assets and wealth management remains a popular segment of the financial services industry. In the recent years, there has been a shift in customer demographics with younger clientele entering the market. This shift resulted in higher demand for alternative ways of placing and managing financial holdings. The technology, being the most important driving force, is at the forefront of...
For the second year in a row GridGain Systems has been included in the prestigious 2016 Red Herring Top 100 Global list. Red Herring recognizes the leading private companied from North America, Europe and Asia and celebrates entrepreneurship and innovation in startups that lead the charge in many tech sectors. Red Herring evaluates privately financed companies based on technological innovation, financial performance, intellectual property, business...
Blockchain, the technology that was initially developed for Bitcoin, is one of the hottest topics in the financial sector. Many large financial organizations, including major banks, have already launched experimental Blockchain projects. One of the primary reasons for adopting this cutting edge technology is that it has the potential to reduce fraud as every transaction is recorded and distributed on a public ledger. The challenge...
MySQL® is a widely used open source RDBMS which powers many of the world's leading online applications and internal corporate systems. Apache® Ignite™ is an open source in-memory computing platform that dramatically speeds up RDBMS-based applications. Apache Ignite is inserted between existing database (RDBMS, NoSQL and Hadoop) and application layers and powers 1,000x faster queries compared to disk-based solutions. Used together, Apache Ignite can help...
Join us on Wednesday, November 30, 2016 at 11:00 AM PDT/2:00 PM EDT for a webinar discussing tuning Apache® Ignite™ and GridGain for optimal performance with Valentin Kulichenko, Lead Architect at GridGain Systems. Distributed in-memory computing systems such as Apache Ignite can be used to improve the performance and scalability of data-driven applications. Distributed systems, though, depend intimately on proper deployment and tuning. In this...
In-memory computing solutions boost performance as a result of their key-value based architecture. However, both application and business needs require flexible SQL support. Many in-memory data grid (IMDG) solutions invent their own query engines or provide limited SQL support. Neither of these approaches meet real world needs. During this webinar, we will provide an overview of how typical IMDGs address this SQL support requirement. We...
Spread betting is an alternative to conventional trading that enables users to speculate on rising as well as falling market prices. Spread betting became one of the major global growth markets since the financial crisis of 2008. The reasons for this rise in popularity include preferential tax treatment, low entry and transaction costs, favorable conversion rates, wider bid offer spreads and less regulations . While...
The GridGain Enterprise Edition, based on Apache® Ignite™, is now available on the Amazon Web Services (AWS) Marketplace. The GridGain in-memory computing platform allows organizations across multiple industries to rapidly and effectively deploy GridGain’s distributed, massively parallel, in-memory computing solution on AWS. GridGain enables users to dramatically accelerate and scale out existing data-intensive application without ripping and replacing their existing databases. The GridGain solution can...
Fraud has evolved from a disorganized criminal activity into a sophisticated multi-billion dollar business. Fraud committed within financial services is causing loss of revenue, institution’s reputation, shareholder’s confidence and customer loyalty. As the fraudulent schemes become more sophisticated, so should the ways of fighting them. Detecting fraud requires complex data processing, modeling and analysis performed in real-time. Speed is everything when it comes to fraud...
In-memory computing allows users to process terabytes of data in real-time and across many different applications and underlying databases. In-memory computing is gaining momentum in industries such as financial services, fintech, software/SaaS, telecommunications, ecommerce, online services, and retailers for its ability to transact and analyze large amounts of data in real-time. As the in-memory computing industry grew rapidly over the past few years, it became...
The GridGain Enterprise Edition, based on Apache® Ignite™, is now available on the Microsoft Azure Marketplace. The GridGain in-memory computing platform dramatically accelerates and scales out existing data-intensive applications without ripping and replacing existing databases. GridGain enables unlimited scalability and tremendous speed. Query times are up to 1,000,000x faster than disk-based systems. GridGain can be scaled out by adding new nodes to the cluster which...
”Apache Spark™ and Apache Ignite™ for Fast Data” Webinar on September 7, 2016 Apache Spark and Apache Ignite are two of the most popular open source projects in the area of high-performance Big Data and Fast Data. Both technologies are in-memory computing solutions to Big Data challenges but they target different use cases and, in many instances, are complementary. Join Dmitriy Setrakyan, Chief Product Officer...
In-Memory Computing enables processing up to 1,000,000x faster than with disk-based storage and scalability to hundreds of TBs by adding commodity nodes to the cluster. It is characterized by using high-performance, integrated and distributed memory systems to compute and transact on large-scale data sets in real-time. The GridGain In-Memory Data Fabric for .NET delivers outstanding performance for a wide set of in-memory computing use cases...