Webinars Presented by GridGain Systems

Learn About In-Memory Computing

Upcoming Webinars
 
Valentin Kulichenko
It’s well known that there is a tradeoff between data consistency and high availability. But at the same time, there are lots of applications that still require very strong consistency guarantees, and making such applications highly available can be quite a challenge.
 
GridGain Solutions Architect
Dani Traphagen
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.
Past Webinars
Matt Sarrel
Telecommunications is no longer as simple as connecting a bunch of wires and physically maintaining them in order to deliver a dial tone. Today’s telecommunications providers face myriad challenges around big data and analytics. Data, and unlimited data plans, is stretched telco networks to provide capacity and services that no one had dreamed of even 15 years ago. Telcos are constantly monitoring and upgrading networks to support the insatiable hunger for data. The network is only part of the answer though.
Akmal B. Chaudhri
There is a myth that online financial operations need to be delegated to relational databases due to their ACID transaction support. But today, most of these disk-based relational databases cannot keep pace with the rapidly growing volumes of data that are becoming a bottleneck in the overall transactional system. There are two solutions to deal with this issue: upgrade to more expensive hardware or migrate to a distributed platform.
Fotios Filacouris
Ever-changing financial regulatory compliance policy is causing unprecedented and growing technical challenges. Banks and other financial institutions must continuously monitor, collect, and analyze vast amounts of data from multiple, disparate sources in real-time. Coping with these challenges in an efficient way requires not only an extremely fast, scalable, and cost-effective data technology, but also one that can incorporate and handle new requirements as they arise.
Dmitriy Setrakyan
GridGain 8.1 is a turnkey release which makes GridGain and Apache® Ignite™ the only platforms on the market that combine a distributed SQL database with an in-memory key-value data grid.
Eric Karpman, Matt Sarrel
Data is critical to the success of financial services companies. Market data, customer data, trade data, and compliance data are retained, processed and analyzed to help firms not only stay afloat but also ahead of the competition. During this webinar, we will discuss the different types of financial data, ways financial and fintech companies process it, and show how in-memory computing is used to instantaneously analyze and make decisions based on internally and externally available data.  We will discuss:
Denis Magda
Join GridGain Systems Product Manager Denis Magda as he introduces the newest features in Apache Ignite 2.0 including the dramatically improved memory architecture and enhanced SQL DDL support. Apache Ignite 2.0 is a turnkey release which blends a distributed in-memory SQL database (IMDB) and an in-memory key-value data grid (IMDG) under one data management platform. It is also a necessary stepping stone ahead of the Apache Ignite 2.1 release which will be focused around native disk persistence, allowing Ignite operate equally well in-memory and on-disk.
Rachel Pedreschi, Matt Sarrel
In-memory computing brings unlimited performance and scalability to even the most demanding business applications and their accompanying data sets. Moving data from disk to memory brings enormous performance gains. Boosting performance and scalability is of great value as it makes existing applications better and paves the way towards a memory first architecture that opens new horizons in computing.
Nikita Ivanov, Jason Stamper
In this webinar hosted by GridGain Systems and 451 Research, you’ll hear about the compelling drivers for in-memory computing technologies: especially in-memory databases, data grids, and platforms. 451 Research’s data platforms analyst Jason Stamper will explain how in-memory computing helps to overcome many of the challenges faced by the modern enterprise when it comes to data processing and analytics. He will also gaze into his crystal ball to predict how in-memory computing technologies will evolve in coming years.
Denis Magda
The Internet of Things (IoT) is more than a bunch of sensors. Sensors and embedded devices gather data about the surrounding environment, but what you do with this data is what truly matters. A bunch of sensors won’t optimize your business. Collecting and analyzing the data that those sensors produce will.
Eric Karpman, Matt Sarrel
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.
Matt Sarrel
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.
Denis Magda
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.
Eric Karpman, Matt Sarrel
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. 
Matt Sarrel
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.
Eric Karpman, Matt Sarrel
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.