Learn About In-Memory Computing
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 to operate equally well in-memory and on-disk.
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:
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.
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.
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.
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.
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.
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.
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.
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.
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: