GridGain In-Memory Computing Technical Presentations

Technical Presentations About GridGain and Apache Ignite

These technical presentations, developed and presented by GridGain in-memory computing experts, will help you understand, configure, and deploy the GridGain® and Apache Ignite® in-memory computing solutions. The presentations cover topics including in-memory computing, in-memory databases, stream processing, digital integration hubs, data lake acceleration, machine learning, deep learning, and how to apply these technologies and others to power digital transformation.


Learn how the world’s largest financial institutions use the power of in-memory computing for:
Validating financial transactions is necessary to satisfy demanding regulatory and client protection requirements. It requires monitoring, collecting and analyzing real-time data from multiple, disparate sources.
Topics covered during this webinar will include: How GridGain and Apache Ignite can integrate with your most critical .NET apps to achieve incredible speed and scale How to interoperate between Java and .NET Sample use cases and code examples How to get started and keys to successful deployment
This webinar will show you how: To incorporate GridGain and Apache Ignite into your data warehouse architecture To bring extreme scale and speed to your Hadoop, Spark or RDBMS GridGain is used by clients to meet current and future data performance needs
Eric Karpman, a 30-year veteran of the financial services industry, shares how some of the world’s largest financial institutions use in-memory computing to address the challenges of high frequency trading. You will learn how to leverage in-memory computing to solve high frequency trading challenges and how GridGain and Apache® Ignite™ can address your specific needs…
This webinar will explain in detail how IgniteRDD — an implementation of native Spark RDD and DataFrame APIs — shares RDD state across Spark jobs, applications and workers. We demonstrate how IgniteRDD, with its advanced in-memory indexing capabilities, allows execution of SQL queries much faster than native Spark RDDs or Data Frames.
In this one-hour webinar you will learn how GridGain can turbocharge your Cassandra cluster without sacrificing availability guarantees. You will hear: An overview of the GridGain architecture How to deploy GridGain in minutes on top of Cassandra How companies use this powerful combination to handle extreme OLTP workloads
This webinar covers: In-Memory Options for products such as Oracle Database 12c and Microsoft SQL Server In-Memory Databases such as VoltDB, MemSQL, and SAP HANA In-Memory Data Grids such as Hazelcast, Oracle Coherence, and GigaSpaces In-Memory Computing Platforms and Fabrics such as GridGain
This webinars discusses how financial services firms use in-memory computing to manage event risk, margins, commissions, market making, statistical and correlation analysis, as well as the many algorithms used in spread betting.
By the end of the webinar, you will know how Apache Ignite can address your most challenging SQL support needs. 
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.
This webinar will help youl understand how incorporating Apache Ignite into your architecture can empower dramatically faster analytics and transactions when augmenting your current MySQL infrastructure.
This webinar discusses new approaches to onboard and serve asset and wealth management clients using digital channels, mobile technology, cloud computing, Big Data analytics and open architectures. We will also discuss how in-memory computing provides the speed, scale and security needed to meet current and future infrastructure and application needs.