Technical Presentations About GridGain and Apache Ignite

The technical presentations below 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, data lake acceleration, machine learning, deep learning, and how to apply these technologies and others to power your organizations’ digital transformation. These technical presentations have been developed and presented by GridGain in-memory computing experts.

Change Data Capture (CDC) has become a very efficient way to automate and simplify the ETL process for data synchronization between disjointed databases. It is also a useful tool for efficient replication schemas. These webinar slides cover the fundamental principles and restrictions of CDC and reviews examples of how change data capture is implemented in real life…
To take full advantage of an in-memory platform, it’s often not enough to upload your data into a cluster and start querying it with key-value or SQL APIs. You need to distribute the data efficiently and tap into distributed computations that minimize data movement over the network.
Apache Ignite is a powerful in-memory computing platform. The Apache IgniteSink streaming connector enables users to inject Flink data into the Ignite cache. Join Saikat Maitra to learn how to build a simple data streaming application using Apache Flink and Apache Ignite.
If you experience limitations with the size, scale or performance of your relational database, it may be time to migrate to a distributed system. This webinar discussed how the distributed Apache Ignite platform can function as a database, providing both SQL and JCache APIs to work with your data.
Attendees of this webinar learned how to use the service grid capabilities of the Apache Ignite distributed in-memory computing platform. Simple code examples helped attendees review possible architectural solutions and learn how to build fault-tolerant, scalable and flexible systems.
Most enterprises have PostgreSQL deployments that they will be using for years to come for transactional, big data, mobile, and IoT use cases. How can Postgres continue to support the current and emerging use cases which demand ever higher performance and more scalability into the future?
In this webinar, Greg Stachnick discussed the GridGain Web Console, an interactive configuration, management, and monitoring tool for Apache® Ignite™ and GridGain®. During this session he covered the basics of installation and configuration as he walked through the Web Console feature list.
In this webinar, attendees learned some of the best practices and the different options for maximizing availability and preventing data loss. This session explained in detail the various challenges including cluster and data center failures, and the best practices for implementing disaster recovery (DR) for distributed in-memory computing based on real-world…
This webinar discusses deploying Apache Ignite into production in public and private clouds. Companies have faced many challenges when deploying in-memory computing platforms such as Apache Ignite in the cloud, but they have also discovered many best practices that have made success possible.
This in-memory computing best practices webinar explains how companies add in-process Hybrid Transactional/Analytical Processing (HTAP) architectures for real-time data access, analytics, and decision automation to their existing applications and analytics systems. In this webinar, you will learn:
When you add a distributed in-memory computing cluster to support existing systems or new APIs, you introduce additional moving parts that can be hard to track and troubleshoot for performance issues or failures.
This webinar discusses how an in-memory computing platform such as GridGain or Apache Ignite can modernize existing data lake architectures, enabling real-time analytics that spans operational, historical, and streaming data sets.
In this presentation, Apache® Ignite™ PMC Chair Denis Magda shares a checklist to consider for your Apache Ignite production deployments.
Learn how companies have added speed and scale to MySQL deployments for different use cases. This presentation will cover the various options available and when each option makes sense. It will also cover how to evolve your architecture over time to add the speed, scale, agility and new technologies needed for digital transformation and other initiatives.
As an in-memory computing platform, GridGain® and Apache Ignite support native persistence that stores data and indexes transparently on non-volatile memory, SSD or disk. This presentation provides insights into the underlying architecture and best practices for implementing native persistence in production.