Webinars

Upcoming Webinars

(EDT)

Multimodel Data Platforms in the Agentic Era

Join Lizzy Nguyen (EDB) and featured speaker Indranil Bandyopadhyay (Forrester), to dissect the multimodel data-platform market: where it's heading, what a converged approach unlocks, what enterprise buyers need to watch out for, and how to approach adoption.

(EEST)

Building Postgres High Availability That Holds Up Under Pressure

We dig into the scenarios teams most often overlook: replication lag during a failover, split-brain risks, fencing a demoted primary, and why automated failover can make an outage worse if not done carefully.

On-demand

Lunch and Learn - EDB’s Product Roadmap

Learn more about insights into EDB's product strategy and priorities in 2022. Marc Linster, CTO at EDB will share what we've been working on and what we are working on now. He will also provide a view into future deliverables.

EDB Masterclass: Zero downtime-The Amul Story

In this version of EDB Masterclass, we’ll talk about The story of Amul- a business that started India’s white revolution and made India the world’s biggest maker of milk and milk products. We invite you to the 4th part of EDB Masterclass where we’ll be joined by Mr. Jagjit Punjrath, OSD at Amul and Mr. Ajit Gadge, CTO, APJ at EDB.

Avoid Postgres Distress Part 2 - Support Solutions

In Support Solutions, the 2nd part of our Postgres Distress series, our Postgres experts will walk you through the various support options available to both experienced and emerging Postgres users. Whether you want to work exclusively with open source Postgres or an EDB backed solution, there is a solution that fits your needs.

Avoid Postgres Distress Part 1 - Flying Solo

Avoid Postgres Distress will cover some of the most common pitfalls emerging Postgres users experience when they decide to implement this open source technology without a trusted support partner. Join our EDB experts for part 1 of a 2 part webinar series to better understand the risk of going it alone with Postgres.

If DataOps is not DevOps Plus Data, What Is It, Exactly?

DataOps, commonly thought to be DevOps plus Data, is gaining popularity. However, DataOps is actually the application of DevOps practices, principles and processes to data analytics pipelines. Properly applied, DataOps can improve data quality, decrease data analytics cycles, automate data cleansing and testing, and result in better decision making for the business. Join Doug Ortiz to learn how DataOps can be leveraged to increase the value realized from your data.

Ask the Expert: Taking High Availability to the Extreme

When do you need to take high availability to the extreme? And how is it achieved with Postgres? Find out at the next Ask the Expert session.