Webinars

Webinars

Upcoming Webinars

Beyond the Latency Gap: Building Sovereign, Real-Time Agentic Applications on a Unified Postgres Estate

(EDT)
Although enterprises have invested in extracting, storing, and moving massive amounts of data, only 13% are successfully achieving ROI from their AI initiatives, according to a global study of over 2,000 executives. To overcome the challenges of data fragmentation, which can hinder AI implementation, companies need a transition to real-time workloads across the data to AI stack.

Join the Era of Agentic AI with EDB Postgres AI

(EDT)
As organizations shift to agentic AI, the divide between transactional and warehouse data must disappear. To power AI agents that reason in real-time, you need a data platform that is modern, observable, sovereign, with governance built in. Join our live session to learn how EDB Postgres AI eliminates silos and simplifies your architecture across hybrid estates.

소버린 AI 전문가와 함께하는 EDB 웨비나

(JST)
기업들이 에이전틱 AI(Agentic AI) 시대로 전환함에 따라, 트랜잭션 데이터와 데이터 웨어하우스 간의 경계는 허물어져야 합니다. 실시간으로 상황을 판단하고 추론하는 AI 에이전트를 원활하게 구동하기 위해서는 현대적이고 가시성이 확보되며, 데이터 주권과 강력한 거버넌스가 내장된 데이터 플랫폼이 필수적입니다.

Join the Era of Agentic AI with EDB Postgres AI

(EDT)
The future belongs to platforms that can support both agentic AI and the data infrastructure behind it. Evolve your organization from traditional environments to agentic databases—modern data platforms that are AI native, observable, sovereign, and built to operate across hybrid estates.

On-demand

Exploring the Consistency-Availability-Partition (CAP) Theorem

In this webinar, we will explore the trade-offs that you need to make when drawing an architecture for a Relational Database Management System like PostgreSQL. We will conclude with some practical use cases, explaining the constraints, the problems and how we solve them.

Beyond Joins and Indexes: Explaining the Postgres Query Optimizer, Part 2

As a follow up to the presentation, Explaining the Postgres Query Optimizer, this webinar covers the details of query optimization, optimizer statistics, joins, and indexes. This talk covers 42 other operations the optimizer can choose to handle complex queries, large data sets, and to enhance performance. These include merge append, gather, memoize, and hash aggregate. It explains their purpose and shows queries that can generate these operations.

Explaining the Postgres Query Optimizer

The query optimizer is considered the brain of the Postgres database, interpreting SQL queries and determining the optimal method of execution. In this webinar, Bruce Momjian, Postgres Evangelist will cover how the query optimizer interprets queries using the EXPLAIN command. Join this webinar to better understand how you can improve querying behavior using the optimizer.

Data Analytics in the Cloud with Postgres Window Functions

It was far more than just a lucky break that Postgres has become so well-respected for its exceptional analytics capabilities. The Window function is one of the driving forces behind this success—it enables users to quickly and easily execute complex queries and calculations to gain valuable insights with minimal effort. That’s what spurred Bruce Momijian VP, Postgres Evangelist, and co-founder of the PostgreSQL community and Marc Linster, EDB CTO, to put together their latest webinar to extensively demonstrate the Postgres Window function.

Postgresを活用した安心・安全なデータ保護とは~EPAS15の新機能

2022年10月にPostgreSQL15がリリースされた事を受け、EDBはEDB Postgres Advanced Server v15(以下EPAS)をローンチしました。EPAS 15は、TDE(透過的データベース暗号化) や、高セキュリティ、Oracle互換新機能を追加し、最も安全なPostgres環境を実現します。

Database Downtime: The Major Ways Your Database is Hurting Your Brand and Customer Experience

In this 45-minute webinar, hosted by Celest Turner Hall, EDB senior leaders Kelly Poole, Jerry Hemenway and Tom Rieger will discuss the major ways your database architecture could be failing your business, causing frustrating planned or unplanned downtime, increasing regulatory or monetary risks and even data non-compliance.