Most attempts to unify analytics still move data to get the job done: faster pipelines, tighter syncs, more automated ETL. That's real progress, but it's still movement — and every copy created has a cost, whether it shows up as stale data, bloated bills, or lost control over where data lives and who can touch it.
Own Your Data Lifecycle: The Converged Analytics Series
Analytics is converging — Postgres, open lakehouses, and specialized engines are merging into one governed platform. This six-part series traces the full arc: why convergence is happening now, how Postgres data becomes a live analytical estate on Apache Iceberg, and how ClickHouse and WarehousePG query it together with zero duplication. From there, live demos show the model in action — real-time personalization, log and observability consolidation, and governed AI agent access — proving that moving less data, not moving it faster, is what makes an analytics stack defensible, auditable, and yours to control.
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.
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.
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.
6 indicatori chiavi per riconsiderare il tuo supporto di Postgres
I sistemi business critical richiedono un supporto che sia ugualmente business critical; occorre quindi assicurarsi che il proprio contratto di supporto offra delle garanzie adeguate. Scopri insieme a Gianni Ciolli, Vice Presidente di Solutions Architecture in EDB, quali sono i segnali che indicano di ripensare al proprio supporto Postgres.
