Name: Boston Lakehouse Meetup: Iceberg in Action (LIVE - Dremio/Akamai - Cambridge, MA
Start: 2025-05-07T18:00:00-04:00
End: 2025-05-07T21:00:00-04:00
Location: Akamai

Join us at Akamai’s office for refreshments for a few presentations about the Iceberg Lakehouse from 6-9pm. Presentation include:

————
**Architecting an Iceberg Lakehouse**
**From Alex Merced, Head of DevRel, Dremio**

Building a production-grade Iceberg lakehouse takes more than just a table format—it requires a full architectural blueprint. This talk takes a layered view of the modern lakehouse stack, walking through the essential components: cloud object storage, data ingestion pipelines, catalog and governance layers, federation and integration points, and query and consumption engines. We'll explore how Iceberg fits into each layer, how to make key design decisions, and what best practices have emerged for assembling a scalable, open data platform. Whether you're building from scratch or maturing an existing stack, this session is your architectural guide to making Iceberg work in the real world.

———

**Building Egnatia: How We’re Powering Next-Gen Data at Akamai with Apache Iceberg**
**From Endi Caushi, Senior Software Engineer, Akamai**

At Akamai, we’ve embarked on a journey to modernize our data infrastructure with Apache Iceberg at its core. In this session, we’ll share how we’re building Egnatia, our internal data platform designed to be scalable, efficient, and cloud-native—empowering teams across the company to work more effectively with data.

We’ll talk about why we chose Iceberg to underpin our lakehouse architecture, and how it’s helping us solve critical challenges like data consistency, delayed processing, and rigid schemas. From replacing legacy Perl-based pipelines to enabling real-time backfilling, Egnatia is transforming how we ingest, manage, and analyze data.

We’ll also highlight the technologies surrounding Iceberg in our ecosystem—including DuckDB for preprocessing, Argo Workflows for orchestration, Volcano as a batch scheduler, Hive Metastore as a data catalog and Trino for interactive queries—as well as how we’re running this stack on Kubernetes and S3-compatible object storage.

We’ll close with a behind-the-scenes look at our roadmap—how we’re evolving the Egnatia platform to scale further, improve reliability and observability, and accelerate data delivery across the organization with greater accuracy and efficiency.

\-\-\-\-\-\-\-
**Amazon S3**
**Sean Sullivan**
**staff engineer, Grubhub**

Modern systems need to manage an increasing amount of data. Amazon's Simple Storage Service (S3) is an important building block for large data applications. In this talk, we will share our experiences and lessons learned from using S3 in Java based systems.
We'll cover technical challenges that Java developers face when writing S3 code with the AWS SDK. We will discuss design decisions, application dependencies, and error handling. We'll share mistakes that we made and bugs that we encountered.

\-\-\-\-\-\-

Register Today and make sure to include your full name with Registration and ID will be needed to enter venue. Venue details will be sent to all registrants on this meetup.com event

Alex Merced

Endi Caushi

North American Open Data Lakehouse Linkups

Technology

Open Source

Database Professionals

Software Development

Data Management

Big Data

Data Analytics

Data Visualization

Boston Lakehouse Meetup: Iceberg in Action (LIVE - Dremio/Akamai - Cambridge, MA

Akamai

Share

North American Open Data Lakehouse Linkups

Boston Lakehouse Meetup: Iceberg in Action (LIVE - Dremio/Akamai - Cambridge, MA

North American Open Data Lakehouse Linkups

Details

Members are also interested in