Remove Data Lake Remove Data Workflow Remove Metadata
article thumbnail

Being Data Driven At Stripe With Trino And Iceberg

Data Engineering Podcast

In this episode Kevin Liu shares some of the interesting features that they have built by combining those technologies, as well as the challenges that they face in supporting the myriad workloads that are thrown at this layer of their data platform. What are the other systems that feed into and rely on the Trino/Iceberg service?

Data Lake 147
article thumbnail

Addressing The Challenges Of Component Integration In Data Platform Architectures

Data Engineering Podcast

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Making Sense Of The Technical And Organizational Considerations Of Data Contracts

Data Engineering Podcast

In this episode Abe Gong brings his experiences with the Great Expectations project and community to discuss the technical and organizational considerations involved in implementing these constraints to your data workflows. Atlan is the metadata hub for your data ecosystem. Missing data? Stale dashboards?

Metadata 130
article thumbnail

Toward a Data Mesh (part 2) : Architecture & Technologies

François Nguyen

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. With this 3rd platform generation, you have more real time data analytics and a cost reduction because it is easier to manage this infrastructure in the cloud thanks to managed services. What you have to code is this workflow !

article thumbnail

An Exploration Of What Data Automation Can Provide To Data Engineers And Ascend's Journey To Make It A Reality

Data Engineering Podcast

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. RudderStack helps you build a customer data platform on your warehouse or data lake.

article thumbnail

The Evolution of Table Formats

Monte Carlo

At its core, a table format is a sophisticated metadata layer that defines, organizes, and interprets multiple underlying data files. Table formats incorporate aspects like columns, rows, data types, and relationships, but can also include information about the structure of the data itself.

article thumbnail

Data Orchestration: Defining, Understanding, and Applying

Ascend.io

Data orchestration is the process of efficiently coordinating the movement and processing of data across multiple, disparate systems and services within a company. So, why is data orchestration a big deal? Agility and Adaptability: As businesses grow and evolve, their data needs change.