Data Engineering Podcast

MAY 26, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Powered by Trino, the query engine Apache Iceberg was designed for, Starburst is an open platform with support for all table formats including Apache Iceberg, Hive, and Delta Lake.

Systems 130

Systems Data Lake High Quality Data Google Cloud 130

Knowledge Hut

SEPTEMBER 25, 2023

Skill Requirements for Azure Data Engineer Job Description Here are some important skill requirements that you may find in a job description for Azure Data Engineers: 1. Azure Data Engineers work with these and other solutions. They guarantee that the data is efficiently cleaned, converted, and loaded.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Data Engineering Weekly

OCTOBER 30, 2022

Editor’s Note: The current state of the Data Catalog The results are out for our poll on the current state of the Data Catalogs. The highlights are that 59% of folks think data catalogs are sometimes helpful. We saw in the Data Catalog poll how far it has to go to be helpful and active within a data workflow.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

Monte Carlo

MARCH 24, 2023

Sure, terabytes or even petabytes of data are involved, but generally it’s not the size of the data but everything surrounding the data–workflows, access permissions, layers of dependencies–that pose data migration risks. When you know you can rely on your data, validating successful migrations is easier.

Data Warehouse 52

Data Warehouse AWS Cloud Database 52

phData: Data Engineering

JANUARY 3, 2022

One of our customers needed the ability to export/import data between systems and create data products from this source data. This required applying transformations and filters to the data for various business units. The data was being stored in their data lake (AWS S3) and within their data warehouse (AWS Redshift).

IT 52

IT AWS Software Engineer Software Engineering 52