dbt Developer Hub

NOVEMBER 29, 2022

Rare photographic evidence of the dbt Labs Professional Services team Since the inception of dbt Labs, our team has been embedded with a variety of different data teams — from an over-stretched-data-team-of-one to a data-mesh-multiverse. We know that building an effective, scalable dbt project takes a lot of effort and brain power.

Project 52

Project Professional Services SQL Coding 52

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. It is easy to get overwhelmed when trying to evaluate different solutions and determine whether they will help you achieve your DataOps goals. Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021.

Consulting 123

Consulting Machine Learning Data Science Data Pipeline 123

phData: Data Engineering

JANUARY 3, 2022

However, as your business scales, and you’re confronted with data from more sources (or providing more data for your customers), the need for data transformations, preparation, and analysis grows beyond just reporting. However, defining how each of these is going to be accomplished is core to any software engineering product/project.

IT 52

IT AWS Software Engineer Software Engineering 52

phData: Data Engineering

JULY 18, 2023

Perhaps the largest roadblock of this data-driven utopia is the continued reliance on a patchwork of legacy, on-premise technologies like Teradata, Netezza, Oracle, etc., that just can’t keep up with future data demands as data usage and storage skyrocket.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Monte Carlo

MAY 17, 2023

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52