dbt Developer Hub

FEBRUARY 7, 2022

You can follow along with Donny's data modeling technique for identity resolution in this dbt project repo. So, I thought it only apt to build on the collective reverence for these tasty, crunchy snacks to talk about customer 360 views. To do so, they want to build out their sales motion to target companies with active gaggles.

Data Warehouse 52

Data Warehouse Datasets Data SQL 52

dbt Developer Hub

NOVEMBER 28, 2021

So I challenge you after reading this article to test out your skillsets, think about the code that you find yourself reusing again and again, and build a package. It could contain models that help you model your SaaS dataset in a manner of minutes (I’m looking at you, Fivetran Salesforce package). Add in your package contents.

Building 52

Building SQL Coding Datasets 52

dbt Developer Hub

APRIL 30, 2019

As the maintainers of dbt, and analytics consultants, at Fishtown Analytics (now dbt Labs) we build a lot of dbt projects. Instead, use this as a guide once you’ve already got an idea of what you’re building for how you should break the transformations up into separate dbt models. Still confused? An example might help!

Project 40

Project Database-centric Raw Data Data Warehouse 40

Rock the JVM

JUNE 20, 2022

using Slick how to use Postgres specific data types using slick-pg how to auto-generate Slick schema from database For this blog, we will build a basic database for movies and related entities. There are many other ways to connect to the database, which can be found in the docs. For that, we need to provide a JDBC Profile.

Scala 40

Scala PostgreSQL Database SQL 40

Christophe Blefari

MAY 12, 2023

Even if as human we want to send models in the arena to get the most performant one, or masturbate ourselves comparing the size of parameters. In the end the best integrated models will win. Here are the major takeaways from the Keynote: They release PaLM 2, the last foundation model.

Data 130

Data Data Storage SQL Coding 130

Datakin

OCTOBER 14, 2021

If you use Datakin to observe your dbt models as they run, you can always know exactly where your datasets came from and how they were created. These are most conveniently found in Docs page of your Datakin instance. So amazing, in fact, that it’s easy to end up doing tons and tons of transformations on all kinds of datasets.

Google Cloud 52

Google Cloud Datasets Bytes Metadata 52

DoorDash Engineering

SEPTEMBER 19, 2023

As a tech company, it’s our products and platform – and the engineers that build them – that power what DoorDash is able to offer our Consumers, Dashers, and Merchants every day. Efficiency refers to building software that meets intended functions with appropriate resources through efficient code, optimization and reusing existing platforms.

Engineering 88

Engineering Recruitment Certification Data Analysis 88

dbt Developer Hub

NOVEMBER 28, 2021

We build a product based on the standards, conventions, and capabilities that are created there, and at least 70% of our engineering time is spent in contribution. My models process the data so that it's easy to perform analysis and spot trends. That's why I built a mini-warehouse for studying community growth.

Raw Data 52

Raw Data Metadata Datasets Database 52

DoorDash Engineering

MARCH 7, 2023

While most engineering tooling at DoorDash is focused on making safe incremental improvements to existing systems, in part by testing in production (learn more about our end-to-end testing strategy ), this is not always the best approach when launching an entirely new business line. docker-compose.yml version: '3.8'

AWS 119

AWS PostgreSQL Database SQL 119

Tweag

MAY 1, 2024

More precisely, disciplined programming: The Nix store enforces referential integrity on the file system and constrains processes to act like pure functions , and it facilitates distributed, incremental computation. There were many incremental improvements to Nixpkgs reference manual , and work is ongoing to further increase coverage.

Architecture 95

Architecture Project Coding Designing 95

dbt Developer Hub

OCTOBER 14, 2021

dbt build is here! ? This command executes everything you'd want to do in the DAG, in order, and does it with attitude opinions: Run models, test tests, snapshot snapshots and seed seeds while prioritizing quality and resiliency. dbt Cloud v1.1.36 - v1.1.37 ​ Changelog + docs located here. Get started here. Read more here.

Metadata 52

Metadata BI Software Engineer Software Engineering 52

Monte Carlo

AUGUST 30, 2023

dbt (data build tool) is a SQL-based command-line tool that offers native testing features. More specifically, teams use dbt to write transformations as SQL queries, version control the code, and deploy transformations incrementally. Generic, predefined tests are out-of-the-box tests that you can apply across multiple data models.

SQL 52

SQL Datasets Database High Quality Data 52

dbt Developer Hub

MAY 18, 2022

In this article, we’ll cover: A simplified explanation of how Redshift clusters work What distribution styles are and what they mean Where to use distribution styles and the tradeoffs What sort keys are and how to use them How to use all these concepts to optimize your dbt models. These configurations don’t work on views or ephemeral models.

Raw Data 59

Raw Data Consulting Datasets IT 59

Cloudera

APRIL 21, 2021

Following our decision to upgrade, we went through the upgrade docs to determine what preparations we would need to make. Our project plan spanned three months, with most of the time spent preparing workloads for the upgrade, testing them on a CDP environment, and incrementally making the system-level changes we needed to be ready.

Cloud 116

Cloud Professional Services Java Data Warehouse 116

ProjectPro

APRIL 11, 2015

The below image illustrates the architecture model of distributed computing where the primary node has unidirectional control over one or more secondary nodes. Distributed Computing Systems provide incremental growth so that organizations can add software and computation power in increments as and when business needs.

Cloud Computing 52

Cloud Computing Cloud Hadoop AWS 52