DoorDash Engineering

MARCH 7, 2023

In the New Verticals organization at DoorDash, we are launching and growing new categories such as alcohol and other regulated goods, health, retail, convenience, and grocery. Building from scratch often requires faster prototyping and customer validation than incremental improvements to an existing system. Often we’re going from zero to one.

AWS 119

AWS PostgreSQL Database SQL 119

DoorDash Engineering

FEBRUARY 7, 2023

In particular, we noticed slower SQL inserts because all the updates went through a single writer instance. Building the database facade layer: The first thing we did as part of the migration was to cut down all the direct database access through a service facade layer named Retail Fulfillment Data Service (RFDS).

PostgreSQL 119

PostgreSQL Retail SQL Database 119

dbt Developer Hub

NOVEMBER 28, 2021

It is very similar to the GitHub script, with only the block at the end differing: for image in images: url = '[link] + image response = requests.get(url) pull_count = response.json()['pull_count'] client.insert_rows(table, [(now,image,pull_count)]) You can see the script in its entirety here. Completed successfully Done.

Raw Data 52

Raw Data Metadata Database Datasets 52

ProjectPro

NOVEMBER 30, 2021

Once you have your key, you must be careful not to insert it into your source code. This indicates a broad range of applicability, from nonprofit organizations to high-volume retail enterprises. Import requests url = r' [link] '.format(url) format(url) raw_string = requests.get(url).content

Process 52

Process Data Pipeline Data Warehouse AWS 52

ProjectPro

AUGUST 21, 2015

Big data analysis is helping businesses differentiate themselves – for example Walmart the world’s largest retailer in 2014 in terms of revenue - is using big data analytics to increase its sales through better predictive analytics, providing customized recommendations and launching new products based on customer preferences and needs.

Hadoop 40

Hadoop Big Data Metadata Java 40