Google BigQuery might be a bit more popular than Mockaroo. We know about 35 links to it since March 2021 and only 26 links to Mockaroo. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 9 months ago
Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining... - Source: dev.to / 9 months ago
Introduction In today's data-driven world, transforming raw data into valuable insights is crucial. This process, however, often involves complex tasks that demand efficiency, scalability, and reliability. Enter dbt Cloud—a powerful tool that simplifies data transformations on Google BigQuery. In this article, we'll take you through a step-by-step guide on how to run BigQuery transformations using dbt Cloud.... - Source: dev.to / 10 months ago
You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: 11 months ago
Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 11 months ago
A quick way to test this out is to use a tool like Mockaroo to generate some test data and then have a Glue Crawler analyse the data in S3 and create the required data catalog entries. - Source: dev.to / 2 months ago
Mockaroo — Mockaroo lets you generate realistic test data in CSV, JSON, SQL, and Excel formats. You can also create mocks for back-end API. - Source: dev.to / 3 months ago
I generated some test data to load into Snowflake using Mockaroo. - Source: dev.to / 4 months ago
So head to Mockaroo, and configure the data model fields to match that of the class you created earlier, for me, it looks like this:. - Source: dev.to / 7 months ago
If you just need to connect to a backend for your frontend development, check out Mockaroo. You can fake up some good data for your frontend to consume. You can upload some data as well. Source: 11 months ago
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Dummi - The smart way to generate random data for your projects.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
JSON Generator - Create mock and sample JSON using a powerful template syntax
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
ExtendsClass JSON Generator - ExtendsClass's JSON generator allows to generate random JSON data from a template.