Float is the world's leading resource management software for agencies, studios, and firms. Since 2012, Float has been helping the world’s best teams including RGA, VICE, Deloitte, and Buzzfeed schedule and deliver over 5.5million tasks, in more than 150 countries.
With an easy to use, intuitive interface, drag and drop features, and powerful editing tools, Float makes planning your projects and scheduling your team's time visual and simple. Search your schedule for practically anything and track your team's utilization with powerful reporting tools. Forecast your budget spend and plan ahead based on your team's real capacity and resources.
Integrate your schedule with Slack, Google Calendar and 1,000+ of your apps via Zapier. Access and update your Float schedule from anywhere with apps for iOS and Android.
By providing a single view of your real resource capacity and a shared calendar of who's working on what, Float makes team scheduling across multiple projects faster, easier and more efficient.
Based on our record, Google BigQuery seems to be a lot more popular than Float. While we know about 36 links to Google BigQuery, we've tracked only 2 mentions of Float. 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.
GCP offers a comprehensive suite of cloud services, including Compute Engine, App Engine, and Cloud Run. This translates to unparalleled control over your infrastructure and deployment configurations. Designed for large-scale applications, GCP effortlessly scales to accommodate significant traffic growth. Additionally, for projects heavily reliant on Google services like BigQuery, Cloud Storage, or AI/ML tools,... - Source: dev.to / 1 day ago
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 / 10 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 / 10 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 / 11 months ago
You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: about 1 year ago
You wouldn't want something like NetSuite just for time entry. Try float.com, one of my clients uses this and it seems to be work and is simple. Source: over 2 years ago
Schedule more than one task to a team member per day i.e. Hours per task per day - float.com and avasa.com allows this. Source: over 2 years ago
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