With a real-time overview of your organization's resources, projects, and tasks, Ganttic simplifies resource scheduling and management. Visual Gantt charts help you to not only allocate resource quickly, but check in on the progress of your projects. While features such as drag and drop scheduling make it easy to update plans smoothly and on-the-go.
With Ganttic you can make a clear plan of action for your projects and their capacity planning. Plus, built in metrics such as utilization tracking ensures you're getting the best efficiency from your team. Create plans from the POV of resources or projects, switching at anytime for new insights.
All this plus automated reports, unlimited sharing and users, and world-class customer support make Ganttic the perfect planner for your resource planning. For the past 10 years Ganttic has been serving clients from every industry and in every corner of the world. Start with a free trial and see why!
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Ganttic is for managers unsatisfied with their one-size-fits-all software, and anyone who is looking for something more customizable, flexible and personalized.
Based on our record, Google BigQuery seems to be more popular. It has been mentiond 36 times since March 2021. 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 / 4 days 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
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