Cronycle is an all in one tool for content curation, collaboration, and distribution. Cronycle set of structured Topics span across 50K+ deep domains to give an immediate kickstart for research & curation. Content discovery is made easy with recommended sources like related topics, RSS, and Experts on Twitter. Receive newsletters and aggregate Google Alerts into feeds.
The feeds can be optimized using advanced keyword filters to bring out content specifically useful for you. Feeds can be shared amongst team-members for collaboratively working on curation and filtering. Cronycle provides a dedicated space designed for the collection, enrichment, and publishing of content, called Boards where both individuals and teams can work remotely. Any form of content can be pinned to Boards, either from Feeds or from anywhere across the web. Boards allow curators to highlight, annotate, comment, add summaries for all the pinned content.
Team members working remotely can be notified using mentions on tiles and discussions can be done across teams on content. They can also assign tags to Pinned items either to organize Boards items or to publish as hashtags. Boards have multiple seamless integrations to schedule the pinned items across social media, using social media scheduling tools such as Buffer and Hootsuite. The curated content can also be published on websites via our WordPress plugin or as RSS feeds. A newsletter can also be sent through the boards or hosted on Cronycle.
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Based on our record, Google BigQuery seems to be more popular. It has been mentiond 35 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.
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 / 8 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 / 8 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 / 9 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
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