Google BigQuery is a fully managed, serverless data warehouse that allows you to analyze massive datasets at impressive speeds using SQL queries.
Google BigQuery is a serverless, cost-effective, and multi-cloud data warehouse. Thanks to its fast deployment cycle and on-demand pricing, Google BigQuery enables scalable and interactive analysis of massive datasets for businesses ranging from mid-size to enterprise.
With Databox, you can visualize your most important business data in a fast and efficient way. You can use queries to pull data directly from BigQuery and present it alongside KPIs from other applications you may be using, like Google Analytics, Salesforce, and Mixpanel. By visualizing multi-source data in relevant dashboards, you can transform your most important KPIs into meaningful insights that you can use to make better data-driven decisions and inform your teams on desktop, mobile, Apple Watch, TV display, or Slack channels.
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Databox recommends to group data by day in the SQL query in Metric Builder. If you have several entries for the same date, you need to configure your SQL query to group all values for the given day. You can use Aggregation Functions such as SUM, MIN, MAX, AVG, Count in the SQL query and GROUP BY date DESC to take all values for a day into consideration and compute them based on used Aggregated Function to display all data from your SQL database. You can learn more about Data Types in Databox here.