What options do you have after running a query in BigQuery's web UI?
After running a query in BigQuery's web UI, you have several options available to explore and analyze the results. These options are designed to provide you with a comprehensive set of tools for further investigation and visualization of your data. In this answer, we will discuss the various options at your disposal and explain their functionality in detail.
1. Viewing the Query Results: The most basic option is to view the query results directly in the web UI. The results are displayed in a tabular format, allowing you to scroll through the data and examine the individual rows. This view provides a quick overview of the outcome of your query.
2. Exporting the Results: If you need to work with the query results outside of BigQuery, you can export them in various formats such as CSV, JSON, or Avro. This option enables you to download the data and analyze it using other tools or share it with colleagues who may not have access to BigQuery.
3. Saving the Results as a Table: You can save the query results as a new table in your BigQuery dataset. This is particularly useful if you want to perform further analysis on the same data or if you need to reference the results in future queries. By saving the results as a table, you can easily access and query them without rerunning the original query.
4. Visualizing the Results: BigQuery's web UI provides built-in visualization capabilities that allow you to create charts and graphs based on your query results. This feature is helpful for gaining insights from your data and presenting it in a more intuitive and visually appealing manner. You can choose from various chart types, such as bar charts, line charts, pie charts, and scatter plots, to effectively communicate your findings.
5. Exploring the Data with BigQuery ML: BigQuery ML is a powerful machine learning tool integrated with BigQuery. After running a query, you can use BigQuery ML to build and train machine learning models directly on your query results. This option enables you to extract patterns and make predictions based on your data, providing advanced analytical capabilities without the need to export the data to external ML platforms.
6. Sharing and Collaboration: BigQuery's web UI allows you to share your query results, tables, and visualizations with other users in your organization. You can grant them different levels of access, such as view-only or edit permissions, facilitating collaboration and knowledge sharing within your team.
7. Query History and Job Details: The web UI maintains a history of your executed queries, including details such as query duration, bytes processed, and the user who executed the query. This information can be valuable for performance optimization and tracking your query usage.
BigQuery's web UI offers a range of options for exploring and analyzing the results of your queries. You can view, export, save, and visualize the data, as well as leverage machine learning capabilities and collaborate with others. These features empower you to extract meaningful insights from your data and make informed decisions.
Other recent questions and answers regarding EITC/CL/GCP Google Cloud Platform:
- How to calculate the IP address range for a subnet?
- What is the difference between Cloud AutoML and Cloud AI Platform?
- What is the difference between Big Table and BigQuery?
- How to configure the load balancing in GCP for a use case of multiple backend web servers with WordPress, assuring that the database is consistent accross the many back-ends (web servwers) WordPress instances?
- Does it make sense to implement load balancing when using only a single backend web server?
- If Cloud Shell provides a pre-configured shell with the Cloud SDK and it does not need local resources, what is the advantage of using a local installation of Cloud SDK instead of using Cloud Shell by means of Cloud Console?
- Is there an Android mobile application that can be used for management of Google Cloud Platform?
- What are the ways to manage the Google Cloud Platform ?
- What is cloud computing?
- What is the difference between Bigquery and Cloud SQL
View more questions and answers in EITC/CL/GCP Google Cloud Platform