![]() How to use Google BigQuery to analyze big data.How to use Google Apps Script with multiple Google services.The goal is to inspire you to use your imagination and consider using both Cloud Console and Google Workspace to solve challenging problems for your organization and your customers. They use Google Drive but not Google Sheets whereas this app uses Sheets but not Drive.įor this codelab, we wanted to bring multiple technologies together into a single app while showcasing features and APIs from across Google Cloud in a way that resembles a real-life use case.They use REST APIs while we use Apps Script services.While the Slides API codelab sample app also features BigQuery and Slides, it differs from this codelab's sample app in several ways: The sample app featured in the Google Slides API codelab.The sample app featured in the Generating slides from spreadsheet data developer video and published in this blog post.The Google Apps Script BigQuery Service sample app that's open-sourced on GitHub.The sample app in this codelab was inspired by these other code samples: This codelab covers Cloud Console's BigQuery API (as an Apps Script advanced service) and the built-in Apps Script services for Google Sheets and Google Slides. This offers a more suitable way to deliver data to management. You can then take the results, insert them into a spreadsheet, and generate a slide presentation with the data. ![]() Google Cloud's developer tools let you perform the deep data analysis. This intermediate Google Apps Script codelab uses 2 Google developer platforms ( Google Workspace and Google Cloud Console) to help you automate that final stretch. Lots of numbers on paper or in a database is hardly presentable to key stakeholders. There are many tools for data scientists to perform big data analyses, but in the end analysts still have to justify results to management. From big data analysis to slide presentation The G1 garbage collector continues to be the clear favorite among users of Java 11 or later, with 65% of New Relic customers using G1.1.70% of Java applications reporting to New Relic do so from a container.The next LTS release, Java 21, is due in September. Non-LTS versions arrive every six months, interrupted only by LTS versions now arriving every two years. But uptake for non-LTS versions, which are supported for only six months, was low, with only 1.6% of applications using them. The most popular non-LTS version of Java is Java 14, released in January 2020.New Relic cites as a reason Oracle’s more restrictive licensing of Java 11 the company has since returned to a more open stance with Java 17. But Oracle slipped to 34% in 2022 and to 28% in 2023. In 2020, Oracle was the most popular JDK vendor by far, with roughly 75% of the market. Amazon is now the most popular JDK vendor, at 31%.Other findings of the 2023 New Relic report: New Relic noted that the data was anonymized to provide a general overview of Java usage, and does not provide a global picture of Java usage. New Relic compiled its report based on data gathered in January 2023 from millions of applications that provide performance data to the company’s observability platform.
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