| | | | | | July 2025 - Product Update |  | | | | Product News and Updates | | | Looker developers gain speed and accuracy with debut of Continuous Integration With more than a thousand connected data sources available out-of-the-box and an untold number of custom tools, developers rely on Looker's cloud-first, open-source-friendly model to create new data interpretations and experiences. Now, we are taking a page from modern software engineering principles with our launch of Continuous Integration for Looker, which will help speed up development and help developers take Looker to new places. | Chat with confidence: Unpacking security in Looker Conversational Analytics The rise of powerful generative AI models like Gemini brings incredible opportunities for innovation and efficiency. But you need a responsible and secure approach to data. At Google Cloud, the privacy of your data is a fundamental priority when you use Gemini models, and we designed our data governance practices to give you control and peace of mind. | How to tap into natural language AI services using the Conversational Analytics API The Conversational Analytics API lets you use everyday language to ask questions of your data in BigQuery or Looker, with more sources to come. This brings powerful business intelligence to your entire organization through the apps you already use, like Slack. Developers can also build custom data agents that understand your business and provide answers where they're needed. | New alignment option for Cartesian charts in Looker Studio The new Align with grid setting lets you set the alignment of the chart legend with the position of the chart grid, instead of aligning with the chart title. This setting is available for Cartesian charts in reports that have modern charts enabled. | Looker Studio viewers can now report abusive content Content is automatically reviewed, and content that is reported as abusive is hidden or deleted. | | See the latest updates from our Help Center for Looker Studio here, and for Looker here. | | | | Tips and Tricks | | | Looker Continuous Integration: A helpful LookML development partner Looker CI is like a second reviewer for your new code. It adds automated testing and eliminates the headaches we've had to endure from broken dashboards and cryptic SQL errors that used to spawn more questions than they answer. It allows you to deliver more reliable content and allows you to make updates that are only seen as improvements, keeping your content dependable and trusted. | Answering your toughest data questions with Code Interpreter in Looker Code Interpreter is a powerful new capability within Conversational Analytics that brings the power of Gemini to your Looker data. Code Interpreter helps you answer complicated questions (e.g., "Which of my customers are likely to churn?") that used to involve queuing up in your data science team's backlog and possibly waiting days or weeks for an answer. | A Blueprint for Scalable LookML: layered structure For many developers, the dream of simple, insightful data can be a real challenge as projects scale. If you've experienced challenges with large files or merge conflicts, you're not alone. This article introduces how you can use a scalable LookML structure to keep your database schema in sync and avoid merge conflicts, making your LookML more organized, easier to manage, and much more efficient. | | | | Data Cloud Spotlight | | | Beyond the Dashboard: Driving Business Impact with Looker Core and BigQuery Ready to move beyond basic reporting and truly drive business impact with your Google Cloud data? This webinar on August 7th will showcase Looker Core on Google Cloud as the essential analytics layer for your Google Cloud ecosystem. We'll demonstrate how Looker empowers users of all technical levels to access and analyze data, build custom applications, and integrate insights directly into their workflows. | This migration from Snowflake to BigQuery accelerated model building and cut costs in half "With other data platforms, the data has to be massaged before you can work with it: a time-consuming, often manual process. BigQuery is built to quickly ingest and aggregate data in many different formats, and its query engine allows us to work with data right away in whatever format it lands. Coupled with Looker, we can create easy-to-understand visualizations of the complex data in BigQuery without ever leaving Google Cloud." | | | | | | | Thanks for reading our monthly update. | | | Happy Reporting, The Looker Team | | | | | | © 2025 Google LLC 1600 Amphitheatre Parkway, Mountain View, CA 94043 | | This email was sent to pulipuli.chen@gmail.com because you indicated that you want to receive announcements about the latest changes, enhancements, and new features from the Looker Studio team. If you do not wish to receive such emails in the future, please unsubscribe here. | | |
