Configure highly available data and real-time analytics to optimize performance, improve decision-making, and unlock new value.
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Ready to take your surveying to the next level and build an experience management data warehouse?From Google Forms to Google Cloud Platform. Your XM data warehouse will leverage three main technologies: Cloud Dataprep by Trifacta, BigQuery, and Data Studio or Looker.Get started today by visiting Codelab, digging into the technical guide, or checking out this video walkthrough.You can access all of Google Cloud patterns on their Smart Analytics Reference Patterns page.https://cloud.google.com/blog/products/data-analytics/creating-an-experience-management-data-warehouse-with-survey-responsesby NBC
Major League Baseball migrates to Google Cloud to develop a unified data plane across its complex operations to drive fan engagement and increase operational efficiency. Just so everybody knows (we have a global audience), Major League Baseball, which is North America’s oldest and most-attended professional sports league, consists of 30 member teams in the United States and Canada. It is America’s “Past time” and almost everyone loves baseball. So check this out: “The fundamental goal is fan engagement—to bring baseball to millions of fans and introduce new technology that allows for personalized recommendations and a social viewing experience, where when something happens on the field and you get excited about it, you can share it with other fans. These are the things that really motivate us and Google Cloud has been a great partner in building products that embody those values.” —Jason Gaedtke, CTO (former), MLBYou can read the full article here. Is this interesting for you? Wou
Did you see the announcement today? Google has been named a Leader in The Forrester Wave™: Cloud Data Warehouse, Q1 2021 report. For more than a decade, BigQuery, Google’s petabyte-scale cloud data warehouse, has been in a class of its own. Google wants to thank our strong community of customers and partners for voicing their opinion. “We believe this report validates the alignment of our strategy with our customers’ analytics needs.”Are you using BigQuery in your work, or do you plan to?Would you like to continue discussions on this thread? Should we invite the author of the blog to do a session for interactive Q&A? (Hint: I know him.) Let us know.
@OttoSchell welcome to C2C! I’m curious, when you, as the expert, don’t know the answer who do you go to or where do you turn? Feel free to @ people and/or invite others to the community and conversation or share resources that would be helpful to the entire group. Look forward to hearing your responses!
Google Cloud’s databases and analytics products such as BigQuery, Dataflow, Pub/Sub and Firestore brought Theta Labs unlimited scale and performance, allowing them to: Analyze streaming viewership data for real-time for analytics Forecast how many concurrent users to support during livestream events Predict reputation scores for thousands of edge nodes and address bad actors or underperformance Create the listener/subscriber for the topic the ETL pipeline publishes and ingest into BigQuery tables running fast queries Isn’t it an inspiring work? What do you think?
Today, I read this article about Looker: https://cloud.google.com/blog/topics/training-certifications/how-to-use-looker-on-google-cloud-for-data-governanceThe truth is that I haven’t used it, yet. Instead, I have worked with Dataprep for cleaning data and Data Studio for dashboards.Has anyone used it? Let me know what you think about this. And also, if anyone has used Looker and Dataprep to compare them, this would be even better!
5 days , 21 hours of free training to improve your data processing skills through flexible hands-on training and practical tips provided by expertseam from concept to common use cases and best practices.5 days, 21 hours to bring your skills to the next level to make your daily job more productive. To learn best practices that can help you solve your more advanced/large scale data processing applications, or to improve performance and reduce costs of your Apache Beam pipelines, or simply ask questions to a team of Apache Beam experts.The free training webinars sponsored by the open source community including Google Cloud could be of value to you and team. Key topics include:The Data Processing ecosystem and distributed processing the Beam way Advanced distributed data processing Scaling and productionalizing your Beam pipelines Strategies for performance and cost optimization Best practices for debugging Beam pipelinesRegister now 👉 https://beamcollege.dev/
C2C member, speaker, and France group leader, @guillaume blaquiere wrote this on Medium and I thought it’d be a great article to share for Tips and Best Practices curation. Here’s Guillaume’s intro to the post:Cloud components are useful and powerful. However, they are all disconnected from the others and when you want to deploy a full pipeline, you need to glue them. You can achieve this with PubSub and Cloud Functions.However, it quickly becomes a spaghetti design with a lot of topics and functions. Having a centralized place to see, manage and configure your pipeline workflow could be great! You can read the full article and Guillaume’s tips here: https://medium.com/google-cloud/parallel-executions-with-google-workflows-3a16f8fee0eb
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