Mar 18, 2023
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By Jagan R. Athreya
BigQuery’s serverless architecture features storage and query optimizations that deliver transformational data analytics performance.
Mar 13, 2023
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By Neeraj Gupta
How Sift Delivers Fraud Detection Workflow Backtesting at Scale powered by BigQuery.
Mar 3, 2023
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By Remy Welch
Retail companies can easily visualize and analyze their geospatial data in BigQuery using the CARTO platform.
Mar 2, 2023
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By Kevin Bowman
Unify data from diverse sources and formats using Aiven Kafka's open source streaming. Analyze with BigQuery for swift, accurate insights.
Mar 2, 2023
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By Dr. Ali Arsanjani
Elements of the Google Data Cloud including BigQuery, DataFlow, and Vertex AI are behind Glean’s personalized enterprise search platform.
Feb 24, 2023
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By Ido Peretz
Datastream, a serverless database replication service, has integrated with Terraform to enhance app modernization, data analytics and ML pipelines.
Feb 22, 2023
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By Mitesh Shah
How Denodo Platform’s data integration and data management capabilities work seamlessly with BigQuery.
Feb 16, 2023
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By Dr. Ali Arsanjani
Built with BigQuery: Aible's Serverless Journey to challenge the Cost vs. Performance Paradigm
Feb 15, 2023
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By Dr. Ali Arsanjani
Leverege uses BigQuery as a key component of its data and analytics pipeline to deliver innovative IoT solutions at scale.
Dec 15, 2022
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By Google BigQuery
Are you having trouble creating and running scheduled jobs in BigQuery, and would like to implement it in your production and development pipelines? Check out this video where we will be discussing BigQuery's scheduled queries feature, and the IAM permissions needed to create and configure them. We will show you how to configure and schedule queries and the configuration options available. Watch this video to learn some important caveats and how to overcome them while using scheduled queries in BigQuery.
Dec 8, 2022
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By Google BigQuery
Would you like to know how to manage your workloads efficiently? Are you interested in learning how to share the slots across different workloads/projects?
Nov 17, 2022
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By Google BigQuery
Welcome back to the marketing analytics series where we teach practitioners about Google Cloud marketing analytics solutions. In this video, Kelci shows how you can democratize marketing data with BigQuery and Looker. Watch to see how you can use Looker Blocks and Looker Action to help your company achieve a successful marketing mata strategy and share insights across your organization. Chapters.
Nov 15, 2022
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By Google BigQuery
Are you working with separate systems to analyze structured and unstructured data? Introducing BigQuery object tables, a new type of table in BigQuery that provides a structured record interface for unstructured data in Google Cloud Storage. Watch to see how object tables extend Google data cloud’s best practices of securing, sharing, and governing structured data to unstructured, without needing to learn or deploy new tools.
Nov 2, 2022
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By Google BigQuery
The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. Google Cloud Skills Boost provides real Google Cloud environments that help developers and IT professionals learn cloud platforms and software, such as Firebase, Kubernetes, and more.
Oct 19, 2022
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By Google BigQuery
Welcome back to the Marketing Analytics Series! In this video, Kelci will demonstrate how to ingest and query marketing data with BigQuery. From an augmented understanding of your data to leveraging BigQuery’s public datasets, discover how you too can break down marketing data silos with BigQuery.
Oct 8, 2022
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By Google BigQuery
How does a tweet go from one person to hundreds of millions of people? How does the data process so quickly? In this episode of Architecting with Google Cloud, Priyanka chats with Gary and Saurabh from Twitter about how data from over 200 million users goes through the Twitter data center and Google Cloud. Watch along and learn how data stored across tens of thousands of BigQuery tables in Google Cloud runs millions of queries each month.
Sep 15, 2022
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By Google BigQuery
Datastream is a serverless and easy-to-use change data capture and replication service that makes it easy to replicate data from operational databases into BigQuery reliably and with minimal latency. In this video, Gabe Weiss, Developer Advocate at Google, discusses setting up real-time replication from Cloud SQL to BigQuery. Watch along and learn how to get started with Datastream for BigQuery!
Aug 30, 2022
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By Google BigQuery
Do you have lots of Hive ACID tables that you are looking to migrate to Google BigQuery? In this video, Anu Venkataraman, Strategic Cloud Engineer at Google, discusses an approach to migrate Hive ACID tables to BigQuery.
Aug 18, 2022
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By Google BigQuery
How can you deliver data from Looker to third-party services through a custom action hub server? In this episode of Serverless Expeditions Extended, we walk through code to send data from Looker to BigQuery through Cloud Functions. Watch to learn how you can export data from Looker to BigQuery!
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BigQuery is Google's serverless, highly scalable, enterprise data warehouse designed to make all your data analysts productive at an unmatched price-performance. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL without the need for a database administrator.
Analyze all your data by creating a logical data warehouse over managed, columnar storage, as well as data from object storage and spreadsheets. Build and operationalize machine learning solutions with simple SQL. Easily and securely share insights within your organization and beyond as datasets, queries, spreadsheets, and reports. BigQuery allows organizations to capture and analyze data in real time using its powerful streaming ingestion capability so that your insights are always current, and it’s free for up to 1 TB of data analyzed each month and 10 GB of data stored.