Year in Review for BigQuery User Friendly SQL
In this year-end edition, Google are pleased to walk you through new SQL capabilities that Google launched in the categories of Enterprise Class, Data Quality and Schema Operations. Enterprise Class For our enterprise data analysts, we are pleased to share new capabilities in BigQuery SQL…
Break down data silos with the new cross-cloud transfer feature of BigQuery Omni
To help customers break down data silos, Google launched BigQuery Omni in 2021. Organizations globally are using BigQuery Omni to analyze data across cloud environments. Now, Google are excited to launch the next big evolution for multi cloud analytics: cross-cloud analytics. Cross-cloud analytics tools help analysts and…
How to simplify and fast-track your data warehouse migrations using BigQuery Migration Service
Migrating data to the cloud can be a daunting task. Especially moving data from warehouses and legacy environments requires a systematic approach. These migrations usually need manual effort and can be error-prone. They are complex and involve several steps such as planning, system setup, query…
Querying Firestore in the Cloud Console
Power up your Firestore queries in the console: we’re excited to announce the launch of the new query builder, adding several major enhancements to the experience. You can now visually construct queries using all the power of the Firestore SDK—query collections or collection groups using…
Moving to Log Analytics for BigQuery export users
If you’ve already centralized your log analysis on BigQuery as your single pane of glass for logs & events…congratulations! You’re already benefiting from BigQuery’s: Petabyte-scale cost-effective analytics, Analyzing heterogeneous data across multi-cloud & hybrid environments, Running on fully-managed serverless data warehouse with enterprise security features, Democratizing analytics…
Streamline your models to production with the Vertex AI Model Registry
Machine learning (ML) is iterative in nature — model improvement is a necessity to drive the best business outcomes. Yet, with the proliferation of model artifacts, it can be difficult to ensure that only the best models make it into production. Data science teams may…
Built with BigQuery: How Tinyclues and Google Cloud deliver the CDP capabilities that marketers need
What are Customer Data Platforms (CDPs) and why do we need them? Today, customers utilize a wide array of devices when interacting with a brand. As an example, think about the last time you bought a shirt. You may start with a search on your…
Cloud Wisdom Weekly: 6 tips to optimize data management and analytics
“Cloud Wisdom Weekly: for tech companies and startups” is a new blog series Google are running to answer common questions their tech and startup customers ask them about how to build apps faster, smarter, and cheaper. In this installment, Google explores how to get started…
Best practices of migrating Hive ACID Tables to BigQuery
Are you looking to migrate a large amount of Hive ACID tables to BigQuery? ACID enabled Hive tables support transactions that accept updates and delete DML operations. In this blog, we will explore migrating Hive ACID tables to BigQuery. The approach explored in this blog…
Controlling your BigQuery costs
Are you worried about controlling your BigQuery costs across multiple projects? In this blog post, you will learn about the different guardrails BigQuery provides to limit costs, and monitor BigQuery consumption. Also, learn how to design the warehouse that scales seamlessly while keeping costs under…
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Recent Posts
- Unlock multimodal search at scale: Combine text & image power with Vertex AI
- 4 ways Gemini for Workspace can help sellers and marketers spend more time doing what they do best
- Find sensitive data faster (but safely) with Google Distributed Cloud’s gen AI search solution
- Updated smart feature settings give users increased choice and control
- Build and refine your audio generation end-to-end with Gemini 1.5 Pro
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