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…
Automatic data risk management for BigQuery using DLP
Protecting sensitive data and preventing unintended data exposure is critical for businesses. However, many organizations lack the tools to stay on top of where sensitive data resides across their enterprise. It’s particularly concerning when sensitive data shows up in unexpected places – for example, in…
Moving data from the mainframe to the cloud made easy
IBM mainframes have been around since the 1950s and are still vital for many organizations. In recent years many companies that rely on mainframes have been working towards migrating to the cloud. This is motivated by the need to stay relevant, the increasing shortage of…
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Recent Posts
- Dataproc Serverless: Now faster, easier and smarter
- Tips and tricks for project management with Google Workspace
- Doubling calculation speed and other new innovations in Google Sheets
- Continued growth and success in the competitive logistics market
- How to get started with new Gemini model capabilities for Places API
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