Cloud Computing

When looking for insights, users leave no stone unturned, peppering the data warehouse with a variety of queries to find the answers to their questions. Some of those queries consume a lot of computational resources — and many of those queries closely resemble one another. To further speed up query execution, we developed BigQuery history-based […]

As a startup founder, you’re juggling a million things – building your team, securing funding, and perfecting your product. Google for Startups is here to help you navigate the chaos and accelerate your growth. We offer a variety of high-touch programs tailored to different stages and needs, including: Google for Startups Accelerators: Intensive 10-week programs

This post was co-written with Ran Isenberg, Principal Software Architect at CyberArk and an AWS Serverless Hero. Serverless architectures enable agility and simplified cloud resource management. Organizations embracing serverless architectures build robust, distributed cloud applications. As organizations grow and the number of development teams increases, maintaining architectural consistency, standardization, and governance across projects becomes crucial.

When developing a real-time architecture, there are two fundamental questions that you need to ask yourself in order to make the right technology choice: Freshness – how fast does the data need to be available? Query latency – how fast do you need to be able to retrieve the data once it is available?  For

If you leverage Google Kubernetes Engine (GKE) within your Google Cloud environment, you’ve likely encountered the confidence-shattering “IP_SPACE_EXHAUSTED” error.  It’s a common scenario: you’re convinced your IP address planning is flawless, your subnet design is future-proof, and then suddenly, your GKE cluster unexpectedly hits a scaling roadblock. You start to question your subnetting skills. How

As your Google Cloud usage expands, managing and understanding your cloud costs can become increasingly complex. As you drive adoption of cloud FinOps in your organization, identifying exactly which teams, projects, or services are driving your expenses is essential. That’s why we’re excited to introduce the Google Cloud Cost Attribution Solution. This comprehensive suite of

For several years, BigQuery native tables have supported enterprise-level data management capabilities such as ACID transactions, streaming ingestion, and automatic storage optimizations. Many BigQuery customers store data in data lakes using open-source file formats such as Apache Parquet and table formats such as Apache Iceberg. In 2022, we launched BigLake tables to allow customers to