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Tutorials

ComputingDesignEngineering

Saving money never goes out of style. Today, many of our customers use Compute Engine resource-based committed use discounts (CUDs) to help them save on steady-state compute usage within a specific machine family and region. As part of our commitment to offer more flexible and easy ways for you to manage your spend, we now …

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EngineeringSoftware Engineering

Apache Beam is an open source, unified programming model with a set of language-specific SDKs for defining and executing data processing workflows.Scio, pronounced shee-o, is Scala API for Beam developed by Spotify to build both Batch and Streaming pipelines. In this blog we will uncover the need for SCIO and a few reference patterns. Why …

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Engineering

Editor’s notes: In this guest blog, we have the pleasure of inviting Alok Pareek, Founder & EVP Products, at Striim to share latest experimental results from a performance study on real-time data integration from Oracle to Google Cloud BigQuery using Striim. Relational databases like Oracle are designed to store data, but they aren’t well suited …

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Engineering

The Best Sunday of Summer! Is it already past October? Trust me, this 7-part blog-series journey with you all has been very eventful for me and I had the most fun, experimenting with various Google Cloud databases, serverless options, fun Machine Learning use cases and what not! It was an enthralling Google Cloud Summer spread, …

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DataEngineeringTools

Each day, countless documents are created, revised, and shared across organizations. The result is a treasure trove of information, but because the data is primarily unstructured — without rows, columns or some other predefined organizational schema — it is difficult to interpret, analyze or use for business processes. That’s why we introduced Document AI: so …

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DataEngineering

AI is at a tipping point. We are seeing the impact of AI across more and more industries and use cases. Organizations with varying levels of ML expertise are solving business-critical problems with AI — from creating compelling customer experiences, to optimizing operations, to automating routine tasks, these organizations learn to innovate faster and ultimately, …

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Engineering

Running applications and workloads in containers is becoming a standard practice for most organizations, especially organizations running in the cloud. This is due to the many benefits of designing applications as microservices. These benefits include increased scalability, better resiliency, faster deployments etc. As a result of this new ability to develop and push features faster, …

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DataEngineering

The Cloud Spanner NHibernate Dialect is now Generally Available Introduction Do you have an application that you developed with NHibernate and now you want to migrate to a cloud database? Google Cloud Spanner now supports the NHibernate Object Relational Mapper. You can reuse existing NHibernate code with the Cloud Spanner NHibernate dialect, or write new …

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EngineeringTools

High availability is an important consideration for many customers and we’re happy to introduce health checking for private workloads in Cloud DNS to build business continuity/disaster recovery (BC/DR) architectures. Typical BC/DR architectures are built using multi-regional deployments on Google Cloud. In a previous blog post, we showed how highly available global applications can be published …

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DataEngineeringTools

Over one third of organizations believe that data analytics and machine learning have the most potential to significantly alter the way they run business over the next 3 to 5 years. However, only 26% of organizations are data driven. One of the biggest reasons for this gap is that a major portion of the data …

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