Engineering Archives - Page 72 of 91

4 min

Streaming Data Into BigQuery Using Storage Write API

BigQuery is a serverless, highly scalable, and cost-effective data warehouse that customers love. Similarly, Dataflow is a serverless, horizontally and vertically scaling platform for large scale data processing. Many users…

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4 min

Cloud SQL Launches Support For IAM Conditions And Tags

If you are responsible for administering Cloud SQL instances, securing your databases is one of your top priorities. However, as the number of users using your Cloud SQL instances grows,…

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3 min

Introducing A Google Cloud Architecture Diagramming Tool

You have a cloud use case… How do you go from idea to implementation? The first step in your implementation journey is the architecture diagram. Having an architecture diagram is…

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4 min

Speed Up Your Teradata Migration With The BigQuery Permission Mapper Tool

During a Teradata migration to BigQuery, one complex and time consuming process is migrating Teradata users and their permissions to the respective ones in GCP. This mapping process requires admin…

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14 min

Orchestrating PyTorch ML Workflows On Vertex AI Pipelines

Previously in the PyTorch on Google Cloud series, we trained, tuned and deployed a PyTorch text classification model using Training and Prediction services on Vertex AI. In this post, we…

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3 min

Free Your Mainframe Data With Data-First Digitization

For many enterprises, the venerable mainframe is home to decades’ worth of data about the company’s customers, processes and operations. And it goes without saying that the business would like…

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7 min

Data Modernization With Google Cloud And MongoDB Atlas

What does modernization mean? As an IT leader or architect, you may notice that your software architecture is encountering performance issues. You may be considering moving your datastore from a…

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15 min

Engineering

Why You Should Be Using Flex Templates For Your Dataflow Deployments

Last year Google announced general availability of Dataflow Flex templates. We covered many details of this new way to deploy Dataflow pipelines in this blog. Here we offer additional tips…

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Engineering

Streaming Data Into BigQuery Using Storage Write API

Introducing A Google Cloud Architecture Diagramming Tool

Speed Up Your Teradata Migration With The BigQuery Permission Mapper Tool

Orchestrating PyTorch ML Workflows On Vertex AI Pipelines

Free Your Mainframe Data With Data-First Digitization

Data Modernization With Google Cloud And MongoDB Atlas

Why You Should Be Using Flex Templates For Your Dataflow Deployments

IBM Study: One in Four Malicious Breaches are AI-Enabled, Costing Companies $6 Million on Average

Accelerating the frontiers of scientific discovery: Google’s $40M commitment to the Genesis Mission

3 Questions: Neural transparency and the future of AI design

Intel Invests €5 Billion to Expand Manufacturing in Europe

IBM and Red Hat Expand Lightwell with New Offerings to Build the Trust Infrastructure for AI-Era Open Source

When I Was Young

The Fastest AI Fried Chicken In The World

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Father’s Day Outdoors, Round Two – Gear for the Action, the Tailgate, and Beating the Heat

The Ultimate Father’s Day Gift Guide – Home Entertainment Upgrades Dad Actually Wants