Posts in category

Data


Editor’s note: Learn from Mohamed Nazeemudeen, Director of software engineering at Macy’s, about Macy’s strategy regarding choosing cloud databases and how Macy’s pricing services leverage Cloud Bigtable under the hood. You can also find Mohamed’s Google Cloud Next ‘21 session on this topic on YouTube. At Macy’’s we lead with our aim of fostering memorable …

Editor’s note: To kick off the new year, we invited partners from across our retail ecosystem to share stories, best practices, and tips and tricks on how they are helping retailers transform during a time that has seen tremendous change. The original version of this blog was published by Quantum Metric. Please enjoy this updated …

This article is part-II of the series on ‘PyTorch/XLA:Performance Debugging on TPU-VM’. In the previous article we introduced the basic metrics of performance analysis. We used the client side debugging with the PyTorch/XLA profiler to identify how the .equal() operator used inside the Multihead Attention module implementation caused frequent recompilation of the graph causing  the …

Bayer Crop Science uses Google Cloud to analyze billions of acres of land to better understand the characteristics of the soil that produces our food crops. Bayer’s teams of data scientists are leveraging services from across  Google Cloud to load, store, analyze, and visualize geospatial data to develop unique business insights. And because much of …

In this blog post, we’re going to show you how to use two technologies together: Google Cloud Vertex AI, an ML development platform, and Neo4j, a graph database. Together these technologies can be used to build and deploy graph-based machine learning models. The code underlying this blog post is available in a notebook here. Why …

In this blog, we’ll cover data governance as it relates to managing data in the cloud. We’ll discuss the operating model which is independent of technologies whether on-prem or cloud, processes to ensure governance, and finally the technologies that are available to ensure data governance in the cloud. This is a two part blog on …

[email protected] was an incredible celebration of the achievements that the Looker community made in the last year, and I was proud to be a part of it. Prominent leaders in the data world shared their successes, tips, and plans for the future. In the spirit of keeping the learning alive, I summarized the top two …

Today we’re announcing a public preview for the BigQuery native JSON data type, a capability which brings support for storing and analyzing semi-structured data in BigQuery. With this new JSON storage type and advanced JSON features like JSON dot notation support, adaptable data type changes, and new JSON functions, semi-structured data in BigQuery is now …

Editor’s note: Today’s post is by Markus Hap, CTO for APAC, and Joost van Doorn, Deputy CTO for APAC and Head of Technology Office, both for ABN AMRO, the Dutch financial services company. ABN AMRO’s Asia-Pacific region team, based in Singapore, is using Chrome OS and CloudReady to work securely in the cloud, reduce total …

In this tutorial, you’ll be introduced to 6 handy Python data visualization libraries, and learn how to choose among them. Data visualization is a great way to analyze and present information; Python is one of the most popular data analysis languages. This results in many good Python libraries for data visualizations. There is no single best …