Tag: Data and analytics
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Apache Kafka in the public sector – Smart city
Posted on October 14, 2021, Level beginner Resource Length medium
The public sector includes many different areas. Some groups leverage cutting-edge technology, like military leverage. Others like the public administration are years or even decades behind. This blog series explores both edges to show how data in motion powered by Apache Kafka adds value for innovative new applications and modernizing legacy IT infrastructures. By Kai Waehner.
Tags business-and-emerging-tech data-and-analytics devops-and-ci-cd how-to
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Everything I learned in my 1st year as a SWE: GraphQL
Posted on October 12, 2021, Level beginner Resource Length medium
A beginner's crash course in GraphQL & REST APIs. In this series, I'll be sharing all the tools and technologies that I've picked up in my first year in the hopes of helping other entry-level engineers on their journey. By Camila Ramos.
Tags devops-and-ci-cd cloud-and-infrastructure data-and-analytics
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Postgres full-text search: Search engine in a database
Posted on October 9, 2021, Level intermediate Resource Length medium
So when we say PostgreSQL is the "batteries included database," this is just one reason why. With Postgres, you don't need to immediately look farther than your own database management system for a full-text search solution. If you haven't yet given Postgres' built-in full-text search a try, read on for a simple intro. By Kat Batuigas.
Tags data-and-analytics business-and-emerging-tech architecture-and-apis cloud-and-infrastructure backend-development
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How we shipped PostgreSQL 14 on Azure within one day of its release
Posted on October 4, 2021, Level intermediate Resource Length medium
In this blog post, you'll first get a glimpse into some of our favorite features in Postgres 14. These include connection scaling, faster VACUUM, and improvements to crash recovery times. By Ozgun Erdogan.
Tags devops-and-ci-cd how-to leadership-and-career cloud-and-infrastructure data-and-analytics
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How to handle data duplication in data-heavy Kubernetes environments
Posted on October 2, 2021, Level intermediate Resource Length long
It's convenient to create a copy of your application with a copy of its state for each team. For example, you might want a separate database copy to test some significant schema changes or develop other disruptive operations like bulk insert/delete/update... By Augustinas Stirbis.
Tags data-and-analytics devops-and-ci-cd how-to leadership-and-career
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How to deploy a machine learning model with FastAPI, Docker and Github Actions
Posted on October 1, 2021, Level intermediate Resource Length long
You've just trained a model and you're happy with it because it performs well on your local cross-validation. Now is the time to put this model in production so that other teams within your organization can consume it and embed it in their applications. By Ahmed Besbes.
Tags ai-and-machine-learning leadership-and-career data-and-analytics devops-and-ci-cd
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Building your own Data Science infrastructure for Deep Learning
Posted on September 26, 2021, Level beginner Resource Length long
Build your own machine and install KNIME, Jupyter-Notebook and Tableau to be fully equipped for all data science and deep learning tasks. By Dennis Ganzaroli, Data Scientist and Head of Report & Data-Management in a big Telco in Switzerland.
Tags data-and-analytics leadership-and-career miscellaneous how-to
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Understanding enterprise messaging APIs and protocols
Posted on September 25, 2021, Level beginner Resource Length medium
In this article we'll explore the world of messaging APIs and protocols. We'll identify why developers depend on them and focus on the capabilities of some of the most commonly used messaging APIs and protocols. By Callum Jackson, Richard J. Coppen.
Tags architecture-and-apis cloud-and-infrastructure devops-and-ci-cd data-and-analytics
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How to deploy a pre-trained question and answer TensorFlow.js Model on App platform
Posted on September 21, 2021, Level beginner Resource Length long
TensorFlow.js, TensorFlow's JavaScript counterpart library for training, executing, and deploying machine learning models in the browser. In an attempt to make TensorFlow.js accessible to developers with limited or no ML experience, the library comes with several pre-trained models that work out of the box. By Juan De Dios Santos Rivera.
Tags ai-and-machine-learning data-and-analytics leadership-and-career miscellaneous
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What you should know about Predictive analytics?
Posted on September 11, 2021, Level beginner Resource Length medium
Predictive analytics is a sub-area of business analytics and is particularly concerned with recognizing patterns and predicting future events. It is used in a wide variety of scientific disciplines and areas in companies. By Henny Jones.
Tags data-and-analytics leadership-and-career miscellaneous
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The digital path to growth – sensors and handling data
Posted on September 6, 2021, Level beginner Resource Length medium
There are discussions being held today around hot commodity, "data". Data has also been evolving at an unprecedented pace and affecting our lives directly with its mammoth influence on industries as varied as healthcare, education, banking and finance. By Australian Manufacturing Forum @aumanufacturing.
Tags leadership-and-career business-and-emerging-tech data-and-analytics
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Redis at the Edge with Cloudflare Workers
Posted on September 1, 2021, Level intermediate Resource Length medium
Computing at the Edge is one of the most exciting capabilities in recent years. CDN allows you to keep your files closer to your users. Edge computing allows you to run your applications closer to your users. This helps developers to build globally distributed, performant applications. By Enes Akar.
Tags product-and-design cloud-and-infrastructure architecture-and-apis data-and-analytics software-engineering