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An educational side project

The Pragmatic Engineer

for the simulation engine Go on the backend PostgreSQL for the data layer React and TypeScript on the frontend Prometheus and Grafana for monitoring and observability And if you were wondering how all of this was built, Juraj documented his process in an incredible, 34-part blog series. You can read this here. Serving a web page.

Education 363
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Shutting Down My Job Board for Software Engineering Positions After 2.5 Years

The Pragmatic Engineer

Context My initial motivation with the job board was to add a kind of "helpful monetization" to both my blog, and The Pragmatic Engineer Newsletter. In the blog – and at the end of all free newsletter issues – jobs posted by customers of the job board were shown.

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Azure Databricks: A Comprehensive Guide

Analytics Vidhya

In this blog post, we will take a closer look at Azure Databricks, its key features, […] The post Azure Databricks: A Comprehensive Guide appeared first on Analytics Vidhya. Introduction Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform that is built on top of the Microsoft Azure cloud.

Big Data 310
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Explore the World of Data-Tech with DataHour

Analytics Vidhya

In this blog post, we […] The post Explore the World of Data-Tech with DataHour appeared first on Analytics Vidhya. Current professionals seeking to transition into the data-tech domain or data science professionals seeking to enhance their career growth and development can also benefit from these sessions.

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How to Implement a Data Pipeline Using Amazon Web Services?

Analytics Vidhya

In this blog, we will […] The post How to Implement a Data Pipeline Using Amazon Web Services? To make these processes efficient, data pipelines are necessary. Data engineers specialize in building and maintaining these data pipelines that underpin the analytics ecosystem. appeared first on Analytics Vidhya.

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LLM Inference Performance Engineering: Best Practices

databricks

In this blog post, the MosaicML engineering team shares best practices for how to capitalize on popular open source large language models (LLMs).

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DAIS 2024: Testing framework from the Dataflow model for Apache Spark Structured Streaming

Waitingforcode

With this blog I'm starting a follow-up series for my Data+AI Summit 2024 talk. I missed this family of blog posts a lot as the previous DAIS with me as speaker was 4 years ago!

Data 130