Data Engineering Resources

Building Event-Streaming Applications in .NET

in this post, we introduce how to use .NET Kafka clients along with the Task Parallel Library to build a robust, high-throughput event streaming application.

May 2, 2023

by Bill Bejeck

· 2,045 Views · 2 Likes

Mastering the Art of Building Complex Machine Learning Models: A Comprehensive Guide

This comprehensive guide will delve deeper into practical lessons to help you navigate the challenges of creating advanced ML models.

May 2, 2023

by Yifei Wang

CORE

· 4,652 Views · 4 Likes

4 Ways to Improve Developer Experience With AI

Improve developer experience with AI-powered tools for efficient code delivery, documentation generation, and collaboration.

May 2, 2023

by Ruth Dillon-Mansfield

· 2,931 Views · 1 Like

Optimizing ETL Workflows: Trends, Challenges, and Best Practices for DataOps Success

Master the future of data: Unleash the power of effective ETL workflow with DataOps insights, best practices, and game-changing strategies.

May 2, 2023

by Chisom Ndukwu

· 4,312 Views · 1 Like

Implementing NATS JetStream as Queues in Golang

Dive into implementing NATS JetStream as queues in Golang with this guide. Learn essential concepts and techniques for building scalable distributed systems.

May 2, 2023

by Vlad Gukasov

· 12,542 Views · 2 Likes

VPC sharing with multiple accounts is a simple way to design multi-account networking and avoid a complex hub-and-spoke model.

May 1, 2023

by Rahul Nagpure

· 5,964 Views · 1 Like

Front-End: Cache Strategies You Should Know

Caches are one of the keys to improving the performance of our web platform. Learn about cache and specific use cases focusing on the front end and client side.

May 1, 2023

by Miguel Garcia

CORE

· 26,354 Views · 10 Likes

Revolutionizing Drug Discovery with Generative AI

Generative AI techniques, including GANs, VAEs, and reinforcement learning, can accelerate drug discovery by exploring chemical spaces and optimizing drug candidates.

May 1, 2023

by Suresh Rajasekaran

· 2,881 Views · 2 Likes

Leveraging IoT for Water Resource Management

Water resource management is the need of the hour, and conventional methods are not going to be enough. Hence IoT and analytics have to be incorporated into the system.

May 1, 2023

by Kamal R

· 3,418 Views · 1 Like

Prometheus AWS Exporter and Grafana

The main purpose of this article and use case is to scrape AWS cloud watch metrics into the Prometheus time series and to visualize the metrics data in Grafana.

May 1, 2023

by Shiva Jayam

· 7,207 Views · 5 Likes

In this blog, you saw an example of how to use Lambda to process messages sent to SNS and store them in DynamoDB, thanks to the SNS and Lamdba integration.

May 1, 2023

by Abhishek Gupta

CORE

· 16,523 Views · 3 Likes

Orange Pi Cluster With Docker Swarm and MariaDB

In this article, I’ll show you how to build a (surprisingly cheap) 4-node cluster packed with 16 cores and 4GB RAM to deploy a MariaDB replicated topology.

May 1, 2023

by Alejandro Duarte

CORE

· 27,173 Views · 7 Likes

Cypress Best Practices for API Test Automation

Learn how to automate APIs using Cypress, how to automate APIs using an API plugin and learn API automation best practices.

May 1, 2023

by Kailash Pathak

CORE

· 3,944 Views · 2 Likes

Dynamic Data Processing Using Serverless Java With Quarkus on AWS Lambda (Part 1)

This step-by-step tutorial explores how Quarkus enables Java developers to implement serverless functions on AWS Lambda to process dynamic data on AWS DynamoDB.

May 1, 2023

by Daniel Oh

CORE

· 9,220 Views · 5 Likes

How to Optimize CPU Performance Through Isolation and System Tuning

Learn more about the challenges of tuning your CPU and system for optimal performance with Linux and how Chronicle Tune could do the work automatically for you.

May 1, 2023

by Peter Lawrey

· 3,971 Views · 2 Likes

What Are Events? API Calls

We should start calling apples: apples. API calls always represent an ‘Event,’ so such invocations are best described as Events.

May 1, 2023

by Cameron HUNT

· 4,191 Views · 2 Likes

What Is Deep Data Observability?

Deep data observability is truly comprehensive in terms of data sources, data formats, data granularity, validator configuration, cadence, and user focus.

May 1, 2023

by Patrik Liu Tran

· 4,011 Views · 3 Likes