article thumbnail

Batch Processing vs. Stream Processing: Why Batch Is Dying and Streaming Takes Over

DZone

With this data comes the challenge of processing it in a timely and efficient way. Companies worldwide are investing in technologies that can help them better process, analyze, and use the data they are collecting to better serve their customers and stay ahead of their competitors. Let’s recap some of the basics first.

article thumbnail

Cutting Big Data Costs: Effective Data Processing With Apache Spark

DZone

In today's data-driven world, efficient data processing plays a pivotal role in the success of any project. Apache Spark , a robust open-source data processing framework, has emerged as a game-changer in this domain. Optimizing Data Input Make Use of Data Forma t In most cases, the data being processed is stored in a columnar format.

Big Data 279
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Batch Request Processing With API Gateway

DZone

Batch request processing is a powerful technique used in web development to improve the performance of APIs. In this article, we'll explore how to implement batch request processing in Apache APISIX and look at some use cases where it can be beneficial.

article thumbnail

Choosing the Right Stream Processing System: A Comprehensive Guide

DZone

Introductory note : This article has been co-authored by Federico Trotta and Karin Wolok. Introduction In a previous article , we presented the fundamentals of stream processing.

article thumbnail

Data Mesh?—?A Data Movement and Processing Platform @ Netflix

The Netflix TechBlog

A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users.

article thumbnail

Medallion Architecture: Efficient Batch and Stream Processing Data Pipelines With Azure Databricks and Delta Lake

DZone

In today's data-driven world, organizations need efficient and scalable data pipelines to process and analyze large volumes of data. Medallion Architecture provides a framework for organizing data processing workflows into different zones, enabling optimized batch and stream processing.

Azure 246
article thumbnail

Your Guide to Automated Testing [Article and Tutorials]

DZone

It's time to automate you testing process! What Is Automated Testing? DZone Refcard: Automated Testing: Improving Application Speed and Quality — Learn more about mobile testing in Kotlin, go beyond what Selenium provides for web application testing, and take a deep dive into trends such as Behavioral-Driven Development and Visual Regression.

Testing 335