article thumbnail

Modern Data Engineering with MAGE: Empowering Efficient Data Processing

Analytics Vidhya

Introduction In today’s data-driven world, organizations across industries are dealing with massive volumes of data, complex pipelines, and the need for efficient data processing.

article thumbnail

Mastering Batch Data Processing with Versatile Data Kit (VDK)

Towards Data Science

Data Management A tutorial on how to use VDK to perform batch data processing Photo by Mika Baumeister on Unsplash Versatile Data Ki t (VDK) is an open-source data ingestion and processing framework designed to simplify data management complexities. The following figure shows a snapshot of VDK UI.

Insiders

Sign Up for our Newsletter

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

article thumbnail

2. Diving Deeper into Psyberg: Stateless vs Stateful Data Processing

Netflix Tech

Understanding the nature of the late-arriving data and processing requirements will help decide which pattern is most appropriate for a use case. Stateful Data Processing : This pattern is useful when the output depends on a sequence of events across one or more input streams.

article thumbnail

Mastering Batch Data Processing with Versatile Data Kit (VDK)

Medium Data Engineering

A tutorial on how to use VDK to perform batch data processing Continue reading on Towards Data Science »

article thumbnail

Last Mile Data Processing with Ray

Pinterest Engineering

Since it takes so long to iterate on workflows, some ML engineers started to perform data processing directly inside training jobs. This is what we commonly refer to as Last Mile Data Processing. Last Mile processing can boost ML engineers’ velocity as they can write code in Python, directly using PyTorch.

article thumbnail

Spark: Caching and Persistence for Efficient Data Processing

Medium Data Engineering

Apache Spark, a powerful open-source distributed computing system, has become a cornerstone in the big data processing landscape. Its… Continue reading on Medium »

article thumbnail

Cloud authentication and data processing jobs

Waitingforcode

Setting a data processing layer up has several phases. You need to write the job, define the infrastructure, CI/CD pipeline, integrate with the data orchestration layer, and finally, ensure the job can access the relevant datasets. Let's see!