Real-time analytic systems use data processing frameworks, including Apache Kafka and Apache Spark. Learn more here!

In this article, we’ll look at how to analyze and process unstructured data while using business intelligence tools to simplify the entire process.

This is a framework for using machine learning in your business.

This article examines the process and methods of data wrangling: preparing data for further analysis by transforming, cleaning, and organizing it.

Many businesses assume that feeding large volumes of data into an ML engine is enough to generate accurate predictions.

Streamline your data pipeline by enabling non-engineers to define validation logic, review data, and fix issues.

In this article, I explore the benefits, types, and processes of data transformation and how it contributes to data management, integration, and new technologie

Why EtLT is gradually replacing ETL and ELT as the global mainstream data processing architecture?

Unlock the Power of Real-Time Data with Kafka: A Deep Dive into the Fast and Scalable System Design Championed by Kafka. Learn More!

Explore the concept of Inversion of Control (IoC) in software engineering, understanding its benefits, and various implementations.

Incremental design results in a working system at the end of implementation. On the other hand, iterative design produces a functioning system

Optimize workflow efficiency by scheduling Python functions to run sequentially at the nearest 15-minute intervals.

Apache Kafka simplifies data discovery and dynamic data integration by providing a unified platform for event streaming and data integration.

Data processing outsourcing boosts efficiency, reduces costs, and enhances decision-making, helping businesses manage and leverage vast data effectively.

The article discusses cost optimization with clean data, explaining how businesses can save resources by reducing the workload for data analysts and more.

Discover how GPU acceleration is reshaping data processing, offering unparalleled speed and efficiency for AI and big data analytics.

It is designed for enterprise-level scenarios and provides a visual solution for task operation, workflow management, and the full lifecycle of data processing.

Discover Apache Iceberg with a free guide, crash course, and video playlist. Learn efficient data management and processing for big data environments.

As a leading lifestyle service platform in China, 58 Group has been continuously exploring and innovating in the construction of its data integration platform.

Kirill Sergeev leverages AI & hybrid data architectures to revolutionize healthcare data processing, enabling faster & scaleble solutions for patient care.