Data Applications Guide

Learn about the latest data application development trends, technology, and best practices.

Connected Apps: Separating Customer Data and Application Code

In this article, we’ll explore what connected applications are, the advantages they offer, and how vendors can experience their benefits.

Best Practices for Building Database Applications

In this article, we’ll explore best practices for building database applications and highlight the latest cloud-based technologies for modern database applications.

Event-Driven Architecture

Learn about event-driven architecture (EDA), a software design pattern for application development that allows organizations to track “events” and then act on them.

What is Apache Spark?

Learn more about Apache Spark, a real-time data processing system, and how Snowflake Snowpark addresses some of Spark's gaps.

Internet of Things (IOT)

In this guide page we look at what is Internet of Things, how it works, as well as the different types of IoT data and its business value.

PySpark SQL

PySpark is the Python API that supports Apache Spark. Apache Spark is a open-source, distributed framework that is built to handle Big Data analysis.

Conquering DevOps for Data

DevOps has compelling benefits for software development, integrating once-siloed teams for faster innovation and improved product quality.

Data Streams

Learn about data streams and data streaming, which is the process for ongoing transfer of data at a high speed.

What is Parquet?

Parquet is an open source file format designed to handle complex data in large volumes. Learn more about Parquet, its benefits and differences with CSV.