Data Applications Guide

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

Spark Examples

What use cases are a good fit for the Spark framework? Here are a few scenarios where using Spark makes sense:

Platform as a Service (PaaS)

What is Platform as a service (PaaS)? It is a cloud computing model where third-party providers provide a software and/or hardware platform to users in the cloud.

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.

Embedded Analytics

Embedded analytics integrates data insights within the context of business applications, providing visualizations directly into workflows.

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.

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.

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?

Learn about Parquet, an open source file format designed to handle complex data in large volumes, and how it differs from CSV.

Conquering DevOps for Data

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