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Data Applications Guide

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

Is PySpark SQL Still Relevant?

Explore PySpark SQL for data extraction and analysis, and discover how Snowpark challenges its relevance and boosts efficiency for data engineers and developers

What is Kafka?

Learn about Kafka, a streaming platform developed by the Apache Software Foundation and written in Scala and Java.

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.

Embedded Analytics

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

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.

What is Apache Spark?

Apache Spark was designed to function as a simple API for distributed data processing, reducing complex tasks from thousands of lines of code to just dozens.

Data Streams

Data streaming is a rapid, continuous data transfer, while data stream analysis offers insight into a wide range of customer and business activities via streams.

Internet of Things (IOT)

IoT is a network that collects and shares data from physical objects about usage and performance through sensors, software, and communication hardware.

What Are Native Apps?

Native apps are applications that run natively within an organization’s data platform. Learn here what are native apps and how they differ from connected apps.