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Data Applications Guide
Learn about the latest data application development trends, technology, and best practices.
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.
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Embedded Analytics
Embedded analytics integrates data insights within the context of business applications, providing visualizations directly into workflows.
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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.
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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.
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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.
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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.
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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.
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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.
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Conquering DevOps for Data
DevOps has compelling benefits for software development, integrating once-siloed teams for faster innovation and improved product quality.
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