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Data Applications Guide
Learn about the latest data application development trends, technology, and best practices.
What is Spark?
Apache Spark is a real-time data processing system with support for diverse data sources and programming styles.
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Platform as a Service (PaaS)
Platform as a service (PaaS) 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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SQL Development
SQL development tools and capabilities play a big role in data application development. However, developers should choose the tools in their toolbox wisely
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Event-Driven Architecture
Event-driven architecture (EDA) is a software design pattern for application development. It allows organizations to track and detect “events” and then instantly act on these events.
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Data Streams
Data streaming is the ongoing transfer of data at a high rate of speed. Most data streams are continuously collecting data from thousands of data sources.
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What is Parquet?
Parquet is an open source file format built to handle flat columnar storage data formats.
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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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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.
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Spark Examples
What use cases are a good fit for the Spark framework? Here are a few scenarios where using Spark makes sense:
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