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Data Applications Guide
Learn about the latest data application development trends, technology, and best practices.
Cloud-native applications: Building scalable applications for modern business
This article explains how cloud-native applications work, the advantages they offer and the essential principles guiding their development and deployment.
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Developing Data-Intensive Applications
Learn about different kinds of data applications, their capabilities and the core components required to successfully build, deploy and maintain these apps.
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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.
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Challenges and Solutions for Developing AI Apps
Developing AI applications requires a well-structured process. Learn about the development process, challenges you might face and solutions to overcoming them.
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What is Parquet?
Parquet is an open-source file format for columnar storage of large and complex datasets, known for its high-performance data compression and encoding support.
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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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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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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
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What is Kafka?
Learn about Kafka, a streaming platform developed by the Apache Software Foundation and written in Scala and Java.
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