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Data Engineering Guide
Articles about important cloud data engineering topics, including ETL, data integration, and JSON.
What is Spark Streaming?
Spark Streaming and Spark Structured Streaming are designed for real-time data processing. In this article, we look at their capabilities and limitations.
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Building streaming data pipelines
Explore real-time insights with streaming data pipelines, from cybersecurity to ecommerce. Learn how they transform industries in our guide.
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Optimizing Streaming data ingestion for better streaming analytics
Streaming data must be processed and made available as it is created. Learn how a streaming data platform's capabilities support near real-time data ingestion.
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ETL vs ELT
ELT vs. ETL: ELT provides increased flexibility, better accessibility, scalability, faster loading and transformation times, and reduced data maintenance time.
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Stream processing: What it is and why to use it
Discover the improtance of stream processing in modern businesses and learn why organizations are implementing continuous data pipelines for real-time analysis.
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Advanced Analytics Makes Organizations Smarter
Advanced analytics describes a basket of modern data analysis tools and practices to uncover useful patterns and relationships to reveal key business insights.
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Industrial Automation to Improve Operational Performance
Industrial automation can significantly improve operation productivity, and performance by using control systems to operate machinery, navigation, and networks.
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Semi-Structured Data 101
Semi-structured data comes in a variety of formats, based on the source they originate from. Common semi-structured examples include XML, JSON, Avro, and ORC.
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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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