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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

Table of Contents What is a Data Pipeline? The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives. What is a Big Data Pipeline?

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What is ETL Pipeline? Process, Considerations, and Examples

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Table of Contents What is ETL Pipeline? Historically, data extraction meant retrieving information from files like Excel, CSV, Text, etc. Storing data in raw format is still prevalent, as they were the primary sources of customer information. Basic Cleaning: Converting data into a suitable format as per our requirement.

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Top 100 Hadoop Interview Questions and Answers 2023

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Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. Speed Writes are Fast Reads are Fast Master Big Data with Real-World Hadoop Projects 2. What are the most commonly defined input formats in Hadoop? Processes structured data.

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