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Building a Data Pipeline with Azure Data Factory: Step-by-Step Guide

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  In today’s data-driven world, organizations need robust solutions to collect, transform, and deliver data from various sources to target systems. Microsoft’s Azure Data Factory (ADF) stands out as a fully managed, cloud-based data integration service designed for creating scalable and reliable data pipelines. This step-by-step guide will walk you through the essentials of building a data pipeline using Azure Data Factory, helping you lay a solid foundation in real-world data engineering practices. At AccentFuture , we empower learners through hands-on training in cloud data integration tools like ADF, ensuring they’re job-ready for the modern data landscape. What is Azure Data Factory? Azure Data Factory is a serverless data integration platform that allows you to create, schedule, and orchestrate data pipelines at scale. It enables seamless movement of data between on-premises and cloud sources and supports complex transformations through data flows or integration with service...
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Handling Schema Evolution in AWS Glue Data Catalog

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  In the modern data ecosystem, data structures evolve rapidly. Whether you're ingesting logs, streaming events, or processing transactional data, schema changes are inevitable. AWS Glue, a fully managed ETL service, offers robust support for schema evolution through its Data Catalog —a central metadata repository. At AccentFuture , where we empower learners with real-world data engineering skills, understanding how to handle schema evolution in AWS Glue is crucial for building resilient and scalable data pipelines. In this blog, we’ll explore what schema evolution is, how AWS Glue handles it, and the best practices to manage these changes effectively. What is Schema Evolution? Schema evolution refers to the ability of a system to accommodate changes in data structure over time without breaking the downstream data pipelines. Common schema changes include: Adding new columns Removing or renaming existing columns Changing data types Reordering columns Without proper handling, these ...
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