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Azure Data Factory
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Fully managed ETL service, data movement, and transformation supports on-premises and cloud sources, scheduling, and orchestration
ADF can connect on-premises data sources with cloud-based destinations, making it suitable for hybrid environments.
Data Transformation: With built-in data flow and support for custom transformations via Azure Data Bricks or Azure HDInsight, ADF is used for transforming raw data into usable formats.
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Data integration, ETL processes, data migration.
When Organizations need a powerful ETL/ELT tool for data integration across various environments.
Organizations with diverse data sources that require automated and scheduled data processing.
Also, in scenarios where low-code/no-code development is preferred for creating data pipelines.
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When you need to automate data movement and transformation across diverse data sources. |
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Azure Synapse Analytics
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Integrated analytics service, combines big data and data warehousing, supports SQL, Spark, and data integration, end-to-end analytics.
Azure Synapse is designed for building modern data warehouses, allowing the integration of big data and data warehousing within the same service.
Synapse integrates with streaming data sources for real-time data processing and analytics.
It also Supports integration with Azure Machine Learning, Power BI, and other advanced analytics tools for deep data insights.
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Big data analytics, data warehousing, real-time analytics.
Businesses need a unified analytics platform combining big data and data warehousing capabilities.
Scenarios where data exploration, ad-hoc queries, and reporting are essential.
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When you need a comprehensive analytics service that combines data warehousing and big data analytics |
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Microsoft Fabric
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A unified analytics platform that integrates data integration, engineering, warehousing, science, and business intelligence and supports various data sources.
It Facilitates collaboration between data engineers, data scientists, and business analysts on a single platform.
Simplifies the data lifecycle by providing a unified experience across different data tools and processes.
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Comprehensive data analytics, business intelligence, and data-driven decision-making.
Organizations need a cohesive platform for managing the entire data lifecycle, from ingestion to analytics and reporting.
Businesses aim to break down silos between data teams and encourage cross-functional collaboration.
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When you need an all-in-one analytics solution that covers the entire data lifecycle from ingestion to business intelligence
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