Data Engineering in Azure

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Across
  1. 1. Microsoft's integration tool used for solving complex business problems by copying or downloading files, extracting and transforming data from different data sources, and loading data into data warehouses.
  2. 3. A sequence of data processing activities in a data integration workflow.
  3. 6. A distributed computing environment within Azure Synapse for big data processing.
  4. 8. A Python library for Apache Spark and big data processing.
  5. 10. An Azure certification exam focusing on designing and implementing data solutions using Microsoft's cloud-based services.
  6. 11. Represents the transformation of data from a source to a destination.
  7. 14. A type of load balancing or scheduling algorithm, where each task or request is assigned to a resource in a circular order.
Down
  1. 1. Structured Query Language, used for managing and querying relational databases
  2. 2. Azure's integrated analytics service that brings together big data and data warehousing.
  3. 4. Azure's globally distributed, multi-model database service offering scalability and geo-redundancy.
  4. 5. A function converting an input (or 'message') into a fixed-size string of bytes, often used in data structures and algorithms for quick data retrieval.
  5. 7. Azure's data catalog and discovery service.
  6. 9. A structured collection of data with rows and columns.
  7. 12. Microsoft's cloud-based ETL and data integration service.
  8. 13. Defines the connection information needed for ADF to connect to external data.