Titlebook: Beginning Azure Synapse Analytics; Transition from Data Bhadresh Shiyal Book 2021 Bhadresh Shiyal 2021 Modern Data Warehouse.Data Lakehouse

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https://doi.org/10.1007/978-1-349-03461-1visioned Synapse SQL; the third option is Synapse Spark, which is based on Apache Spark. We discussed Synapse SQL in detail in the previous chapter. Now, let us discuss Apache Spark, or Synapse Spark, in detail in this chapter.

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David Jasper (Fellow and Chaplain)a warehouse, or a data lakehouse. To meet these requirements, you will have to build data ingestion pipelines, which will bring data to your desired target location. In addition, once you have ingested the data, you will have to cleanse it, apply business transformations and validations, and aggrega

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Introduction to Azure Synapse Analytics,lational data, and so forth. We also covered basic and conceptual knowledge regarding traditional data warehouses, modern data warehouses, and data lakehouses. Based on that foundation, we are now ready to take our first step in our journey toward learning Azure Synapse Analytics, which is the main

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Architecture and Its Main Components,ny architectural components that are different or new compared to a data warehouse. As discussed in previous chapters, Azure Synapse Analytics is a comprehensive data analytics platform that includes many tools and technologies.

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Synapse SQL,e Azure Synapse Analytics architecture and its main components in detail. During that discussion, we also briefly examined Synapse SQL as one of the important architectural components. In this chapter, we are going to discuss Synapse SQL in much more detail.