This document provides an overview of loading data into Azure SQL DW (Synapse Analytics). It discusses extracting source data into text files, landing the data into Azure Data Lake Store Gen2, preparing the data for loading into staging tables using PolyBase or COPY commands, transforming the data, and inserting it into production tables. It also compares ETL vs ELT approaches and SSIS vs Azure Data Factory for data integration. The presenter then demonstrates loading data in Synapse SQL pool and invites any questions.

2. Loading Data into Azure SQL DW
(Synapse Analytics)
Global Azure Greece 2020
Apr 25, 2020
Presenter: Antonios Chatzipavlis

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5. Antonios Chatzipavlis
Data Solutions Consultant & Trainer
Since 1999
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60+
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9. Azure Synapse Analytics
Limitless analytics service with unmatched time to insight
Platform
Azure
Data Lake Storage
Common Data Model
Enterprise Security
Optimized for Analytics
METASTORE
SECURITY
MANAGEMENT
MONITORING
DATA INTEGRATION
Analytics Runtimes
PROVISIONED ON-DEMAND
Form Factors
SQL
Languages
Python .NET Java Scala R
Experience Synapse Analytics Studio
Artificial Intelligence / Machine Learning / Internet of Things
Intelligent Apps / Business Intelligence
METASTORE
SECURITY
MANAGEMENT
MONITORING

10. Synapse SQL pool

11. • Extract the source data into text files.
• Land the data into Azure Data Lake Store Gen2.
• Prepare the data for loading.
• Load the data into staging tables with PolyBase or the COPY command.
• Transform the data.
• Insert the data into production tables.
Data loading strategy for Synapse SQL pool
The fastest and most scalable way to load data

12. ETL vs. ELT
ETL ELT

13. SSIS vs. ADF
SSIS ADF

14. Demonstration
Loading data in Synapse SQL pool

15. Any
questions

16. Thank you!
@antoniosch - @sqlschool
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Antonios Chatzipavlis
Data Solutions Consultant & Trainer

17. A community for Greek professionals who use the Microsoft Data Platform
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