| 01. Course Overview.mp4 | 3.3 MB | ||
| 02. Introduction and Course Outline.mp4 | 3.9 MB | ||
| 03. What Is Data Lakehouse .mp4 | 10.6 MB | ||
| 04. Azure Synapse Analytics-The Bigger Picture.mp4 | 16.1 MB | ||
| 05. Setting up Synapse Workspace.mp4 | 12.3 MB | ||
| 06. Scenario Walkthrough.mp4 | 4.4 MB | ||
| 07. Summary.mp4 | 2.1 MB | ||
| 08. Module Overview.mp4 | 1.2 MB | ||
| 09. Understanding Architecture and Components of Dedicated SQL Pool.mp4 | 14.9 MB | ||
| 1 - Exploration Notebook.ipynb | 4.2 KB | ||
| 1 - RateCodes SQL script.txt | 307.2 B | ||
| 1 - Serverless Query - FHVTaxis Parquet.sql | 1.1 KB | ||
| 1 - Taxi Zones - External Table.sql | 1.7 KB | ||
| 1- Query CosmosDB.ipynb | 6.2 KB | ||
| 10. Provisioning Dedicated SQL Pool.mp4 | 6.2 MB | ||
| 11. Working with Polybase.mp4 | 5.6 MB | ||
| 12. Polybase Demo.mp4 | 17.9 MB | ||
| 13. Loading Data Using COPY Statement.mp4 | 7.5 MB | ||
| 14. Implementing Table Distributions.mp4 | 9.9 MB | ||
| 15. Table Distributions and Data Shuffling.mp4 | 12.1 MB | ||
| 16. Summary and Further Study.mp4 | 3.9 MB | ||
| 17. Module Overview.mp4 | 1.3 MB | ||
| 18. Understanding Managed Spark Environment.mp4 | 11 MB | ||
| 19. Configuring Spark Pool.mp4 | 6 MB | ||
| 2 - LoadTaxiZones Stored Procedure.sql | 2.5 KB | ||
| 2 - Process FHV Data - Development.ipynb | 2 MB | ||
| 2 - Yellow Taxis - External Table.sql | 1.5 KB | ||
| 2- Serverless Query - TaxiZones CSV.sql | 716.8 B | ||
| 2- Serverless SQL - Query CosmosDB.sql | 512 B | ||
| 20. Working with Notebook.mp4 | 10.3 MB | ||
| 21. Extracting Transforming Data in Data Lake.mp4 | 19.5 MB | ||
| 22. Loading Data in Spark Tables.mp4 | 8.6 MB | ||
| 23. Querying Dedicated SQL Pool from Spark Pool.mp4 | 8.9 MB | ||
| 24. Summary and Further Study.mp4 | 4 MB | ||
| 25. Module Overview.mp4 | 1.3 MB | ||
| 26. Understanding Components of Synapse Pipelines.mp4 | 6.4 MB | ||
| 27. Ingesting Data Using COPY Activity.mp4 | 11.6 MB | ||
| 28. Transforming Data Using Mapping Data Flows.mp4 | 15.9 MB | ||
| 29. Orchestrating and Running Pipelines.mp4 | 16.2 MB | ||
| 3 - Read from Dedicated SQL Pool.ipynb | 750.7 KB | ||
| 3 - Serverless Query - Create External Table.sql | 819.2 B | ||
| 3 - Write to Data Lake.sql | 819.2 B | ||
| 3- LoadYellowTaxis Stored Procedure.sql | 3.3 KB | ||
| 3- Write to CosmosDB.ipynb | 1 KB | ||
| 30. Summary and Further Study.mp4 | 2.8 MB | ||
| 31. Module Overview.mp4 | 956.2 KB | ||
| 32. Understanding Serverless SQL Pool.mp4 | 6.6 MB | ||
| 33. Working with Data Lake Using SQL Queries.mp4 | 17.5 MB | ||
| 34. Querying Spark Tables Using SQL Queries.mp4 | 7.2 MB | ||
| 35. Controlling Serverless SQL Pool Cost.mp4 | 1.9 MB | ||
| 36. Summary.mp4 | 2.1 MB | ||
| 37. Module Overview.mp4 | 1.2 MB | ||
| 38. Understanding Synapse Link for Azure Cosmos DB.mp4 | 7 MB | ||
| 39. Configuring Querying Synapse Link for Azure Cosmos DB.mp4 | 12.6 MB | ||
| 4 - Copy TaxiZones.sql | 819.2 B | ||
| 4 - Process Dim FHVBases.ipynb | 3.5 KB | ||
| 4 - TaxisDataMart - Views.sql | 1.9 KB | ||
| 40. Building Power BI Report in Synapse Workspace.mp4 | 10.3 MB | ||
| 41. Course Summary.mp4 | 4.5 MB | ||
| 5 - Process Fact FHVTaxis.ipynb | 8.7 KB | ||
| 5 - Table Distributions.sql | 512 B | ||
| 5- TaxisDataMart Views on Spark DB.sql | 921.6 B | ||
| 6 - Compare Distribution Performance.sql | 614.4 B | ||
| Bonus Resources.txt | 307.2 B | ||
| Demo Readme.txt | 512 B | ||
| FhvBases.json | 453.9 KB | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| GreenTaxis_201911.csv | 39.2 MB | ||
| Readme - File for FHVTaxis.txt | 204.8 B | ||
| RideFeedback.json | 1.1 KB | ||
| Setup Document - Building Your First Data Lakehouse Using Azure Synapse Analytics.pdf | 1.1 MB | ||
| TaxiZones1.csv | 204.8 B | ||
| TaxiZones2.csv | 12 KB | ||
| YellowTaxis_201911.parquet | 210.2 MB | ||
| connecting-services-with-azure-synapse-analytics-slides.pdf | 1 MB | ||
| getting-started-with-data-lakehouse-and-azure-synapse-analytics-slides.pdf | 1.9 MB | ||
| ingesting-transforming-and-orchestrating-with-synapse-pipelines-slides.pdf | 909.7 KB | ||
| querying-data-using-serverless-sql-pool-slides.pdf | 1.2 MB | ||
| transforming-data-with-synapse-spark-pool-slides.pdf | 1.3 MB | ||
| working-with-dedicated-sql-pool-slides.pdf | 1.7 MB | ||
| ▲ 85 total files | |||
Building Your First Data Lakehouse Using Azure Synapse Analytics
Duration: 2h 58m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 589 MB
Level: Beginner | Genre: eLearning | Language: English
In this course, you will learn about Azure Synapse Analytics & its integrated services - Workspace, Dedicated SQL, Apache Spark, Serverless SQL, Pipelines, Synapse Link to Cosmos DB, Power BI - and how it can be used to build a Data Lakehouse.
Data Lakehouse is an architecture that intends to bring the best of Data Warehouses and Data Lakes together. It helps to put together a common platform to handle huge volumes of data, process data faster, and serve multiple use cases. In this course, Building Your First Data Lakehouse Using Azure Synapse Analytics, you'll learn to use Azure Synapse Analytics. It is a totally new product that brings together data integration, enterprise data warehousing, and big data analytics together. It is a set of multiple, well-integrated, Azure Data Services - Workspace, Dedicated SQL Pool, Apache Spark Pool, Serverless SQL, Synapse Pipelines, Synapse Link to Cosmos DB, integrated Power BI workspace, and much more. First, you'll learn how to set up the Synapse workspace by bringing in multiple data sources. Next, you'll discover how to explore the data and how to work with Dedicated SQL Pool, and Apache Spark Pool to extract and transform the data. Finally, you'll explore how to ingest, transform, and orchestrate data using Synapse Pipelines, use a Serverless SQL Pool to build a logical data model, and use connected services to Synapse. By the end of this course, you'll have knowledge and skills to use Synapse Link for Cosmos DB, and the integrated Power BI experience to help to build an end-to-end Data Lakehouse.
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