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dee-pee-pee-tw0-ohhh-thr33 > 01 - Explore compute and storage options for data engineering workloads > Flashcards

01 - Explore compute and storage options for data engineering workloads Flashcards

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dee-pee-pee-tw0-ohhh-thr33 (21 decks)

Instructor's Method - 6/14/2021

02 - Design and Implement the serving layer

03 - Data engineering considerations for source files

04 - Run interactive queries using serverless SQL pools

05 - Explore, transform, and load data into the Data Warehouse using Apache Spark

06 - Data Exploration and Transformation in Azure Databricks

07 - Ingest and load Data into the Data Warehouse

08 - Transform Data with Azure Data Factory or Azure Synapse Pipelines

09 - Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines

10 - Optimize Query Performance with Dedicated SQL Pools in Azure Synapse

11 - Analyze and Optimize Data Warehouse Storage

12 - Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link

13 - End-to-end security with Azure Synapse Analytics

14 - Real-time Stream Processing with Stream Analytics

15 - Create a Stream Processing Solution with Event Hubs and Azure Databricks

16 -Bruild reports using Power BI integration with Azure Synapse Analytics

17 - Perform Integrated Machine Learning Processes in Azure Synapse Analytics

01 - Explore compute and storage options for data engineering workloads

Instructor's Method - 6/15/2021

Instructor's Method - 6/16/2021

Instructor's Method - 6/17/2021

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