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	Course Title		CRN	Course Number	Cost	Open Seats	Class Time and Location	Description	Term	Subject	Instructor	Start Date	Start Time	End Date	End Time	Campus	Days	Instruction Method

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Continuing Education Courses

	Course Title		CRN	Course Number	Cost	Open Seats	Class Time and Location	Description	Term	Subject	Instructor	Start Date	Start Time	End Date	End Time	Campus	Days	Instruction Method
	Data Engineering on Microsoft Azure	Details	78207	PCO371	$2499.00	10	Campus: Online Dates: 6/24/2024 - 6/27/2024 Times: 09:00 AM - 05:00 PM Days: M, T, W, R Location: NHZ	Learn data engineering patterns and practices as they pertain to working with batch and real-time analytical solutions using Azure data platform technologies. Begin by understanding the core compute and storage technologies that are used to build an analytical solution. Explore how to design analytical serving layers and focus on data engineering considerations for working with source files. Learn how to interactively explore data stored in files in a data lake; the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks; and how to ingest using Azure Data Factory or Azure Synapse pipelines. Grasp the various ways you can transform the data using the same technologies that is used to ingest data. Spend time learning to monitor and analyze the performance of analytical system so you can optimize the performance of data loads, or queries that are issued against the systems. Understand the importance of implementing security to ensure that the data is protected at rest or in transit. Demonstrate how you can use the data in an analytical system to create dashboards or build prediâ€‹ctive models in Azure Synapse Analytics.	202470	PCO	Staff	06/24/2024	09:00	06/27/2024	17:00	Online	MTWR	Remote Online - Scheduled Time

	Required Physically On Site	Scheduled Start/End Time	Internet Computer Camera
Blended-Online w Some On-Site	Some	Yes	Yes
Lab Course On-Site	Yes	Yes	No
On-Site	Yes	Yes	No
Online	No	No	Yes
Remote Lecture w On-Site Lab	Some	Yes	Yes
Remote Online - Scheduled Time	No	Yes	Yes
Simulcast - Some On-Site	Some	Yes	Yes
Arranged	Arranged by Instructor