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AZ360 will be down for scheduled maintenance Saturday, May 31st through Tuesday, June 3rd in support of the AZ360 HRM cutover. During the cutover period, Supplier Registration, Requisitions, Purchase Orders, Invoice processing and payment will be temporarily unavailable.  For any inquiries of APP new supplier enrollment, APP navigation, and APP account management, contact SPO [email protected]. For specific inquiries of AZ360 downtime, please contact GAO at [email protected].

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  • DAMA-Phx Quarterly Seminar

DAMA-Phx Quarterly Seminar

Date: 
Thursday, June 27, 2019 - 8:30am
Location: 
ADOA-ASET
1600 N Priest Dr
Suite 400
Tempe, AZ 85281
United States
Registration: 
http://dama-phoenix.org/june-27-2019-intro-to-data-engineering/
Contact Information: 
Name: 
Jeff Wolkove
Email: 
[email protected]

LOCATION:
SRP ISB
1600 N Priest Dr.Tempe, AZ  85281Parking: From Priest turn west onto Salt River Dr, turn left at 2nd driveway.Click for Map

Please do not park in the small parking lot off Priest Drive. Visitors should park in the main employee parking lot, which is the lot NW of the building. See map below.

DATE:
Thursday June 27, 2019
8:00 – 8:30 AM: Light Breakfast
8:30 – 12:00 Noon: Introduction to Data Engineering

SESSION SUMMARY

Data Engineering is among the most in-demand skills for today’s data-driven and analytics focused organizations, by some accounts outstripping the demand for data scientists by a factor of 12. Data engineers are technical designers and developers, much like software engineers, but with different objectives and challenges. Due to the scope and complexity of data types, databases, and data management technologies the field encompasses a wide range of disciplines from architecture to coding and testing. Understanding the scope and complexity of data engineering is essential both for data engineers and for those who work with them.

You Will Learn:

            • What data engineering is and why it is essential for analytics-driven organizations

            • How data engineering is similar to software engineering and how it is different

            • The kinds of deliverables that data engineering produces

            • The range of skills—architectural, modeling, programming, and technologies—that are essential to data engineering

            • Core data engineering processes including pipeline design/development and data services design/development

            • Data engineering life cycles and methods including agile and DevOps

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