June 27, 2019 – Introduction to Data Engineering

Phoenix DAMA Presents Dave Wells  Sponsored by IBM Analytics

Click Here to Register

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

 

This presentation is sponsored by IBM Analytics.  There will be a short presentation by Nancy Linder from IBM during the session.  Nancy is passionate about helping companies deliver business data with over 25 years in the industry.  She served on the Dallas/Fort Worth DAMA board for several years.

 

Many businesses underestimate the pitfalls poor data can create. In search of instant insights, businesses prioritize data access and analysis over data governance and quality. Without ensuring data is trustworthy, complete and consistent, leaders can’t be confident they are extracting full value from their data. More alarmingly, if an organization doesn’t know what data they have and how they are using it – they can be subject to regulatory non-compliance challenges.

 

At IBM, we’re helping clients achieve digital transformation by building a unified data governance and integration foundation to deliver trusted, business-ready data. One that helps: