Data Engineering is a recently emerged and important job role. Data engineers are very much in d emand by today’s data-driven and analytics focused organizations, by some accounts outstripping the demand for data scientists by a factor of 12 . Data engineering is a design and developer role, much like that of software engineers but with different objectives and challenges. D ue to the scope and complexity of data types, databases, and data managemen t technologies the field encompasses a wide range of disciplines from archi tecture to coding and testing. Understanding the scope and complexity of da ta engineering is essential both for data engineers and for those who work with them.
\nYou Will Learn:
\n\n What data engineering is and why it is essential for analytics-driven organ izations\n How data engineering is similar to software engineering and how it is diffe rent\n The kinds of deliverables that data engineering produces\n The range of skills—architectural, modeling, programming, and technol ogies—that are essential to data engineering\n Core data engineering processes including pipeline design/development and d ata services design/development\n Data engineering life cycles and methods including agile and DevOps\n\n DTSTART:20190318T083000 SUMMARY:Introduction to Data Engineering DTEND:20190318T114459 LOCATION: See Description END:VEVENT END:VCALENDAR