Dismal and Uncomfortable Science Of Data Engineering: Building Out Big Data With Your Analytics Team

Dive into the transformative world of data engineering with Qubole, as we present an insightful session on “Building Big Data with Data Engineering.” This session, led by Charlie, a seasoned data engineer with over 20 years of experience, unfolds the intricacies of data engineering, its challenges, and the strategic approaches to harnessing big data effectively.

What You’ll Learn:

The Essence of Data Engineering:
- Discover the critical role of data engineering in modern analytics and how it bridges the gap between raw data and actionable insights.
Navigating Big Data Challenges:
- Learn from Charlie’s extensive experience in managing vast datasets and the common pitfalls in big data projects.
Strategic Approaches to Data Management:
- Understand the importance of focusing on customer needs over technical perfection and the impact of this shift on project outcomes.
The Power of Cross-functional Teams:
- Explore how cross-functional teams can accelerate data-driven decision-making and foster innovation within organizations.
Embracing Failure to Foster Learning:
- Gain insights into the iterative process of prototyping, failing fast, and learning quickly to refine data projects.
Applying Historical Lessons to Modern Data:
- Charlie draws parallels between historical data management techniques and contemporary big data challenges, offering timeless wisdom for today’s data professionals.
Innovative Frameworks and Methodologies:
- Delve into the application of control charts, Scrum, and Agile methodologies in streamlining data engineering processes.

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