Explore a pragmatic approach to data-related challenges in this 48-minute conference talk from MLCon. Learn how to tackle problems with limited resources, navigate GDPR concerns, and cut through the hype surrounding deep learning. Discover insights on data integration within organizations, the evolution of roles, and practical problem-solving strategies based on real-world experience. Gain valuable knowledge on making impactful decisions, understanding the data pyramid, and implementing effective KPI definitions. Delve into topics such as Google Analytics, Tableau, AV testing, machine learning realities, data DevOps, and cloud-agnostic advice. Examine the pros and cons of various data engineering tools and technologies, including Hadoop, Spark, Presto, and Clickhouse. Acquire tips on finding skilled data engineers and integrating data with marketing efforts in this comprehensive, down-to-earth presentation for data professionals facing resource constraints.