data ✅ Read / Write / Update (ACID) ✅ E.g. Database ✅ For query, dashboards and analytics ✅ Historical data ✅ Write once, read many ✅ E.g. Data Warehouse, Data Lake, Data Mart Analytics Workload OLTP OLAP
นิยมในตอนนี้ Brief History of Data Engineer ‘06 ‘10 ยุค Big Data (20xx) 1983 ยุค Database ‘15 1979 1989 ‘14 ‘13 ‘12 ‘11 เริ่มมี Job Data Engineer MapReduce paper ‘04 ‘18 ‘19 10
through the Quickstart 2. Understand its fundamentals 3. Know their objectives Bash Python Java / Scala (optional) SQL Programming Languages Frameworks Platforms
▸ Data Quality is a key 🔑 2. Model ▸ Machine Learning Pipelines ▸ Train, Evaluate, Test 3. Software ▸ Model Serving & Predictions ▸ Deployment strategies & Infra 🐳☁
and design self-running software to automate predictive models. An ML Engineer builds artificial intelligence (AI) systems that leverage huge data sets to generate and develop algorithms capable of learning and eventually making predictions. - Brainstation.io ML Engineer Machine Learning Engineer คือ นักพัฒนาโปรแกรมที่วิจัย สราง และออกแบบ ซอฟตแวรที่ สามารถรันโมเดลทํานายผลได และสรางระบบ AI โดยใชประโยชนจากขอมูลจํานวนมาก
Developers ML System Deployment, monitoring, updating of logics Feature engineering ML algorithms Chip Huyen, “Designing Machine Learning Systems” Evaluation Data Infrastructure Data Scientist Feature engineering ML algorithms Evaluation
engineer you are, not like the great machine learning expert you aren’t. Martin Zinkevich https://developers.google.com/machine-learning/guides/rules-of-ml - Rule of Machine Learning -