Advantages: 🔹 You can launch distributed big data environment in several clicks 🔹 You can choose between transitive and always-on clusters 🔹 You can granularly configure memory, CPU, GPU 🔹 You can tune autoscaling parameters 🔹 You can use not only Spark but also Hive, Hudi, etc.
🐾Computing for Data and ML - EMR🐾
Advantages: 🔹 You can launch distributed big data environment in several clicks 🔹 You can choose between transitive and always-on clusters 🔹 You can granularly configure memory, CPU, GPU 🔹 You can tune autoscaling parameters 🔹 You can use not only Spark but also Hive, Hudi, etc.