Big Data Fundamentals: From Hadoop to the Cloud
Big Data Fundamentals: From Hadoop to the Cloud Big data means large volumes from apps, sensors, and logs. You need ways to store, process, and share insights. The field has shifted from Hadoop-style data stacks to cloud-based platforms that combine storage, analytics, and automation. This change makes data work faster and easier for teams of all sizes. Hadoop helped scale data. HDFS stored files, MapReduce processed jobs, and YARN managed resources. Tools like Hive and Pig simplified queries. Still, building and tuning a cluster demanded heavy ops work and could grow costly as data grew. The approach worked, but it could be slow and complex for everyday use. ...