Processing data at scale with Google Cloud

Data Engineering after Hadoop

While Google’s MapReduce white paper was the basis of the now popular Hadoop ecosystem, Google is using next-generation scalable no-ops solutions to ingest, transform and analyze any amount of data, powering e.g. Google Search & Youtube. Find out how you can use the same to build end-to-end data pipelines for batch and real-time data ingestion, transformation as well as analytics and machine learning.