Processing data at scale with Google Cloud

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.