Which of the following is one of Google’s machine-learning-as-a-service offerings?

Which statement best describes where Cloud Dataproc falls on the big data processing model and the role it plays?

Cloud Dataproc allows organizations to scale data storage and ensures accessibility without compromising security. Cloud Dataproc allows organizations to easily use MapReduce, Pig, Hive, and Spark to process data before storing it, and it helps organizations interactively analyze data with Spark and Hive. Cloud Dataproc allows organizations to transform and enrich data in stream and batch […]

Within the big data processing model, which description defines where Cloud Pub/Sub falls and the role it plays?

Cloud Pub/Sub ingests event streams from anywhere, at any scale, for simple, reliable, real-time stream analytics. Cloud Pub/Sub stores data and ensures accessibility without compromising security. Cloud Pub/Sub processes queries, running them against a database of data to produce tables of the results. Cloud Pub/Sub analyzes data to capture insights to be used for more […]

How does Compute Engine improve quality and time to market?

Google bills in per-second increments, so you only pay for the compute time you use. With sustained use discounts, Google automatically gives discounted prices for long-running workloads with no up-front commitment required. Google can capture up to a petabyte of data on one Transfer Appliance without impacting the outbound network. Google-grade data centers give you […]