Author: Jane Hanson

BigQuery isolates data for machine learning. BigQuery improves analytics, lowers warehousing costs, and includes connectivity to other GCP products. BigQuery

Cloud Machine Learning Engine makes it easy to build sophisticated, large-scale machine learning models across a broad set of scenarios. Cloud

Customer 360 analysis and log analysis Availability, security, and preferred locations Machine learning APIs and Tensorflow Massively parallel databases and

Cloud IoT provides compute power across the globe at nearline locations. Cloud IoT scales with big data workloads so that

Eliminates the need to buy, build, and operate computing hardware. Getting queries answered rapidly over very large data sets. Accelerates

Cloud Pub/Sub ingests event streams from anywhere, at any scale, for simple, reliable, real-time stream analytics. Cloud Pub/Sub stores data

Almost NoOps, with downtime-free upgrades and maintenance No queries Empty space storage ZeroOps, with governance or maintenance required The correct

Cloud Pub/Sub takes the existing data processing pipeline and processes it alongside an incoming stream of input data, performs transforms on

Organizations find it difficult to stay ahead when they continuously have to accommodate new data sources and more data without sacrificing

Availability, throughput, and latency Sources, sinks, and transforms VMs, network, and Non-SQL Queries, machine learning, and compute The correct answer