A fully managed relational database management service, or RDBMS. It easily integrates with existing applications and Google Cloud services like Google Kubernetes Engine and BigQuery.
CloudSQL
Offers security,
availability and durability, and
storage scales up automatically
when enabled.
A fully managed database service, and it’s designed for global scale. With ____,
data is automatically and instantly copied across regions. This replication means that if one region
goes offline, the organization’s data can still be retrieved from another region.
Cloud Spanner
_____ assemble data from multiple sources including databases. They are built to enable rapid analysis of
large and multi-dimensional datasets.
Data warehouses
BigQuery
___ & ____ can work
together to bring unstructured
data into the cloud and transform
it into semi-structured data.
This data can then be sent from ____ to BQ where it is made immediately available for analysis.
2. DataFlow
___ are a repository
for raw data and tend to
serve many purposes.
Data lakes
For data that will be accessed less often, Cloud Storage
offers ___, ____ and ___ storage classes.
Nearline, Coldline and Archive storage classes.
___ is a way to use standard algorithms or standard models to
analyze data in order to derive predictive insights and make repeated decisions at scale
Machine Learning
___ is a unified, simply managed platform that makes machine learning easy to adopt by analysts and developers. It provides modern ML services, with the ability to generate tailored
models and use pre-trained models.
Google Cloud AI Platform
\_\_\_\_ has a comprehensive, flexible ecosystem of tools, libraries and community resources. \_\_\_\_ lets researchers push innovations in ML and developers to easily build and deploy ML powered applications.
TensorFlow
____ is a hosted repository of plug-and-play AI components,
including end-to-end AI pipelines and out-of-the-box algorithms
The AI Hub