Innovating with Google Cloud Flashcards
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.
- Allow businesses
to consolidate data that is
structured and semi-structured - When combined with connector tools, _____ can transform unstructured data into semi-structured data that can be used for analysis
- Most ____ providers link storage and compute together, so customers are charged for compute capacity whether they are running a query or not
Data warehouses
- Serverless data warehouse
- resources, such as compute power, are automatically provisioned behind the scenes as needed to run your
queries. So businesses do not pay for compute power unless they are actually running a query
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.
- Pub/Sub and DataFlow
- DataFlow
___ are a repository
for raw data and tend to
serve many purposes.
- They often hold ‘back-up’ data, which helps businesses build resilience against unexpected harm affecting their data. Businesses are protected against data loss. They also hold data
that is historic and not relevant to day-to-day business operations.
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