Quizlet #4

Question 1

Data warehouse

Answer 1

Assemble data from multiple sources including databases. Built to enable rapid analysis of large and multi-dimensional datasets. Central hub for all business data

Question 2

BigQuery

Answer 2

BigQuery is serverless or 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

Question 3

Pub/Sub and DataFlow

Answer 3

Work together to bring unstructured data into the cloud and transform it into semi-structured data

Question 4

Data lake

Answer 4

Repository for raw data and tends to serve many purposes. Sometimes hold ‘back-up’ data, which helps businesses build resilience against unexpected harm affecting their data. Also hold historic data and not relevant to day-to-day business operations

Question 5

Pub/Sub

Answer 5

Service for real time ingestion of data

Question 6

Data Flow

Answer 6

Service for large scale processing of data

Question 7

Cloud storage benefits

Answer 7

Any amount of data, low latency, accessible from anywhere

Question 8

Cloud Storage

Answer 8

Multi-regional storage ideal for serving content to users worldwide

Question 9

Regional Storage

Answer 9

Offered by Cloud Storage is ideal when an organization wants to use the data locally; it gives added throughput and performance by storing data in the same region as your compute infrastructure

Question 10

Looker

Answer 10

Business intelligence solution that sits on top of any analytics database and makes it simple to describe your data and define business metrics

Question 11

Artificial intelligence

Answer 11

Term that describes any kind of machine capable of acting autonomously

Question 12

Machine Learning

Answer 12

Use standard algorithms or standard models to analyze data in order to derive predictive insights and make repeated decisions at scale

Question 13

Data cleanliness

Answer 13

Cleaning of the data to prevent the model from making accurate predictions or understanding data behavior needs to be cleaned. Also referred to data consistency.

Question 14

Data completeness

Answer 14

Availability of sufficient data about the world to replace human knowledge

Question 15

Qualities of good data

Answer 15

Coverage, clean, complete

Question 16

Data coverage

Answer 16

Scope of domain and all possible scenarios the data can account

Question 17

Limitations on a good ML model

Answer 17

Lack of availability of better data, mistaken expectations, poor execution of program design and implementation

Question 18

TensorFlow

Answer 18

A comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push innovations in ML and developers to easily build and deploy ML powered applications and only pay for what is being used