Quizlet #3 Flashcards

1
Q

Rapid elasticity

A

Multiple data centers create resilience against data loss or service disruption, without any extra overhead for businesses

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2
Q

Automation

A

Data can be combined, analyzed and served to business teams quickly and cost effectively

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3
Q

Data map

A

Chart of all the data used in end-to-end business processes

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4
Q

Categories or Buckets of Data

A

Users, Corporate, Industry

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5
Q

Corporate Data

A

Data about the company such as sales or operations

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6
Q

Industry Data Trends ,

A

patterns and research

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7
Q

Types of data

A

Structured and unstructured

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8
Q

Data formats

A

Images, audio, interactions, tabular

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9
Q

Structured data

A

highly organized and manageable (excel files, database records)

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10
Q

Unstructured data

A

nonnumeric information that is typically formatted in a way that is meant for human eyes and not easily understood by computers (word processing, audio, images, objects)

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11
Q

Blob

A

Binary large object - image, audio, and multimedia files

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12
Q

API

A

Application Programming Interface - a set of functions and procedures allowing the creation of applications that access the features or data of an operating system, application, or other service.

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13
Q

Human bias

A

Influence the way datasets are collected, combined, and used

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14
Q

Reasons to move data to the cloud (ROI)

A

Responsible for infrastructure, capacity of infrastructure, downtime, speed data can be used

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15
Q

Database

A

An organized collection of data, generally stored in tables and accessed electronically from a computer system

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16
Q

Data integrity, Scale

A

Data management priorities for businesses that use databases

17
Q

Data integrity

A

Data integrity, or transactional integrity, refers to the accuracy and consistency of data stored in a database. Data integrity is achieved by implementing a set of rules when a database is first designed and through ongoing error checking and validation routines as data is collected

18
Q

Cloud SQL

A

It’s 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. Offers security, availability and durability, and storage scales up automatically when enabled

19
Q

Cloud Spanner

A

Fully managed database service that is designed for global scale. 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