Terms Flashcards

1
Q

TCO

A

Total Cost of Ownership

For when business want to move to the cloud, weigh the cost of cloud adoption against the cost of on-prem systems.

On-prem: Consider static resources throughout their lifetime, consider all costs such as power, cooling, maintenance, etc. Then calculate any missed benefits from the cloud.

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2
Q

CapEx vs. OpEx

A

Capital Expenditures are upfront business expenses put towards fixed assets. It is an item that is bought once. Hardware, cooling systems, etc. Small businesses struggle with CapEx.

OpEx are recurring costs. Website/domain hosting, registrations, or subscriptions. Not considered investments since you don’t own any capital.

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3
Q

Data warehouse

A

A place to store structured and semi-structured data but, unlike a database, is meant for analyzing. (BigQuery)

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4
Q

Data lake

A

Stores all kinds of data, used to explore, process, and analyze raw data regardless of source. It stores data in the original format.

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5
Q

Types of business data

A

First-party: proprietary customer data. Collected through transactions or direct web interactions.

Second-party: first-party data from another organization. Possibly a partner in a supply chain. The second-party organization does not own the data.

Third-party: datasets collected by an organization that don’t directly interact with an organization’s customers or business. Might be government or non-profit data such as demographics or industry benchmarkings.

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6
Q

Data value chain steps

A
  1. Data Genesis
  2. Data Collection
  3. Data Processing
  4. Data Storage
  5. Data Analysis
  6. Data Activation
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7
Q

Google Structured data storage options

A

Cloud SQL
Spanner
BigQuery

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8
Q

Cloud SQL

A

relational database including MySQL, PostgreSQL and SQL server. Doesn’t require any software installation, supports managed backups, has a firewall and encrypts data.

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9
Q

Spanner

A

Relational database (SQL) that is extremely scalable. Has zero downtime for planned maintenance and schema changes. Globally available.

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10
Q

BigQuery

A

Data warehouse. Stores petabytes of data and implements machine learning and intelligent analytics. Works in a multicloud environment. Compatible with relational SQL data, good for analytics.

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11
Q

Google Semi-structured data storage

A

Firestore
Bigtable

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12
Q

Firestore

A

NoSQL cloud database, accessible by web. Automatic scaling and offline usage available.

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13
Q

Bigtable

A

NoSQL database for large amounts of data

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14
Q

Google unstructured option

A

Cloud Storage

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15
Q

DMS

A

Database Migration Service, can easily migrate databases to google cloud.

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16
Q

Datastream

A

Synchronize data across databases, storage systems, and applications.

17
Q

Looker

A

Google Cloud business intelligence platform designed to for analytics, visuals, and data sharing. Supports BigQuery and 60 different SQL databases. Web-based

18
Q

Streaming analytics

A

process of processing and analyzing continuously instead of in batches. Equipment sensors, clickstreams, social media feeds, stock market, etc.

19
Q

Google Streaming Analytics products

A

Pub/Sub: Distributed messaging service that can receive messages from various device streams

Dataflow: creates a pipeline to process streaming data with batch data.