Data lifecycle

Question 1

Four phases Data lifecycle steps

Answer 1

** Ingest
** Store
** Process/Analyze
** Explore/Visuzlize

Question 2

Ways to ingest Data?

Answer 2

** Streaming
** Batch
** application

Question 3

batch Streaming service

Answer 3

pubsub

Question 4

Ingest batch

Answer 4

** cloud storage - Any binary object
** Storage transfer service
** BQ transfer service
** Storage transfer appliance PetaBytes

Question 5

Batch application ingestion

Answer 5

** Cloud logging
** Cloud Pub/Sub
** CloudSQL
** Cloud Firestore
Cloud BigTable
** Cloud Spanner

Question 6

Data lifecycle storing data

Answer 6

** cloud Storage
** Cloud storage for firebase
Databases
** Cloud SQL
** Cloud Spanner Structured
** BigTable - NoSQL
** Cloud Firestore - next gen cloud datastore, NoSQL
Warehouse
** BigQuery - serverless high

Question 7

Blob

Answer 7

binary large object

Question 8

Data lifecylce Process

Answer 8

** Compute Engine other services run on GCE
** GKE containerized - scale as needed More weight than GCE
Cloud Run next gen AppEngine

Question 9

Processing data large-scale services

Answer 9

** Cloud Dataproc- data lake moder, etl, secure DS and scale
Hadoop, spark, flink, presto
** Cloud Dataflow - apache beam ground-up fashion
** Cloud Dataprep - intelligent

Question 10

Data lifecycle Analyzing Services

Answer 10

BigQuery PetaBytes of data

Question 11

Data lifecycle Exploring Services

Answer 11

** Cloud Datalab jupyet notebook
**

Question 12

Data lifecycle visualizing services?

Services used to visualize data in GCP

Answer 12

** BigQuery BI
** Cloud Data Studio
** Looker