Uploaded June 2020 | Updated September 2026, 2 weeks ago
Here I introduce the most used Google Cloud Platform (GCP) Storage services are being used today in business.
At the end of this video I provide you simple tips for Google Cloud Data Engineering Exam if you are going to take and pass it in te context of Storage Services.
I use a simple questions based algorithm to decide which GCP Storage service is the best based on your business or project requirement. Following services are introduced:
If your data is not structured and you do not need mobile SDK:
# 1:22 - Google Cloud Storage
If your data is not structured but you need mobile SDK:
# 2:18 - Cloud Storage for Firebase
If you data is structured and your workload is analytic but you do not need updates on low latency:
# 3:44 - Google BigQuery
If you data is structured and your workload is analytic and you need updates on low latency:
# 4:21 - Google BigTable
if your data is structured but your workload is not analytic and your data is not relational and you do not need mobile SDK:
# 5:55 - Google Cloud Datastore
If your data is structured but your workload is not analytic and your data is not relational and you need mobile SDK:
# 7:02 - Cloud Firestore for Firebase
If your data is structured but your workload is not analytic and your data is relational and you do not need horizontal scalability:
# 8:17 - Cloud SQL
If your data is structured but your workload is not analytic and your data is relational and you need horizontal scalability:
# 9:02 - Cloud Spanner
# 9:25 - Hints for GCP Data Engineering Certification Exam.
Hoping this video will be beneficial to you. Good luck with your learning! Vytautas.
Here I introduce the most used Google Cloud Platform (GCP) Storage services are being used today in business.
At the end of this video I provide you simple tips for Google Cloud Data Engineering Exam if you are going to take and pass it in te context of Storage Services.
I use a simple questions based algorithm to decide which GCP Storage service is the best based on your business or project requirement. Following services are introduced:
If your data is not structured and you do not need mobile SDK:
# 1:22 - Google Cloud Storage
If your data is not structured but you need mobile SDK:
# 2:18 - Cloud Storage for Firebase
If you data is structured and your workload is analytic but you do not need updates on low latency:
# 3:44 - Google BigQuery
If you data is structured and your workload is analytic and you need updates on low latency:
# 4:21 - Google BigTable
if your data is structured but your workload is not analytic and your data is not relational and you do not need mobile SDK:
# 5:55 - Google Cloud Datastore
If your data is structured but your workload is not analytic and your data is not relational and you need mobile SDK:
# 7:02 - Cloud Firestore for Firebase
If your data is structured but your workload is not analytic and your data is relational and you do not need horizontal scalability:
# 8:17 - Cloud SQL
If your data is structured but your workload is not analytic and your data is relational and you need horizontal scalability:
# 9:02 - Cloud Spanner
# 9:25 - Hints for GCP Data Engineering Certification Exam.
Hoping this video will be beneficial to you. Good luck with your learning! Vytautas.





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Šiame video pristatau, kaip reiktų paruošti vieną populiariausių virtualių serverių XAMPP darbui. Taip pat, kaip į XAMPP aplinką instaliuoti ir paruošti pilnaverčiui darbui WordPress turinio valdymo sistemą internetinėms svetainėms kurti.
Šiame video pamatysite:
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2. Sisteminiai virtualaus serverio pakeitimai: 1:14
3. WordPress atsisiuntimas ir instaliavimas: 2:40
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5. Wordpress paruošimas darbui: 5:31
**Naudotos atsisiuntimo nuorodos**
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- Wordpress https://wordpress.org/
Norite daugiau pamokų? Kreipkitės vytautas.bielinskas@gmail.com XAMPP ir Wordpress instaliacija + paruosimas darbui [LT]](https://i.ytimg.com/vi/hauMwxewpmo/mqdefault.jpg)




