Category Archives for Google Cloud

Google Cloud SQL vs Google Cloud Spanner

Cloud SQL➪ is a fully managed, relational database offering from Google Cloud Platform. There is no need to maintain, install software or create admin accounts for Cloud SQL. Cloud SQL➪ is loaded with tons of features like high security, user friendly interface, high availability and automatic failovers etc. Cloud Spanner➪ is a fully managed database […]

Read More

Google Cloud Bigtable

🚀 Cloud Bigtable is a fully managed wide-column NoSQL database that scales to petabyte-scale⚖️. It is optimized for low latency, large numbers of reads and writes, and for maintaining performance at scale. 🚀 Bigtable supports the open-source HBase API standard to simplify integration with the Apache ecosystem including HBase, Beam, Hadoop, and Spark. 🚀 Bigtable […]

Read More
Google Professional Cloud Architect] Cloud IAM

Day 4 [Google Professional Cloud Architect]: Cloud IAM & Storage Services

👉 Cloud IAM ✶Google Identity and Access Management is a web service that gives cloud administrators the authority to decide who can take a particular action on a particular resource. In simple words, IAM lets one decide who (Identity) has what role (Access) to which resource. 🚀 IAM Policy IAM policy is a collection of […]

Read More
GCP

Day 3 [Google Professional Cloud Architect] Q/A: Virtual Private Cloud and Introduction to Cloud IAM

Google Cloud Platform is one of the fast-growing cloud service providers in the cloud computing market and Google Professional Cloud Architect is one of the most popular GCP certifications. A Google Cloud Architect is responsible for designing, implementing, and managing cloud solutions on GCP using various services like Compute, Networking, Databases, Storage, Big Data, Management, […]

Read More
image-4

Day 2 [Google Professional Cloud Architect] Q/A: Virtual Machines (Compute Engine)

Google Cloud Platform is rapidly growing🚀 its wings in the cloud computing market and Google Professional Cloud Architect Certification is on-demand certification among all. A Google Cloud Architect is responsible for designing, implementing, and managing cloud solutions on GCP using various services like – Compute, Networking, Databases, Storage, Big Data, Management & Identity & Security. […]

Read More
GCP

Google Professional Cloud Architect Q/A | Day 1 Live Session Review

Google Cloud Platform has been one of the fastest-growing cloud service providers of late. One of the most popular certifications under Google Cloud Platform has been that of the Professional Cloud Architect, which is also the highest paying certification of 2019 & 2020. A Google Cloud Architect is responsible for designing, implementing, and managing cloud […]

Read More
GCP

Google Cloud Build: Serverless CI/CD Platform

🔗Cloud Build is a service that executes your builds on Google Cloud Platform infrastructure. 🔗 It can import source code from Cloud Storage, Cloud Source Repositories, GitHub, or Bitbucket, execute a build to your specifications, and produce artifacts such as Docker containers or Java archives. 🔗 You can use Cloud Build with the Google Cloud […]

Read More

How to Choose Your Cloud Career Path?

As we know, businesses are rapidly moving towards the cloud and expanding their infrastructure. As a result, enterprises want Cloud engineers to handle their resources. To become successful in the cloud domain, look for opportunities to gain relevant experiences—practice cloud tools provided by cloud vendors( AWS, Azure, GCP, Oracle, etc.) with a free trial account. […]

Read More

Google Cloud Key Management Service (KMS)

🚀 Google’s main aim is to provide a scalable, reliable, and performant solution, with the widest spectrum of options that can be controlled, on a platform that is easy to use. 🚀 Google Cloud Key Management Service (KMS) is a cloud service for managing encryption keys for other Google cloud services that enterprises can use […]

Read More
GBQ

Google BigQuery: Cloud Data Warehouse

BigQuery is a data warehouse offered by Google for running SQL queries in the range of billions of rows. It allows for collecting, storing, analyzing, and eventually visualizing the analyzed data in multiple ways. From Machine Learning to Geospatial Analysis, BigQuery finds its application in many popular fields in the technical industry. Learn more about […]

Read More
1 2 3 4