Google Cloud

I used Googl Cloud To Launch My backend software (database) for my Business Website and the integration resulted to the most successful profits I've ever seen in my business history. They offer a wide range of Cloud computing and offer about $300 credit for building this system.

You have to be willing to put in the maximal time and effort to make good business profit. Its hardwork and you have to adapt to the Cloud environment. At the end of the day I'm not complaining I prefer Google Cloud Server when it comes to Cloud Computing , you just have to be ready to work smart and hard.

I think the Kubernetes cloud service is very easy to use, partly because it is provided by Google, which developed Kubernetes. We also have a full range of AI services, and by combining them with Google AI, we can offer AI services seamlessly, which helps improve the added value of our services.

The web browser interface is constantly changing. When the system is updated, it also changes the menu display, etc., so it can be a bit confusing. There is no problem with the data processing itself, but sometimes the response at the first stage of access from the browser seems a bit slow.

One of the standout features of Google Cloud is its seamless integration with other Google services. The synergy between Google Workspace and Google Cloud Platform makes it incredibly easy to collaborate and share resources across teams. Whether we’re working on documents in Google Docs or analyzing data with BigQuery, the ability to connect different services enhances productivity and promotes efficiency.

The only thing I can say I wish was different would be the price as I wish it was more available to everyone no matter their budget.

Google Cloud Platform has enabled our IT team to store terabytes of marketing, financial and human resources data in relational databases. So, it can be easily accessed by analysts and developers who know SQL using tools such as BigQuery, Data Studio and AppSheet. GCP is easy to learn and is supported by extensive documentation available for free on Google sites such as cloud.google.com. Public datasets such as Bitcoin cryptocurrency can be analyzed and visualized easily using integration between BigQuery and Data Studio. Pre-built BigQuery machine learning models give analysts and data scientists a head start on predicting or forecasting future customer behavior, sales, etc. based on historical data. Connected Sheets allows analysis of millions of rows of data without knowing SQL, using Pivot charts and through seamless integration between BigQuery and Google Sheets.

Google Cloud Platform works great with Google products such as Google Drive, BigQuery and Data Studio. But is not that efficient when it comes to non-Google analyst tools such as Excel or Word. BigQuery interface is not very intuitive and involves multiple layers of access which causes confusion for administrators. Data Studio works fine for basic clickstream and transactional reporting but lacks statistical or scientific analytical capabilities. AppSheet plug-in for GCP can be used by developers to build apps using data but is costly for small businesses.