A logistic giant using Google Cloud plans to achieve precise package volume forecasting by getting real-time and predictive analytics insight.
To achieve this, they plan to use data from across clouds in the data warehouse and analyze petabytes of data using ANSI SQL. One of the key requirements is that the product implemented for this requirement needs Zero overhead. Which Google Cloud offering would you suggest using?
Click on the arrows to vote for the correct answer
A. B. C. D.Correct Answer: A.
Option A is correct.
Bigquery is an agile and serverless multi-cloud data warehouse.
Bigquery is scalable and highly cost-effective.
Option B is incorrect.
Cloud Data Fusion helps build and manage data pipelines for data integration, and it is not a data warehouse.
Option C is incorrect.
Fully managed and highly scalable Google Cloud product Data Catalog is a metadata management and data discovery service.
Option D is incorrect.
Fast, serverless and cost-effective offering from Google Cloud Dataflow facilitates streaming analytics for batch and stream processing.
https://cloud.google.com/bigquery https://cloud.google.com/data-fusion https://cloud.google.com/data-catalog https://cloud.google.com/dataflowThe best Google Cloud offering for achieving precise package volume forecasting with real-time and predictive analytics insight while ensuring zero overhead is BigQuery.
BigQuery is a fully-managed, cloud-native data warehouse that allows you to store and analyze large volumes of data using ANSI SQL. It is designed for high-performance, scalable, and cost-effective data processing. With BigQuery, you can easily access and analyze petabytes of data from multiple sources, including Google Cloud Storage, Cloud Datastore, and Cloud Storage for Firebase.
One of the key advantages of BigQuery is that it is a serverless solution, which means that you don't need to manage any infrastructure or worry about scaling your resources. It automatically scales to handle any amount of data and workload, and you only pay for the queries and storage that you use. This makes it a cost-effective and low-overhead solution for data analysis.
Another advantage of BigQuery is its real-time data analysis capabilities. It can handle real-time streaming data and can process queries in near-real-time, providing you with real-time insights into your data. This makes it an ideal solution for businesses that require real-time analytics to make data-driven decisions.
In summary, BigQuery is the best Google Cloud offering for achieving precise package volume forecasting with real-time and predictive analytics insight while ensuring zero overhead. It provides high-performance, scalable, and cost-effective data processing, real-time data analysis capabilities, and a serverless architecture that eliminates the need for infrastructure management.