How Does An ETL Process Work in The Google Cloud Platform? The Google cloud platform is a fully managed service for enriching data on the ETL platform along with historical batches for the convenience of enterprises. A big data pipeline from the ETL platform works with reliability and expressiveness without causing the enterprise to make any compromises. The serverless approach for resource provisioning and management allows enterprises to have access to unlimited capacity to resolve their data pipeline ETL requirements. The Google cloud platform can unlock transformational use cases across industries including point-of-sale, clickstream, segmentation analysis for retail, personalized user experience in gaming, fraud detection in financial services, and IOT analytics in healthcare, manufacturing, and logistics. ETL is the term for extract, transformation, and load processing. Before trying to understand how the ETL process will work with the Google cloud platform the enterprise must download the ETL tool for the Google engine. The tool is an application which can automate the steps of getting the Google cloud platform instance up and running and installing the software necessary for designing, creating and executing the ETL workflow.
Enterprises that already have an established process for performing the ETL for loading data to the Google cloud platform will need a reliable way to load the data without having to face any complexities. Enterprises that are looking forward to loading data from BigQuery can use the application developed by Rivery and automatically process data from the ETL platform to be transferred to the Google cloud platform. Enterprises that are just considering moving their ETL platform to Google do not have to waste time and resources trying to learn how the ETL process will work on the platform chosen by them. They can use their expertise in the possession of Rivery and obtain any help they need simply by contacting the company for assistance. Quite a few enterprises are keen on migrating their onpremise data warehouse to the Google cloud platform. However, they also need ETL solutions which can help them to automate the tasks of extracting data from databases that are operational, transforming the data, and loading the data into the Google platform and initiating the calculation aggregators. Enterprises need support for numerous operational data resources as well as support for relational and NoSQL databases, streaming events, and files. They always look for the ability to utilize DML statements in BigQuery for the secondary processing of data within the staging tables. The ability to maximize the utilization of resources automatically by scaling up or down according to the workload is also a necessity which is sought after by enterprises. These are the kind of companies which have millions of records that need to be transferred within seconds. They are not in a position
to lose any data and therefore need a reliable platform to make the ETL process function as needed in the Google cloud platform. Large enterprises despite not being short of funds are also the kind of companies that are reluctant to spend resources especially when it can be avoided. The IT managers of enterprises would certainly not mind utilizing the free trial which is being offered by Rivery to understand how they can accomplish the ETL process and even understand how it is functioning on Google cloud before deciding upon a subscription with the company. The options of a free trial have certainly been offered by Rivery and IT managers can visit the website of the company to create an account for themselves to understand whether the data pipeline in their possession will function appropriately on Google cloud and even whether they can complete the entire process of migrating their data without difficulties to a cloud platform of their choice.