Google Cloud Platform
BigQuery
In our day to day life we have to face a lot of issue with managing our data and processing of data. Also we have faced a lot of issue with storing and resolving queries of data. Storing and Resolving consumes time and costs a lot with incorrect infrastructure. In order to resolve this Google introduce an API called BigQuery. BigQuery will resolve the queries with the help of Google infrastructure. We just have to upload or move the data to BigQuery and rest will be done automatically.
We can also process BigQuery by web UI, command line tools and by running the BigQuery REST API by using java, .NET, and python. There are also many third-party tools using which we can also interact with BigQuery. It is serverless. We don't need any Infrastructure for management or any administrator.This API can scan terabyte or petabyte of data within few minutes. We can also upload or move our data from cloud or Google storage.This API automatically encrypt our data to ensure data security and availability. We can also put ACLs(access control list) to secure our data by using Google cloud identity and access management system.
Features
- We can scan data from Google cloud storage.
- Data is replicated on different locations such that we can have access on data at given time instance.
- We can manage our data from any part of the world.
- BigQuery can be integrated to different Google product.
- Due to ACLs, the data are highly secure.
- We can transfer our data to BigQuery according to our scheduled.
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