What are CData Drivers for Google BigQuery?
The process of storing as well as querying the huge data set is possible but it can be time-consuming and very expensive and the user may not have the right equipment, right hardware, and even infrastructure. In this case, the Google BigQuery is a tool that is an enterprise data warehouse, that is capable of solving this problem by providing the user with a fast SQL query with the use of the power and strength of Google's infrastructure. The user can easily and simply move his data into a BigQuery and later allow us to handle the following hard work. The user is capable of controlling the access to the project as it has a database based on the need and requirements of the organization, such example can be of providing others the ability to check and view the query of the user data. The user can easily access the BigQuery with the help and use of the cloud console with the use of the command-line tool or even by making some calls to the API of BigQuery REST with the use of the variety of libraries that are for clients such as Java, .NET, and even the Python. The user is capable of noticing third-party tools that they can use along with the internet with the assistance of the BigQuery and perform the process of visualizing the data or even loading the same data. It is a fully managed tool and the user does not need to deploy any resources to get started such as discs and machines that are virtual. It permits the user to connect to the residing Google data sets of the BigQuery from anywhere you desire and connect and Report the programs via the bi-directional drivers for information.
ETL, Replication, & Warehousing
In the process of computing ETL which stands for extract, transform and load is known to be the general process of the data being copied from one or many sources into different destinations and they are capable of representing the data differently from its source. The process called extract transform and load became popular in the year 1970.
Data Management
Data management is known to be the process that is administrative and it includes the processes of validating, acquiring, storing, protecting as well as processing data which is required to ensure accessibility, of the data for all of its users and developers. The process of data management is being used widely by the organization as well as enterprises and they're making use of the Big Data more than ever. It encourages popular protocols like the ODBC, JDBC, and even the ADO.NET with the interfaces of the wire-protocols for the servers such as SQL and MySQL.
Workflow & Automation Tools
It allows the connection of the user from information migration, ESB, BPM, and even the iPaaS, tools to the BigQuery. The adapters on the drivers that you provide the user are capable of providing the means and the access from programs such as SQL SSIS, Mule Soft, BizTalk, Microsoft flow, power apps, and a lot more.
Developer Tools & Technologies
The BigQuery can be integrated easily and simply from any place that the user desires. It is capable of offering the user a version that will simplify the process of integration for the developers to create software that has better and higher quality than what it was earlier. The user is capable of finding more about the advantages and the benefit of the program via the Iven Operation and Digital Transformation.
BI & Analytics
BI or popularly known as business intelligence is capable of providing the users with a faster and a very straightforward process and way in which the user can connect to the visualization techniques along with the information of the BigQuery. It is capable of supplying functionality to all the users and developers via access to the metadata of the BigQuery as well as the information. Can easily integrate with a user's tools of analytics.
Data Virtualization
It provides data abstraction to the users by the drivers and adapters that it provides and it is capable of supporting the information virtualization and the feature like the federation for all its users and developers.
This package includes the following components:
Excel Add-In for Google BigQuery v22.0.8509
Google BigQuery ADO.NET Provider v22.0.8509
Google BigQuery BizTalk Adapter v21.0.8011
Google BigQuery Cmdlets v22.0.8326
Google BigQuery FireDAC Components v22.0.8509
Google BigQuery JDBC Driver v22.0.8509
Google BigQuery MuleSoft Connector v21.0.8011
Google BigQuery ODBC Driver v22.0.8509
Google BigQuery Power BI Connector v22.0.8509
Google BigQuery SSIS Components v22.0.8509
Google BigQuery Tableau Connector v22.0.8509
Click on the below link to download CData Drivers for Google BigQuery with License Key NOW!
Excel Add-In for Google BigQuery.rar (Size: 7.4 MB - Date: 6/17/2023 3:42:57 PM)
