Blog

Bold Commerce To Google BigQuery -Made Easy

6 minutes read

Modified on July 30, 2022

eCommerce

Do you want to migrate your data from Bold Commerce to Google BigQuery? Here is an easy and simple solution for this data transfer process using an ETL tool known as Daton.

E-commerce businesses’ main goal is to decrease losses by making the company more data-driven. Businesses believe in gaining knowledge about the demand and supply trends of the market to stay ahead of other competitors. Thus, businesses need to get all data from Bold Commerce and several other apps for analysis and calculation. Bold Commerce brings various data on the e-commerce store, customer and billing data that companies must analyze, with product demand, customer feedback, and user behavior data. So, that you can get a total understanding of the business and identify areas of improvement. Nowadays, many e-commerce sellers reduce the duration & effort of reporting and analyzing their multiple data silos by integrating these vast volumes of data from Bold Commerce to Google BigQuery. Hence, integration simplifies the process of reporting and analysis.

Why integrate Bold Commerce to Google BigQuery

Bold Commerce leverages e-commerce stores with helpful integrations and tools. It is used to access store, purchase, customer data and billing efficiently. The integrations and tools from Bold will seamlessly consolidate crucial business data so companies can enhance different processes and gain insights like product demands, customer feedback, payment issues. The issue occurs when data from various tools in Bold Commerce is required to be downloaded in sheets (like Ms Excel) and analyzed to build reports. Such a process consumes time and effort to execute manually and analyze. Thus, the results get delayed and not much accurate. The solution is to extract all the data from Bold Commerce using an automated ETL tool like Daton and save it in a cloud data warehouse. This tool quickly transfers data from multiple sources and automatically load Bold data into a data warehouse like Google BigQuery with a single integration and without coding.

Bold Commerce Overview

The Bold Commerce is a software development company that provides several industry-leading e-commerce solutions for the world’s most innovative brands. Bold Commerce helps enterprises by providing them with several tools so that they can enhance their e-commerce stores. Entrepreneurs can customize these tools for a more remarkable customer experience. Furthermore, this platform gives tools for CheckOut, Subscriptions and Price Rules. It also offers Bold Analytics, known as Bold BI. This analytics tool also provides predictive analytics. It lets you identify, and understand market trends, business risks and predict future outcomes. Users can efficiently operate their business operations, gain strategic business insights, and maximize revenue with Bold BI’s help.

Google BigQuery Overview

Google BigQuery is the first serverless data warehouse service that was available in the market. A data administrator creates the schema and enhances the partitions for cost and performance in a Google BigQuery environment. This data warehouse automatically scales to meet any demands of a query. This cloud service provides an excellent pricing model based on the quantity of data processed by incoming queries, not on the compute capability or the storage for processing queries. The best thing about using Google BigQuery data warehouse is that you can quickly load data to the service as soon as you begin to use it. The primary requirements are a mechanism to load the data into a data warehouse like Google BigQuery and write SQL queries efficiently.

How to replicate Bold Commerce to Google BigQuery

There are two ways in which you can replicate Bold Commerce to Google BigQuery warehouse.

Build a data pipeline

This process needs much experience and consumes a lot of time and manpower. The chances of errors are more. You need to extract data using Bold Commerce APIs & then connect it properly with the Google BigQuery data warehouse.

Use Daton to integrate Bold Commerce & Google BigQuery

Use Daton to integrate Bold Commerce & Google BigQuery is the fastest & easiest way to save your time and effort. Leveraging an eCommerce data pipeline like Daton significantly accelerates and simplifies the time it takes to build automated reporting.

Configuring data replication on Daton only takes a few minutes and a few clicks. You won’t require any code or manage any infrastructure, yet they can access their Bold Commerce data in a few hours. Daton is easy and simple to use. The interface allows analysts and developers to use UI elements to configure data replication from Bold Commerce data into Google BigQuery.

Daton takes care of:

Authentication
Rate limits,
Sampling,
Historical data load,
Incremental data load,
Table creation, deletion &reloads,
Refreshing access tokens,
Notifications

And many more important features to help analysts so that they can focus more on data analysis rather than worry about the data migration.

Steps to Integrate Bold Commerce with Daton

Sign in to Daton
Select  Bold Commerce from the Integrations page
Provide Integration Name, Replication Frequency, and History. The integration name cannot be changed later as it would be used in creating tables for the integration.
You will be redirected to the Bold Commerce login page for authorizing Daton to extract data periodically.
Post successful authentication, you will be prompted to choose from the list of available Bold Commerce accounts
Select the required tables from the available list of tables
Then select all required fields for each table
Submit the integration

Here are more reasons to explore Daton for Bold Commerce to Google BigQuery Integration

Faster Integration of Bold Commerce to Google BigQuery– Bold Commerce to Google BigQuery is one of the integrations Daton can handle very fast and seamlessly. By following a few steps, you can easily connect Bold Commerce to Google BigQuery.
Zero Effort & Maintenance: Daton takes care of all the data replication processes and infrastructure automatically once you sign up for a Daton account and configure the data sources. You don’t need to manage any infrastructure or write codes.
You get an incredibly friendly customer support team who ensure that you leave the data engineering to Daton and focus on analysis and insights.
Daton is an Enterprise-grade data pipeline which you get at an unbeatable price to help every business become data-driven. Get started today for just $10 with a single integration and scale up as your demands increase.
Robust Scheduling Options: allows you to schedule jobs based on their requirements using a simple configuration step.
Daton supports popular cloud data warehouses like Snowflake, Google BigQuery, Amazon Redshift, Oracle Autonomous Data Warehouse, PostgreSQL and more.
Flexible loading options allows optimizing data loading behaviour to maximize storage utilization and ease of querying.
Enterprise-grade encryption gives your peace of mind.
Support for 100+ data sources: In addition to Bold Commerce, Daton can extract data from various resources like Databases, Sales and Marketing applications, Analytics and Payment platforms. Daton will ensure that all useful data can be transferred to Google BigQuery for generating relevant insights.

For all sources, check our data connectors page.

Other Articles by Saras,

Bold Commerce is a software development company that offers e-commerce solutions for various industries. It provides tools for checkout, subscriptions, price rules, and Bold Analytics, which include predictive analytics. By integrating Bold Commerce with Google BigQuery, businesses can consolidate crucial data from multiple tools and analyze it to gain insights into product demands, customer feedback, payment issues, and more. It simplifies the process of reporting and analysis, making companies more data-driven and enhancing their business operations while maximizing revenue.

Google BigQuery is a serverless data warehouse service that automatically scales to meet any query demands. It provides an excellent pricing model based on the quantity of data processed by incoming queries, making it an affordable option. Google BigQuery is the first service that introduced a serverless data warehouse, which means that there is no infrastructure to manage, and businesses can quickly load data into the service. It is considered a leading data warehouse service due to its ability to enhance partitions for cost and performance, which helps with scalability and query performance.

Daton is an ETL tool that can help businesses integrate their Bold Commerce data with Google BigQuery quickly and easily. It simplifies the data transfer process and eliminates the need for manual transfer using MS Excel sheets. Daton offers automated ETL solutions that extract data from multiple sources and load it into a cloud data warehouse like Google BigQuery. The best thing about using Daton is that it is easy and simple to use, and businesses can access their Bold Commerce data within a few hours.

One can replicate Bold Commerce data to Google BigQuery in two ways. The first is by building a data pipeline, which requires a lot of experience, time, and manpower, making it more prone to errors. The second is by using Daton to integrate Bold Commerce with Google BigQuery, which is the fastest and easiest way to save time and effort. Setting up data replication on Daton takes only a few minutes and a few clicks, and businesses can access their Bold Commerce data within a few hours. Daton takes care of several features such as authentication, rate limits, sampling, historical and incremental data load, table creation, deletion and reloads, refreshing access tokens, notifications, and more.

Daton offers faster integration of Bold Commerce with Google BigQuery, simplifies the process of data transfer, and eliminates the need for manual data transfer using MS Excel sheets. Daton is easy and simple to use, and businesses can access their Bold Commerce data within a few hours. Daton provides automated ETL solutions that extract data from multiple sources and load it into a cloud data warehouse, such as Google BigQuery.