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Integrate Shopify to Snowflake – Made Easy

6 minutes read

Modified on July 31, 2022

eCommerce

If you are looking to transfer data from Shopify to Snowflake quickly, there is an easy solution for this data transfer using a powerful ETL tool.

For the complex cross-platform journey of a modern-day customer in eCommerce sites, vendors have to wisely decide which channels they want to sell or spend their advertising budget. In this article, we will discuss why data from eCommerce platforms like Shopify is essential for your business and how you can access all those data in a data warehouse without writing a single line of code.

Why integrate Shopify to Snowflake

An e-Commerce company sells its products in various countries, and additionally uses Shopify for its Online Stores. They have different marketing platforms, inventory management systems, logistic channels, payment gateways, and target audiences in each country. If the company wants to calculate the overall profit, it will use the formula:

Profits/Losses = Sales – Expenses

The sales data is stored in Shopify, having multiple data silos for different countries. Expenses calculation will be obtained from the marketing costs in advertising platforms. Other expenses will come from inventory management, logistic, payment or accounting softwares. It becomes a cumbersome task to consolidate these data from different software for each country separately, so in order to improve analysis accuracy and effectiveness, the company can connect Shopify to Snowflake. Thus, data analysis for this data load usually involves a time lag, which reduces the analysis’s accuracy and effectiveness. Data migration will get simplified if you load all of the relevant data in a data warehouse like Snowflake using an ETL tool.

Shopify Overview

Shopify is a fully-hosted eCommerce website builder popular for its easy-to-use interface. It is designed to build scalable online stores for companies and contain social media selling tools that integrate with Amazon marketplaces. Shopify boasts a wide range of features and has excellent customer service with tons of apps that natively support it. Merchants can avail of its payment platform synced with the orders section to accept credit cards directly from Shopify.

Snowflake Overview

Snowflake is a popular cloud data warehouse platform. It provides a scalable cloud platform which supports advanced data analytics helping various teams especially developers. The robustness, cost-effectiveness, and scalability of Snowflake make it very attractive for companies to adopt.

How to replicate Shopify to Snowflake

There are two ways in which you can replicate Shopify to snowflake warehouse.

Build Your Data Pipeline

This process needs much experience and consumes a lot of time and effort. The chances of errors are more. You need to extract data using Shopify APIs & then connect it correctly with the Snowflake data warehouse. The whole process to build a data pipeline on its own is quite challenging.

Use Daton to integrate Shopify & Snowflake

Use Daton to integrate data from Shopify to the Snowflake data warehouse. It is the fastest & easiest way to save your time and efforts. Leveraging an eCommerce data pipeline like Daton simplifies and accelerates the time it takes to build automated reporting.

Configuring data replication on Daton on only takes a few minutes and a few clicks. Analysts do not have to write any code or manage any infrastructure, yet they can get access to their Shopify data in a few hours. Daton’s simple and easy to use interface allows analysts and developers to use UI elements to configure data replication from Shopify data into Snowflake.

Daton takes care of:

Authentication
Rate Limits
Sampling
Historical Data Load
Incremental Data Load
Table Creation, Deletion and Reloads
Refreshing Access Tokens
Notifications

and many more important functions that are required to enable analysts to focus on analysis rather than worry about the data that is delivered for analysis.

Steps to Integrate Shopify with Daton

1. Sign in to Daton

2. Select Shopify from the Integrations page.

3. Provide Integration Name, Replication Frequency, and History. Integration name would be used in creating tables for the integration and cannot be changed later

4. You will be redirected to Shopify login for authorizing Daton to extract data periodically

5. Post successful authentication, you will be prompted to choose from the list of available Shopify Ad accounts

6. Select required tables from the available list of tables

7. Then select all required fields for each table

8. Submit the integration

Here are more reasons to explore Daton for Shopify to Snowflake Integration

Faster Integration of Shopify to Snowflake– Shopify to Snowflake is one of the integrations Daton can handle very fast and seamlessly. By following few steps you can easily move Shopify data to snowflake.

Robust Scheduling Options: allows you to schedule jobs based on their requirements using a simple configuration step.

Low Effort & Zero Maintenance – Daton automatically takes care of all the data replication processes and infrastructure once you sign up for a Daton account and configure the data sources. There is no infrastructure to manage or no code to write.

Data consistency guarantee and an incredibly friendly customer support team ensure you can leave the data engineering to Daton and focus instead of analysis and insights!

Enterprise grade data pipeline at an unbeatable price to help every business become data driven. Get started with a single integration today for just $10 and scale up as your demands increase.

Support for all major cloud data warehouses including Google BigQuery, Snowflake, Amazon Redshift, Oracle Autonomous Data Warehouse, PostgreSQL and more.

Flexible loading options allows to you optimize data loading behavior to maximize storage utilization and easy of querying.

Enterprise grade encryption gives your peace of mind

Support for 100+ data sources – In addition to Shopify, Daton can extract data from a varied range of sources such as Sales and Marketing applications, Databases, Analytics platforms, Payment platforms and much more. Daton will ensure that you have a way to bring any data to Snowflake and generate relevant insights.

For all sources, check our data connectors page.

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Pulling information accurately from Shopify servers in order to connect Shopify to Snowflake, is only one step in defining an information pipeline for custom analysis. Other considerations include how to handle API rate limits, manage API changes, and more. A much more complicated ETL process involving more than 35 Shopify data sources or entities will be required to provide a comprehensive view of the available data. The above procedure can only assist you in batching the import of Shopify data. To load data in real time, you need to set up cron jobs and write additional lines of code. Getting data from Shopify using the REST API can be challenging. Any anomalies can break the code and cause irretrievable data loss if Shopify modifies the API or Snowflake is unavailable for a specific time.

The Snowflake stage permits clients to have a petabyte-scale Information base and boundless process scale with no administration above. Information in Snowflake must be gotten to through SQL question tasks. Snowflake deals with all parts of Information Stockpiling: Association, Construction, Pressure, Metadata, Insights, etc.

In bulk, use the COPY INTO command when it is imported from Shopify. Generally, in JSON design, information records are put away in a nearby document framework or Amazon S3 pails. Then, at that point, a Duplicate INTO order is summoned on the Snowflake occasion, and information is replicated into an information stockroom. Before using the COPY command, the files can be pushed into Snowflake using the PUT command in a staging environment. Another option is to directly upload data to a service like Amazon S3, from which Snowflake can now access any data. Last but not least, Snowflake provides a data loading wizard on the web that allows users to set up and copy data into a data warehouse visually. Just keep in mind that this wizard's capabilities are limited compared to those of the other methods. In contrast to Redshift and other technologies, Snowflake does not require a data schema to be packed with the copied data. The pattern is essential for the inquiry to duplicate each datum into the information distribution center. This makes loading data easier and gives you more options for managing different data types.

As you grow your Shopify Data, you'll need to update your Snowflake Data. This includes new records and updates to older records that have been updated on Shopify for any reason. You should intermittently check Shopify for new information and rehash the interaction already depicted while refreshing your as-of-now accessible details if necessary. UPDATE statements are used to update a row in a Snowflake table that is already in use. An excellent tutorial for managing updates, particularly with primary keys, is available in Snowflake. Identifying and removing duplicate records from your database is another issue you must address. Duplicate records may be added to your database due to errors in your data pipelines or Shopify's inability to distinguish between new and updated forms. Generally, ensuring the data in your database is good is a significant and complex problem.

Warehouse: There are two ways to copy Shopify to Snowflake Warehouse. Build your data pipeline. This process takes time, effort, and experience. There are more chances for mistakes. Data must first be extracted using the Shopify APIs and then correctly connected to the Snowflake data warehouse. Building a data pipeline on its own is a complicated process. Use Daton to connect Shopify and Snowflake. Connect Shopify data to the Snowflake data warehouse using Daton. It is the quickest and most straightforward way to conserve effort and time. Using an eCommerce data pipeline like Daton can reduce the time and effort required to build automated reporting. A few mouse clicks and a few minutes are all it takes to set up Daton's data replication. Experts must compose no code or deal with any foundation, yet they can gain admittance to their Shopify information in a couple of hours. Analysts and developers can configure data replication from Shopify data into Snowflake using UI elements thanks to Daton's straightforward and user-friendly interface.