Getting data from Zendesk to Redshift is the right step towards centralizing your organization’s customer interactions and tickets. Analyzing this information can help you gain a deeper understanding of the overall health of your Customer Support, Agent Performance, Customer Satisfaction and more. Eventually, you would be able to unlock deep insights that grow your business.
Methods to move data from Zendesk to Redshift
There are two popular methods to perform Zendesk to Redshift data replication.
Method 1: Use a fully-managed Data Integration Platform like Hevo Data
Hevo is an easy to use Data Integration Platform that can move your data from Zendesk to Redshift in minutes. You can achieve this on a visual interface without writing a single line of code. Since Hevo is fully managed, you would not have to worry about any monitoring and maintenance activities. This will ensure that you stop worrying about data and start focussing on insights.
Method 2: Write custom ETL scripts to move data
You would have to spend engineering resources to write custom scripts to pull the data using Zendesk API, move data to S3 and then to Redshift destination tables. To achieve data consistency and ensure no discrepancies arise, you will have to constantly monitor and invest in maintaining the infrastructure.
Let us deep dive into both these methods.
Method 1: Moving your data from Zendesk to Redshift using Hevo
Using Hevo Data Integration Platform, you can seamlessly replicate data from Zendesk to Redshift with 2 simple steps:
- Configure the data source using Zendesk API token
- Configure the Redshift warehouse where you want to move your Zendesk data
Hevo does all the heavy-weightlifting and will ensure your data is moved reliably to Redshift in real-time.
Method 2: Copying your data from Zendesk to Redshift using custom scripts
Here is a glimpse of the broad steps involved in this:
- Write scripts for some or all of Zendesk’s APIs to extract data. If you are looking to get updated data on a periodic basis, make sure the script can fetch incremental data. For this, you might have to set up cron jobs
- Create tables and columns in Redshift and map Zendesk’s JSON files to this schema. While doing this, you would have to take care of the data type compatibility between Zendesk data and Redshift. Redshift has a much larger list of datatypes than JSON, so you need to make sure you map each JSON data type into one supported by Redshift
- Redshift is not designed for line by line updates or SQL “upsert” operations. It is recommended to use an intermediary such as AWS S3. If you choose to use S3, you will need to
- Create a bucket for your data
- Write an HTTP PUT for your AWS REST API using Curl or Postman
- Once the bucket is in place, you can then send your data to S3
- Then you can use a COPY command to get your data from S3 into Redshift
- In addition to this, you need to make sure that there is proper monitoring to detect any change in Zendesk schema. You would need to modify and update the script if there is any change in the incoming data structure
Challenges and complexities when transferring data from Zendesk to Redshift using Custom Code
Before you write thousands of lines of code to copy your data, you need to familiarize yourself with the downside of this approach.
More often than not, you will need to monitor the Zendesk APIs for changes, check your data tables to make sure all columns are being updated correctly. Additionally, you have to come up with a data validation system to ensure all your data is being transferred accurately.
In an ideal world, all of this is perfectly doable. However, in today’s agile work environment, it usually means expensive engineering resources are scrambling just to stay on top of all the possible things that can go wrong.
Think about the following:
- How will you know if an API has been changed by Zendesk?
- How will you find out when the Redshift is not available for writing?
- Do you have the resources to rewrite or update the code periodically?
- How quickly can you update the schema in Redshift in response to a request for more data?
On the other hand, a ready-to-use platform like Hevo rids you of all these complexities. This will not only provide you with analysis-ready data but will also empower you to focus on uncovering meaningful insights instead of wrangling with Zendesk data.
Advantages of using Hevo
- Hassle-free, code-free ETL. No ETL script maintenance or cron jobs required
- Copy data in real-time in minutes. Simply connect to Zendesk and move your data to RedshiftWith it’s AI-powered, fault-tolerant architecture, Hevo reliably delivers your data from Zendesk to Redshift in real-time. This will ensure that you always have the latest and accurate data at your fingertips
- Automatic schema detection, evolution, and mapping. Hevo detects Zendesk schema it receives data for loading. When the schema changes in Zendesk, Hevo makes changes Redshift, thereby ensuring reliable data replication
- Real-time monitoring, timely alerts, granular activity logs, and version control. You will receive real-time email and Slack notifications about the status of data replication, any detected schema changes and more. Additionally, Hevo’s activity log lets you watch over user activities, data transfer failures, successful executions, and more
- Unparalleled support on Slack and email 24×7
The flexibility you get from building your own custom solution to move data from Zendesk to Redshift comes with a high and ongoing cost in terms of engineering resources.
Hevo, a zero-loss, fault-tolerant, reliable Data Integration Platform provides a hassle-free environment where you can securely move data from any source to any destination. In addition to Zendesk, Hevo can help you move data from 100s of other applications, databases, tools and more to Redshift (www.hevodata.com/intergrations). This will make you the champion who future-proofed the data infrastructure of your organization.
Sign up for a 14-day free trial here and experience a seamless Data Replication experience from Zendesk to Redshift.