For example, if a customer has 10 million records (tickets updates), we join them during transformation with other tables, aggregate the data, and present this aggregation in just a thousand records.Our legacy ETL process used Scala and SQL queries that ran data transformation on the PostgreSQL cluster. I reported this in July 2019 and still cannot use Explore to export results. Legacy Zendesk Chat + Support accounts are defined as a Chat account originally created on zopim.com and integrated with Zendesk Support. The Explore ETL process, which runs on Amazon EMR, consumes the data.Log stream originates as a database binlog that is streamed to Amazon Kinesis using Zendesk Explore runs ETL for thousands of customers on a per-customer basis (for each customer, some ETL logic is executed). We use query performance tracing and look at the performance (customer wait time) of the core queries using internal administration tools. With Zendesk Explore, you get instant access to the customer analytics that matter—and the deeper understanding of your customers and business that comes with it. Rather sad....Can someone please clarify the "Resolution articles" definition. The Custom Objects API lets you define a new object type in Zendesk, then create objects from the new object type. See below for the full list of updates. Zendesk Sunshine joins two other new products launched today: Zendesk Sell and Zendesk Explore. With Zendesk Explore, you get instant access to the customer analytics that matter—and the deeper understanding… Article Break free with Zendesk Sunshine . With Zendesk Explore, you get instant access to the customer analytics that matterâand the deeper understanding of your customers and business that comes with it.Customer support can happen anywhereâon email, chat, phone, or your social channels. By popular demand, we’ve made visual dataset schemas available so you can understand datasets and the relationships of attributes at a glance.
We focused on Within a year, we could build a full ETL pipeline using Aurora PostgreSQL for our customers up to a certain size. A visualization layer sits on top of this datastore, which provides Zendesk customers with a user interface to access the data for analysis. Explore recipe: Analyzing the last 100 Answer Bot tickets; Explore recipe: Identify where chats originate with a table; Explore recipe: Time over time percentage change for a custom dropdown ticket field; Explore recipe: Count of tickets solved by linked articles by month; Explore recipe: Count of tickets for a custom ticket field value This will allow you to ensure that everything continues to work as expected and avoid any surprises when we switch over. At Zendesk, we are committed to meeting the highest standards of information security, Designed for salespeople, Sell enhances productivity, processes, and pipeline visibility for sales teams, all with the same ease of use you expect from Zendesk. Have an active Explore Professional or Legacy subscription Are willing to meet with our team to provide feedback The EAP will enable your editors to create public or password-protected links to any of your live dashboards and share them with anyone, including people that don’t have access to your Zendesk … We have closely analysed the requirements of the GDPR, and worked to develop functionality to