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Did you know Aperture Data Studio supports Markdown? This lesser-known feature can transform how you present information, making your dashboards, workflows, and catalog entries more engaging and easier to read. Markdown enables a wide range of formatting options, including: Text formatting (headers, subheaders, bold,…
It's time again for our popular Data Management User Group to get customers and users of Aperture Data Studio together to learn about new developments and plans for the product and give direct feedback to the product team. Get exclusive insights into the latest plans, hear how leading organisations are tackling real world…
Snowflake is a popular cloud-based data warehouse that is used by many organizations to store, process, and analyze large volumes of diverse data. Connecting Snowflake to Aperture Data Studio Aperture Data Studio can import data and metadata from file stores, CRMs and databases, including Snowflake. To connect to Snowflake…
In this series, we will explore the new set of Higher Order Functions (introduced in Aperture Data Studio v3.2) that bring more flexibility and control to how you work with lists and records in Aperture Data Studio. These functions allow you to pass another function as a parameter, making it possible to filter, match, and…
In this post, we will take a closer look at All match, one of the higher order functions now available in Aperture Data studio v3.2. What it does: All match checks whether every item in a list satisfies a condition defined by a Boolean-returning function. Where it works: Comma-separated lists JSON lists Business Use Cases…
What it does: Checks whether at least one item in a list satisfies a condition defined by a Boolean-returning function. Where it works: Comma-separated list JSON list Business Use Cases & Examples: Comma-separated list Flag if any items in the list are a UK postcode: JSON list Identify if the shopping cart contains a…
What it does: Returns a new list containing only the items that meet the condition defined by the operator function. Where it works: Comma-separated list JSON list Business Use Cases & Examples: Comma-separated list: Filtering emails with valid format from a list JSON List: Extract customers that matches a certain interest…
If you’re working with structured JSON data, Map path is your go-to Higher Order Function for applying transformations to specific fields. What it does: MapPath uses a JSONPath expression to locate fields in a JSON document and applies a function to each matched item. Where it works: JSON list JSON record Business Use…
What it does: Applies a transformation function to each item in the list and returns a new list with the transformed values. Where it works: Comma-separated list JSON list Business Use Case & Example: Adding new prefix for employee ids before loading into a master database: This is perfect for standardizing formats,…
Aperture Data Studio has functionality that uses several different machine learning and artificial intelligence techniques, including clustering, cosine similarity, deep learning, and more recently GenAI. Gen AI Actions [in v3.1] When exploring data in the grid you are able to describe what you want to calculate or how…
Hi, I have a report created in a workflow. I have marked to expose it to data consumer roles. How to enable it so they can see it? I cant add it as a widget on a Dashboard page so far. Thank you
Hi All, I’d like to ask whether Aperture is capable of directly connecting to OpenText Content Server, without requiring any middleware or intermediate systems (such as Talend or external scripts). Is there a native connector or export integration available for pushing data directly from Aperture into Content Server?…
