March 2023¶

Data Catalog¶

We have revamped our Data Catalog both from a UI and UX perspective. A new section on the Platform is now available for all our users to navigate the Data Catalog and explore how our data is structured, how it is partitioned, and how it can be queried.

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Upgrade of Jupyter to v.3.4.8¶

We released an upgrade of the Jupyter tool that introduces hundreds of bug fixes and great new features like the ability to debug your code, a visual indicator that a cell has been modified from the last execution, and an improved autocompletion assistant. Learn more about the changes needed to be applied to your code within this new version in our Help Center.

New API domains¶

We released a new API gateway dedicated to the Spectus API (api.spectus.ai, auth.spectus.ai) to simplify access to the AdTech environment (Cuebiq) and the platform environment (Spectus). Learn more here.

Product Enhancements¶

Dataflow Studio improvements

We increased the number of visible runs for a single job from 100 to 2000 to offer a broader view for jobs that run multiple times per day/week and generate a considerable amount of runs.

Moreover, we introduced a visual indication of the next run’s schedule in the Trigger section of a scheduled job under the Schedules panel.

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Expanded data through HLL table and Longitudinal APIs

We have added Spectus proprietary data into the HLL table from January 1st, 2019, with more than 1.5M+ DAU for the entire period. We also expanded our Longitudinal APIs with data since May 1st, 2020.
New traffic analysis tutorial

We have added a new tutorial to our collection of Jupyter notebooks to support our clients in familiarizing with our core data assets. This tutorial illustrates how to enable numerous use cases with a variety of datasets and explains some of the most common traffic analyses enabled by the assets in the vehicle_v1 schema. The new tutorial is available in the Use Cases section of the Tutorials app or in the Usee Cases section of the Jupyter tool.