How to Combine Advanced and Custom Filters in Looker Studio

By Kristi Smith Note: Looker, now part of Google Cloud’s Looker Studio, remains a powerful BI tool for creating dashboards. While this guide focuses on combining filters in Looker, the steps also apply to Looker Studio environments. Matches Advanced Filters I’m constantly impressed with the advanced filter functionality in Looker. It’s so convenient…and fairly intuitive,

Master dbt Testing: How to Avoid False Negatives when Testing Between Project Layers

We have a small project with four layers:

  1. Raw — incoming raw data
  2. Validation —Relationship and data validations. Transformations into facts and dims
  3. Reporting — joining facts and dims to meet presentation requirements
  4. Business Application — presentation layer. Views, with security where needed, of the reporting objects When we added relationship tests between project

Managing Snowflake Data Warehouse Compute in Looker

In a recent blog titled Managing Snowflake Data Warehouse Compute in OBIEE, I explained how to assign application users and roles to use designated compute clusters (warehouses) in Snowflake. The idea of specifying a Snowflake warehouse on a per user (or groups of users) basis is not specific to OBIEE and can be achieved with

Managing Snowflake Data Warehouse Compute in OBIEE

How to Dynamically Set a Snowflake Virtual Warehouse Congratulations! You just configured Oracle Business Intelligence Enterprise Edition (OBIEE) to connect to your freshly loaded Snowflake Data Warehouse instance and you’re feeling pretty good. Maybe your OBIEE dashboards are finally meeting SLAs, you’re not sitting with a DBA trying to tune SQL statements, your data is finally all in

OAC Extending Dimensional Attributes by Blending Data

Blending Data in Oracle Analytics Cloud allows us to share additional dimensions or measures from one data set with those from another, without having to do complicated metadata modeling using RPD functionality. This is a great feature for user-sourced categorizations and can empower users to utilize Data Visualization instead of forcing them to export into

Using Oracle’s Baseline Validation Tool with OBIEE — Part 4

This post is part 4 of 4 about using the Baseline Validation Tool (BVT) with Oracle Business Intelligence (OBIEE). The previous posts are: Post 1: An intro to BVT Post 2: Setting up BVT Post 3: Running the Tests Interpreting the BVT Results As described in my third post in this series, here’s how to

Using Oracle’s Baseline Validation Tool with OBIEE — Part 3

This post is part 3 of 4 about using the Baseline Validation Tool (BVT) with Oracle Business Intelligence (OBIEE). Post 1 with an intro to BVT, can be found here. Post 2 about setting up BVT to run, can be found here. Running the Test Against Both Environments We need to execute BVT twice with the same

Hunters Eat Better Than Gatherers

My last few blog posts have discussed how data failure happens, and how we can change failure into success (with a little economic thinking). Continuing with that train of thought, in this post I’ll be discussing how we can better implement analytic solutions by challenging the convention of requirements gathering. Don’t “Gather Requirements”. Hunt for