The Reporting Control Center

September 5, 2021 § Leave a comment

aka Quilt Data Hub or Lightdash 2.0?

Challenge

Can I evangelize
a corporate data platform
by just emailing out reports
with sufficiently smart URLs?

Rationale

I don’t have the power
to pull others onto a new platform.
But I can push useful data to others
in a way that inspires them to participate more directly with the platform

Proposal

Replace friendly Salesforce Reports and powerful NetSuite Saved Searches with a unified interface for viewing, editing, sharing, and managing:

  • versioned reports
  • personalized alerts
  • variant analyses

that are delivered via self-contained emails that also onboard people into greater use of the platform

Definitions

Friendly

  • Browseable
  • Drag and Drop
  • Live previews

Powerful

  • Complex formulas
  • Scaleable notifications
  • Easy joins and relabeling

Motivation

The main value of Quilt to my business
is as a point of leverage
to shift the culture of communication
from “zombie data” in tables
to “smart reports” in a repository

The Coherency Manifesto: Towards Communal Data Platforms

August 21, 2021 § Leave a comment

Version 1.0: Sep 11, 2021 (Interdependence Day)

As a community
who produces, consumes, and manages data
we hold these truths to be self-evident:

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Psycho-Analytic Engineering (Coalesce 2021)

June 6, 2021 § Leave a comment

Using Data to Differentiate Our Selves

Keynote Talk Proposal for Coalesce 2021

Google Slides

Based on “DBT as Organizational Therapy

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DBT as the “Couch” for Organizational Therapy

May 13, 2021 § 1 Comment

Or, “How ELTT is the Key to World Peace”

Draft Submission Script for Coalesce 2021 « Read the rest of this entry »

SyncHouse: MVC for Enterprise SaaS

May 2, 2021 § Leave a comment

A concrete proposal for Imagining a Data Resort as enforcing a Model-View-Controller architecture across multiple Software-as-a-Service applications. The key is replacing transient enterprise data integrations with a persistent “sync house,” and making that the one full-service Source of Truth for data, schemas, and business logic.

  1. Ingest data from Salesforce, NetSuite, etc. (e.g., Stitch/Talend, FiveTran)
  2. Store raw data in a LakeHouse (e.g., Databricks, Delta Lake; or just Redshift)
    1. Aka “ELT vs ETL
  3. Manage schemas via dbt (e.g., dbt Cloud)
  4. View and report on appropriate data (e.g., Mode, Data Studio)
  5. Push updates (reverse ETL) back to source applications (e.g., Celigo, Get Census)
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My First Date with Quilt Data

July 21, 2020 § Leave a comment

I’ve known the good folks at Quilt Data for a long time. A company hackathon gave me a good excuse to actually use them “in anger” for an actual demo. These are my notes on how to configure quilt3 and create my first package (and panda data frame) from a CSV

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