Articles by Lindsay Murphy on the Secoda blog about data management

4 Ways To Improve Data Quality

Learn how to improve data quality with these actionable steps — ensuring that your organization’s data becomes (and stays) AI-ready.

Data Engineering

10 Leadership Tips for Women in Data

A round-up of some of top favourite themes and key takeaways from women leaders in data

Data Discovery

How to Measure the Value of a Data Catalog

Data discovery enhances data governance, compliance, and operational efficiency, measured by user adoption, cost savings, and compliance, driving business value.

Modern Data Stacks

Data Day Texas 2024 Experience and Talk Recap

A detailed summary with a review of the talks from Data Days Texas 2024: a day packed with insights on the future of data

Modern Data Stacks

Managing costs of the modern data stack at scale

Explore the ease of building a modern data stack, leveraging cloud-based tools for data collection, storage, transformation, and more. Uncover the hidden challenges of scaling, particularly the escalating costs. Learn essential strategies to contain expenses, from proactive monitoring to budget planning.

Data Engineering

DAMA Days Toronto 2023

Discover the highlights of the 2nd Annual DAMA Days Toronto Conference! Explore unique session formats, invaluable insights on data value measurement, data governance, cultural shifts, and cost containment. Uncover expert strategies from industry leaders like Joe Reis, Nicole Janeway Bills, Raj Debnath, EY Park, Etai Mizrahi, and more.

Data Engineering

What is "alert fatigue" in automated data testing?

An overview of a data quality program for a modern data stack and ways to overcome common issues that data teams run into when trying to employ data quality initiatives

Modern Data Stacks

dbt Coalesce 2023 Day 2 & 3 Sessions Recap

A deeper dive into the session content from day 2 & 3 of dbt Coalesce 2023. Learn more here.

Modern Data Stacks

dbt Coalesce 2023 Day 1 Sessions Recap

A deeper dive into the session content from day 1 of dbt Coalesce 2023. Learn more here.

Data Engineering

dbt Coalesce 2023: Experience Recap

A recap of dbt Coalesce 2023 from Lindsay Murphy. Read on to re-live the conference, see what you missed, and maybe even get convinced to attend next year

Metadata

How to harness metadata for infrastructure health

Metadata is the future of effective data management across a modern data stack and is a necessary asset for scaling your data infrastructure. Learn more.

Data Engineering

How to increase representation of women founders and CEOs in data

Only 10% of the CEOs of Fortune 500 companies identify as female. Pipeline problem again?

MDS Fest '23: Day 3 Recap and Recordings

Find the recordings from Day 3 of MDS Fest '23 here

Modern Data Stacks

MDS Fest '23: Day 1 Recap and Recordings

Find the recordings from Day 1 of MDS Fest '23 here

Data Engineering

Your DAG is Headless

Integrating a goals framework (such as OKRs) with the BI and data creation layer is critical to regulate this natural bias for creation and to uncover how data assets align to company goals. Learn how

Modern Data Stacks

Scaling a modern data team in a “postmodern data stack” era

Data teams, and their stakeholders, always seem to want more (and more, and more). We want to move fast, but also build high quality data products, and also do it for an affordable cost. Is this achieveable?

Data Engineering

Implementing Data Contracts with dbt and across the MDS

In this session, Chad Sanderson (Chief operator at Data Quality Camp) and Lindsay Murphy (Corise Instructor and Head of Data at Secoda) discuss the benefits of data contracts and how to implement them with dbt. This talk is for advanced data practitioners looking for ways to manage their dbt projects at scale as well as data leaders looking for actionable strategies to implement data contracts.

Data Engineering

Scaling Data Quality: Harnessing Automated Testing in dbt Projects

In this webinar, dbt experts Grace Peace (TLM, Analytics Engineering at Cityblock Health) Gleb Mezhanskiy (CEO at Datafold), and Lindsay Murphy (Head of Data at Secoda), discuss best practices on how to effectively scale your data testing initiatives as your dbt models grow.

Data Discovery

Lindsay Murphy

4 Ways To Improve Data Quality

10 Leadership Tips for Women in Data

How to Measure the Value of a Data Catalog

Data Day Texas 2024 Experience and Talk Recap

Managing costs of the modern data stack at scale

DAMA Days Toronto 2023

What is "alert fatigue" in automated data testing?

dbt Coalesce 2023 Day 2 & 3 Sessions Recap

dbt Coalesce 2023 Day 1 Sessions Recap

dbt Coalesce 2023: Experience Recap

How to harness metadata for infrastructure health

How to increase representation of women founders and CEOs in data

MDS Fest '23: Day 3 Recap and Recordings

MDS Fest '23: Day 1 Recap and Recordings

Your DAG is Headless

Scaling a modern data team in a “postmodern data stack” era

Implementing Data Contracts with dbt and across the MDS

Scaling Data Quality: Harnessing Automated Testing in dbt Projects

State of Data Enablement Roundtable

The Most Overlooked Skill for Data Professionals

From Cost Center to Revenue Generator: How To Unleash the Potential of Your Data Team and Increase ROI

Current Data Governance Trends & Predictions

How to set new data team members up for success

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