Open in app

Sign In

Write

Sign In

Barr Moses
Barr Moses

14.4K Followers

Home

About

Published in

Towards Data Science

·Pinned

Your Data’s (Finally) In The Cloud. Now, Stop Acting So On-Prem

The modern data stacks allow you to do things differently, not just at a larger scale. Take advantage of it. — Imagine you’ve been building houses with a hammer and nails for most of your career, and I gave you a nail gun. …

Data Engineering

10 min read

Your Data’s (Finally) In The Cloud. Now, Stop Acting So On-Prem
Your Data’s (Finally) In The Cloud. Now, Stop Acting So On-Prem
Data Engineering

10 min read


Published in

Towards Data Science

·Aug 8

Pioneering Data Observability: Data, Code, Infrastructure, & AI

Outlining the past, present, and future of architecting reliable data systems. When we launched the data observability category in 2019, the term was something I could barely pronounce. Four years later, the category has squarely established itself as a core layer of the modern data stack. Data Observability is a…

Data

8 min read

Pioneering Data Observability:Data, Code, Infrastructure, & AI
Pioneering Data Observability:Data, Code, Infrastructure, & AI
Data

8 min read


Published in

Towards Data Science

·Jul 21

How to Build a 5-Layer Data Stack

Spinning up a data platform doesn’t have to be complicated. Here are the 5 must-have layers to drive data product adoption at scale. — Like bean dip and ogres, layers are the building blocks of the modern data stack. Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline. Unlike ogres, however, the cloud data platform isn’t…

Data Engineering

10 min read

How to Build a 5-Layer Data Stack
How to Build a 5-Layer Data Stack
Data Engineering

10 min read


Jun 20

All I Want To Know Is What’s Different — But Also Why and Can You Fix It ASAP?

If you want to build data trust, you can’t just gut-check the final output. You need to monitor data as it is ingested and flows across your data pipeline. Here’s why. I link to Benn Stancil in my posts more than any other data thought leader. I might not always…

Data Engineering

9 min read

All I Want To Know Is What’s Different — But Also Why and Can You Fix It ASAP?
All I Want To Know Is What’s Different — But Also Why and Can You Fix It ASAP?
Data Engineering

9 min read


Published in

Towards Data Science

·Jun 2

Are You a Data Ticket Taker or Decision Maker?

The characteristics and value of reactive vs. proactive data teams — Fundamentally, there are two different types of data teams in this world. There are those who are reactive to the wants of the organization, and then there are those who proactively lead the organization towards its needs. The first is helpful, but a cost center. The second is a value…

Data Engineering

9 min read

Data Ticket Takers vs. Decision Makers
Data Ticket Takers vs. Decision Makers
Data Engineering

9 min read


May 25

61 Data Observability Use Cases From REAL Data Teams

I wanted to share this article we put together that illustrates how real data teams are benefiting from data observability. Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. In…

Data Observability

46 min read

61 Data Observability Use Cases From REAL Data Teams
61 Data Observability Use Cases From REAL Data Teams
Data Observability

46 min read


Published in

Towards Data Science

·Apr 17

The Next Big Crisis for Data Teams

Data teams are more important than ever before — but they need to get closer to the business. Here’s how we can right the ship. — Over the past decade, data teams have been simultaneously underwater and riding a wave. We’ve been building modern data stacks, migrating to Snowflake like our lives depended on it, investing in headless BI, and growing our teams faster than you can say reverse ETL. Yet, much of the time we…

Data Science

10 min read

The Next Big Crisis for Data Teams
The Next Big Crisis for Data Teams
Data Science

10 min read


Published in

Towards Data Science

·Apr 3

Zero-ETL, ChatGPT, And The Future of Data Engineering

The post-modern data stack is coming. Are we ready? — If you don’t like change, data engineering is not for you. Little in this space has escaped reinvention. The most prominent, recent examples are Snowflake and Databricks disrupting the concept of the database and ushering in the modern data stack era. As part of this movement, Fivetran and dbt fundamentally…

Data Engineering

9 min read

Zero-ETL, ChatGPT, And The Future of Data Engineering
Zero-ETL, ChatGPT, And The Future of Data Engineering
Data Engineering

9 min read


Published in

Towards Data Science

·Feb 10

6 Steps to Making Data Reliability a Habit

Some organizations approach data quality like a crash diet. Instead, try these 6 steps for sustainable data quality at scale. — I like to think of operationalizing data reliability within the context of physical fitness. You can get in shape with hard work, but staying in shape requires good habits. And above all else it’s a mindset and a lifestyle. You also have to sweat. At least a little bit. No…

Data Quality

10 min read

6 Steps to Making Data Reliability a Habit
6 Steps to Making Data Reliability a Habit
Data Quality

10 min read


Published in

Towards Data Science

·Dec 22, 2022

6 Reasons Why Companies Fail at Data Governance

And how to avoid falling into the same traps — Everywhere we go in the cloud data space today, we’re hearing one message loud and clear: “you should be thinking about data governance”. It’s a sentiment that we wholeheartedly endorse, but we like to take it a little bit further — you should be thinking about data governance differently. In…

Data Governance

8 min read

6 Reasons Why Companies Fail at Data Governance
6 Reasons Why Companies Fail at Data Governance
Data Governance

8 min read

Barr Moses

Barr Moses

14.4K Followers

Co-Founder and CEO, Monte Carlo (www.montecarlodata.com). @BM_DataDowntime #datadowntime

Following
  • ODSC - Open Data Science

    ODSC - Open Data Science

  • Nicole Lillian Mark

    Nicole Lillian Mark

  • Biased Riot

    Biased Riot

  • Dennis Layton

    Dennis Layton

  • Cassie Kozyrkov

    Cassie Kozyrkov

See all (227)

Help

Status

Writers

Blog

Careers

Privacy

Terms

About

Text to speech

Teams