The Data Downtime Blog
5 Steps To A Successful Data Warehouse Migration
Real lessons from recent data warehouse migrations like Qubole to AWS EMR andMySQL to AWS Redshift.
12 Data Quality Metrics That ACTUALLY Matter
How to improve your Data Quality Metrics and why it matters to your business.
How ELT Schedules Can Improve Root Cause Analysis For Data Engineers
Why Bayesian networks hold more promise segmentation analysis.
Data Observability
Stale Data Explained: Why It Kills Data-Driven Organizations
Dashboards that don’t refresh, machine learning applications that don’t learn, and other consequences of stale data.
How Best Egg Implemented a Reliable Data Mesh with Data Observability
See how the fast growing fintech marketplace has matured their data stack and driven increased levels of data quality, trust,…
How BlaBlaCar Built a Practical Data Mesh to Support Self-Service Analytics at Scale
See how BlaBlaCar reduced incidents and time to insights by enabling self service analytics and implementing data mesh.
Data Platforms
Ready or Not. The Post Modern Data Stack Is Coming.
Zero-ETL, AI, One Big Table, and other disruptors could radically change data engineering to create a post modern data stack.
Data Migration Risks and the Checklist You Need to Avoid Them
Failure to plan properly can easily derail a data migration project. Learn how to avoid data loss, schema issues, and…
Data Ingestion: 7 Challenges and 4 Best Practices
Data ingestion involves collecting data from source systems and moving it to a data warehouse or lake. Read on for…
Data Culture
5 Proven Best Practices for Measuring Data Team ROI
Struggling to quantify the impact of your data team? You're not alone. Here are 5 strategies from the experts.
Data Quality Analyst: Everything You Need To Know
We analyzed 55 job postings to determine the skills and job requirements for data quality analysts…
How Data Enablement Drives Sustainable Value at Upside
Upside leverages a model that emphasizes upfront investments in data enablement to create self-sustaining “data gardens.” Here’s how.
Data Reliability
Data Integrity vs. Data Validity: Key Differences with a Zoo Analogy
Imagine a zoo employee entering data on the heights of different animals and they accidentally swap the data for giraffes…
5 Helpful Data Quality Frameworks You Need to Know
A data quality framework is the methodology an organization puts in place to assess and improve its level of data…
11 Ways To Stop Data Anomalies Dead In Their Tracks
11 proactive data quality practices for preventing data anomalies and stopping them before they occur.
Case Studies
5 Proven Best Practices for Measuring Data Team ROI
Struggling to quantify the impact of your data team? You're not alone. Here are 5 strategies from the experts.
How Mercari Operationalizes Data Reliability Engineering at Scale
6 best practices from Mercari’s data reliability engineering team for ensuring high quality data..
How Vox Media Built a Post-Merger Data Stack with BigQuery, dbt, and Monte Carlo
Learn how the data engineering team at Vox Media built a reliable, scalable data platform with BigQuery, dbt, and Monte…
Announcements
Monte Carlo Achieves Google Cloud Ready – BigQuery Designation
Monte Carlo becomes the first data observability platform to achieve the Google Cloud Ready - BigQuery designation.
How Monte Carlo’s New Jira Integration Streamlines Incident Management Workflows
Monte Carlo's new Jira integration helps teams elevate existing data quality workflows to make incident reporting more actionable.
Monte Carlo Recognized as Winter 2023 Data Observability Leader by G2
Monte Carlo was recognized as a Winter 2023 Data Observability leader by G2, a leading peer-to-peer review site.
