Data Observability
Announcements
Data Observability for Developers: Announcing Monte Carlo’s Python SDK
Our Python SDK gives data engineers programmatic access to Monte Carlo to augment our platform’s lineage, cataloging, and monitoring functionalities.
Case Studies
10 Quick Tips for Getting Started with Monte Carlo
Getting started with Monte Carlo and data observability? Here's how to use 10 of our most popular features.
Data Observability
Stop Treating Your Data Engineer Like A Data Catalog
How to build a data certification program so everyone knows what to expect and what data to trust.
Data Observability
The Non-Engineer’s Guide to Bad Data
According to a recent study by HFS, 75 percent of executives don’t trust their data. Here’s why and what data-reliant teams can do about it.
Announcements
Monte Carlo Announces dbt Core Integration to Help Companies Ship Reliable Data Faster
When it comes to achieving reliable data, Monte Carlo, the leading data observability platform and dbt, the data build tool, are better together. Here's why.
Case Studies
Data Observability: How Clearcover Increased Quality Coverage for ELT by 70 Percent
Learn how the data engineering team at Clearcover increased data quality coverage across their stack by 70 percent with Monte Carlo.
Announcements
Reflections on tech, trust, and data adoption
A few quick thoughts on why trust, and not technology, is stopping today's leader's from driving adoption and impact with data.
Announcements
Monte Carlo Named to First-Ever Intelligent Apps Top 40 List
Monte Carlo was recognized as one of the first-ever companies named to the Intelligent Applications 40 list.
Data Observability
IMPACT 2021: The Data Observability Summit Videos Are Now Available On Demand
Missed IMPACT? Have no fear! Full recordings of our keynotes, panels, and fireside chats with Bob Muglia, DJ Patil, Zhamak Dehghani, and other data leaders are now available on demand.
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Data Platforms
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 the top challenges and best practices.
Data Observability
Data Observability: How to Build Your Own Data Anomaly Detectors Using SQL
How to use metadata to understand the root cause of data anomalies and take your data quality testing to the next level.
Data Observability
Demystifying Data Observability
3 practical examples on how to get started with data observability
Case Studies
How Checkout.com Achieves Data Reliability at Scale with Monte Carlo
Learn how Checkout.com gained visibility into data across domains, scaled data quality checks, and achieved reliability at scale.
Case Studies
How Swimply Built Its Hyper Growth Data Stack with Snowflake, Fivetran, and Monte Carlo
Learn how Swimply, the two-sided experiences marketplace, delivers reliable, trustworthy data with Monte Carlo, Snowflake, and Fivetran.
Case Studies
How The Farmer’s Dog Achieves Self-Serve Data Observability with Monte Carlo
How the data team at The Farmer's Dog, a fresh dog food company, achieves reliable data pipelines with automated, end-to-end data observability.