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Monte Carlo’s Series D and the Future of Data Observability
When it comes to building a category, it’s all about your customers. Here's our vision for the future of reliable…
Monte Carlo Raises $135M Series D to Accelerate the Rapid Growth of the Data Observability Category
Monte Carlo's latest round signals their commitment to bringing reliable data to companies everywhere.
Introducing the Next Class of Data Reliability Pioneers
A new wave of companies are adopting end-to-end data observability. Here are their stories. …
Data Stewards Have The Worst Seat At The Table
Data stewards have an impossible job. Here’s why and what we can do to empower them.
Data Lineage is Broken – Here Are 5 Ways to Fix It
Data lineage is a must-have feature of the modern data stack, yet we're struggling to derive value from it. Here's…
Tableau Field-level Lineage: A Data Analyst’s Dream Come True
We have extended coverage all the way to Tableau workbooks to better understand field-level relationships across the warehouse and BI…
Monte Carlo Named One of the Best Places to Work in the Bay Area for 2022
Monte Carlo was named the 6th Best Place to Work in the Bay Area for small businesses by Silicon Valley…
3 Simple Steps For Snowflake Cost Optimization Without Getting Too Crazy
Snowflake cost optimization efforts need to be right sized. Read how to get the most savings without investing too much time…
Is DataOps the Future Of the Modern Data Stack?
As data needs scale, teams need to start prioritizing reliability. Here’s why DataOps might be the answer—and how you can…
4 Native Snowflake Data Quality Features You Should Know
The bad news? Data breaks. The good news? These 4 Snowflake data quality features can help!…
Don’t Make a Schema Change Before Answering These Five Questions
Not all schema changes are equal. Here is what to ask yourself before pushing your code off to production.
Is The Modern Data Warehouse Broken?
The modern data warehouse architecture creates problems across many layers. Consider instead an immutable data warehouse for scale and usability.
5 Ways to Improve Data Quality with the New Monte Carlo Data Quality Trends Dashboard
The new Monte Carlo Dashboard incorporates data and visualization to provide actionable insights to users across data teams.
Vanquish Toil: 9 Data Engineering Processes Ripe For Automation
Data engineers must automate to survive. Especially these 9 data engineering processes.
Circuit Breakers: A New Way to Automatically Stop Broken Data Pipelines and Avoid Backfilling Costs
Monte Carlo launches Circuit Breakers to help data teams automatically stop broken data pipelines and avoid costly backfills.
Monte Carlo Announces Release of Observability Platform for Locally Sourced, Small-Batch Data
If you are part of the new wave of data engineers who are nostalgic for data platforms the way they…
You Have More Data Quality Issues Than You Think
On average, companies experience one data issue for every 15 tables in their warehouse. Here are 8 reasons why and…
The Cost of Bad Data Has Gone Up. Here Are 8 Reasons Why.
The rising cost of bad data and poor data quality has nothing to do with inflation and everything to do…
Data Observability Doesn’t Just Create Savings – It Drives Revenue, Too
If you think the benefits of data observability stop at cost cutting or avoiding bad outcomes, you’re only looking at…
What Good Data Product Managers Do – And Why You Probably Need One
Unpacking the newest data role on the modern data team: the data product manager.
Treat Your Data Like An Engineering Problem: An Interview with Snowflake Director of Product Management Chris Child
Snowflake Director of Product Management Chris Child talks about the role of data observability solutions in the modern data stack…
Monte Carlo Named To Enterprise Tech 30 For Second Consecutive Year
Sponsored by Wing Ventures and Nasdaq, the prestigious award honors the best enterprise technology startups.
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.
Monte Carlo Data Observability Insights Now Available in the Snowflake Data Marketplace
Easily access data quality and usage metrics directly from your Snowflake environment with Monte Carlo.
eBook: The Modern Data Leader’s Playbook
Learn how top data leaders scale their teams, tech, and processes to meet the needs of the modern business.
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,…
Announcing Monte Carlo’s End-to-End Field-Level Lineage to Help Teams Achieve Data Reliability
Monte Carlo’s field-level lineage functionality is now offered as part of our automated, end-to-end data observability platform. …
Unicorns, data mesh, category creation, and more reasons to attend IMPACT: The Data Observability Summit
Five reasons why you should attend IMPACT, the world's first Data Observability summit on Wednesday, November 3, 2021.
Announcing O’Reilly’s Data Quality Fundamentals
Available today, Data Quality Fundamental's press release chapters dive into how some of the best teams are architecting for data…
4 Reasons Why I Joined Monte Carlo’s Data Science Team
Considering joining a data startup? Learn how and why Ryan Kearns turned his Monte Carlo internship into a job.
Data Observability: Five Quick Ways to Improve the Reliability of Your Data
Five common data observability use cases and how they can help your team improve data quality at scale and trust…
Bob Muglia, former Snowflake CEO, to Speak at IMPACT, the World’s First Data Observability Summit
Muglia will join the first Chief Data Scientist of the U.S., the founder of the data mesh, and the creator…
Solving Data’s “Last Mile” Problem with Reverse ETL and Data Observability
How Reverse ETL and Data Observability can help teams go the extra mile when it comes to trusting your data…
What is a Data Incident Commander?
How data teams can build more resilient incident workflows with DevOps best practices.
How Vimeo Achieved End-to-End Visibility in Snowflake and Looker with Monte Carlo
Learn why the the data engineering team at Vimeo chose to partner with Monte Carlo for data observability.
Monte Carlo Raises Series C, Brings Funding to $101M to Help Companies Trust Their Data
Monte Carlo’s Series C highlights the rapid growth of the Data Observability category, our industry-defining customer adoption, and global expansion.
Celebrating the New Pioneers of Data Reliability
How today’s data leaders are prioritizing data trust and reliability at their companies.
The Weekly ETL: How Do You “Thin Slice” a Data Pipeline?
What is your name? What is your email address?…
Getting Started: Automatic Detection and Alerting for Data Incidents with Monte Carlo
Here’s how data teams get up and running with Monte Carlo to automatically detect and alert on data incidents with…
How The Farmer’s Dog Achieved Rapid ML-Based Anomaly Detection with Monte Carlo
Learn how The Farmer's Dog achieved fully automated anomaly detection out-of-the-box with Monte Carlo.
The Weekly ETL: Will Data Engineering Ever Be Sexy like Data Science?
Data engineers are the backbone of the data team - so why can't they get the respect they deserve?…
Data Quality Solutions: Build or Buy? 4 Things To Know
Investing in a data quality solution? Here's everything you need to know.
Announcing Monte Carlo’s Incident IQ, a Root Cause Analysis Workflow for Data Teams
How to get started with Incident IQ, Monte Carlo's all-in-one solution for troubleshooting and preventing broken data pipelines.
Monte Carlo Launches Data Incident Management Feature, Incident IQ, to Help Organizations Achieve Data Trust
With Incident IQ, data teams using Monte Carlo’s Data Observability Platform can now easily and collaboratively identify, alert on, and…
The Weekly ETL: How Do You Document Your Data Assets?
Lior Gavish, Monte Carlo's co-founder and CTO, answers a trending question on Reddit about some of the data industry's hottest…
Monte Carlo announces integration with Snowflake’s Snowpark developer platform to deliver more secure data monitoring and observability
With Snowpark’s Java UDF support, Monte Carlo makes it faster and more secure for organizations to achieve end-to-end data trust…
A Tale of Baseball and Bad Data: Why I Joined Monte Carlo
What is your name? What is your email address?…
5 Non-Obvious Ways to Make Data Engineers Love Working For You
And how to become a better data leader in the process.
Monte Carlo Expands Leadership Team from Snowflake, Segment to Support Hypergrowth of Data Observability Category
Monte Carlo hires Snowflake, Segment go-to-market leaders to help companies accelerate the adoption of trustworthy and reliable data.
Monte Carlo and PagerDuty Integration Brings DevOps to Data Pipelines with End-to-End Data Observability
Monte Carlo's PagerDuty integration helps data engineering teams achieve greater visibility into the end-to-end health of their data pipelines.
Delivering More Reliable Data Pipelines with PagerDuty and Monte Carlo
What is your name? What is your email address?…
Scaling Data Trust: How Auto Trader Migrated to a Decentralized Data Platform with Monte Carlo
With Data Observability, Auto Trader scaled data trust and ownership across their self-service data platform.
How to Meet Your Data Reliability OKRs with Monte Carlo’s Service-Level Indicators (SLIs)
Set data quality OKRs and achieve greater data trust with Monte Carlo's new SLIs.
Monte Carlo Brings Data Observability to Data Lakes with New Databricks Integration
Monte Carlo's new Databricks integration allows data teams to achieve end-to-end observability and automated lineage across their data lake environments.
Blinkist Chooses Monte Carlo to Deliver More Reliable Data Pipelines Through Data Observability
Blinkist saves 120 hours of engineering time per week with Monte Carlo.
How AutoTrader built a more reliable data platform with Monte Carlo
Here's how Ed Kent, Principal Developer at Auto Trader UK, is scaling his team's data platform with reliability and trust…
How to Extract Snowflake Data Observability Metrics Using SQL in 5 Steps
Monitor the health of your Snowflake data pipelines with these 7 queries to extract Snowflake data observability metrics.
Monte Carlo Named a Best Workplace for 2021 By Inc. Magazine
The Data Observability leader was also recognized as a winner in the On the Rise category of emerging companies…
How to Conduct Incident Management for Data Teams
4 steps to identify, root cause, and fix data quality issues at scale…
Delivering End-to-End Data Trust with Snowflake and Monte Carlo
With Monte Carlo and Snowflake’s strategic partnership, teams can finally trust their data through end-to-end Data Observability.
Monte Carlo and Snowflake partner to help organizations achieve more trustworthy data
Monte Carlo’s Data Observability platform gives Snowflake customers added confidence that their data is reliable and trustworthy.
How Resident Reduced Data Issues by 90% with Monte Carlo
With Data Observability, the Data Engineering team at Resident reduced their data downtime by 90% percent.
The Data Engineer’s Guide to Root Cause Analysis
Introducing a five-step approach used by some of the best data engineering teams to root cause your data quality issues.
Building a Better Data Culture: An Interview with ThoughtSpot’s Cindi Howson
We sat down with Cindi Howson, Chief Data Strategy Officer at ThoughtSpot about common challenges organizations face on the road…
5 Reasons Data Discovery Tools Are Best For Data Lakes
How data catalogs are failing us and why data discovery can help.
5 Things Every Data Engineer Needs to Know About Data Observability
With data observability, data engineers can think more strategically about tackling the "good pipelines, bad data" problem.
[VIDEO] How Resident Drives Data Observability with Monte Carlo
When it comes to trusting your data, having end-to-end Data Observability across your stack is critical. Daniel Rimon, Head of…
Data Software-as-a-Service: The Case for a Hybrid Deployment Architecture
With the combined benefits of on-prem security and SaaS convenience, data and ML vendors with a hybrid deployment architecture give…
You’re Not Realizing the Full Value of Your Company’s Data
How to overcome five non-obvious roadblocks on your journey to data analytics excellence.
Data Observability in Practice: Data Monitoring at Scale with SQL and Machine Learning
How to make your own data observability monitors from scratch and leverage basic principles of machine learning to apply them…
Monte Carlo Launches Chief Data Officer Advisory Board
Monte Carlo's CDO Advisory Board will help us better serve customers on their journeys to data trust and pioneer the…
Why Production Machine Learning Fails — And How To Fix It
Discussing applications of ML in theory is much different than actually applying ML models at scale in production. Here's the…
Monte Carlo is SOC 2 Certified
Monte Carlo’s SOC 2-certification takes our commitment to security and privacy one step further for customers.
The New Rules of Data Quality
Unit testing your data only gets you so far. Here’s a better way to manage data quality at scale.
Monte Carlo Recognized as a 2021 Enterprise Tech 30 Company
Monte Carlo was named a leader in data by the 2021 Enterprise Tech 30 list. Here's why.
Data Observability: How Blinkist Prevents Broken Data Pipelines at Scale with Monte Carlo
Here’s how the data engineering team at Blinkist, a book-summarizing subscription service, saves 120 hours per week and increases revenue…
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…
Monte Carlo Raises $25M Series B to Help Companies Achieve More Reliable Data
Monte Carlo announces $25M Series B funding round to help companies achieve more reliable data through data observability.
Why You Need to Set SLAs for Your Data Pipelines
How to set expectations around data quality and reliability for your company…
[VIDEO] How Blinkist Increases Marketing ROI with Data Observability and Monte Carlo
For Blinkist, a global book insights subscription service, broken data pipelines led to unreliable marketing spend, costly data fire drills,…
How To Convert 100% of Your Proofs of Concept into Happy Customers
How Monte Carlo's approach to "treating prospects like your best customers" leads to successful PoCs and better happier users.
How to Solve the “You’re Using THAT Table?!” Problem
How to keep track of your data warehouse's most critical table and reports…
Monte Carlo Raises $16M to Build the World’s First Data Reliability Platform
With customers such as Compass, Eventbrite, and Mindbody, Monte Carlo is spearheading the Data Reliability category and delivering end-to-end Data…
Data Observability Tools: Data Engineering’s Next Frontier
To keep pace with data’s clock speed of innovation, data engineers need to invest in data observability, the next frontier…