Data Platforms
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 Fabric: The Future of Data Architecture
Is a data fabric architecture right for you? Learn why some of today's best teams are leveraging this approach.
Data Warehousing Guide: Fundamentals & Key Concepts
Data warehouses centralize all data within a company's data ecosystem and enable downstream consumers to drive analytical insights with it.
Open Source Business Intelligence Tools
Typically, an open-source BI tool is a limited version of another commercial product, or there may be additional, complementary tools…
Data Warehouse Migration Best Practices
A data warehouse migration is one of the most complex and impactful projects in a data engineer’s career. How you…
When to Build vs. Buy Your Data Warehouse (5 Key Factors)
There's no one-size fits all answer to building or buying your data warehouse, lake, or lakehouse. But answering a few…
Implementing Data Contracts in the Data Warehouse
Getting started with data contracts? Here's how to implement data contracts in your data warehouse across your critical production tables.
Data Fabric vs. Data Mesh: Everything You Need to Know
Building a data fabric? Here's everything you need to know about this emerging architecture taking the data world by storm.
Data Mesh vs Data Lake: Pros, Cons, & How to Decide
Just because the data mesh is innovative doesn’t make it right for every organization. So, how do you know if…
The Build vs. Buy Guide for the Modern Data Stack
Building the data stack of your dreams? Nishith Agarwal, Head of Data at Lyra Health, discusses some initial considerations and…
From Concept to Reality: Migrating to Data Mesh at BairesDev with Databricks and Monte Carlo
Migrating to data mesh? Learn how BairesDev, a leading Brazilian software development company, got started on this epic data journey.
Top Data Catalog Tools in 2023
Managing a data catalog manually is error-prone and time-consuming. These 13 popular tools can help your team maintain consistent data…
The Future of Business Intelligence
As big data gets bigger, the pressure is on for modern business intelligence practices to keep pace. Is your company…
How the GitLab Data Team Builds a Culture of Radical Transparency
How does GitLab build a culture of radical transparency? It starts - and ends - with reliable data.
How To Implement Data Mesh: Top Tips From 4 Data Leaders
Four data leaders from leading organizations give their practical advice on how to implement data mesh.
The Slow, Agonizing Death of the Customer Data Platform
Long live the composable customer data platform. Or, why marketing and data teams should be friends.
4 Data Mesh Principles To Get One Step Closer To Data Nirvana
There is no one single recipe for building a data mesh. Instead, there are core principles that guide you. Here…
Where the Data Silos Are
You’ve heard of shadow IT, but what about shadow data? Read on to see where the data silos are and…
5 Steps To A Successful Data Warehouse Migration
Real lessons from recent data warehouse migrations like Qubole to AWS EMR andMySQL to AWS Redshift.
The Fight for Controlled Freedom of the Data Warehouse
The data gatekeeper is dead, long live the…oh no what have we done?…
Organizing Talent: Return of the Data Center of Excellence
More organizations are leveraging a data center of excellence and central data platform to mitigate the risks inherent with the…
Batch Processing vs. Stream Processing 101
"You can have your data now, or you can have it later." The distinction isn't as simple as that. There's…
4 Snowflake Data Replication Best Practices That Will Save You Time and Money
In the age of cloud computing, data is moved from production environments like AWS RDS,…
What is a Data Microservice Architecture?
A data microservice architecture leverages small but powerful blocks within the data engineering ecosystem that orchestrate the movement and transformation…
5 Predictions for the Future of the Data Platform
Maxime Beauchemin, the godfather of data engineering, shares his predictions for the future of the modern data stack.
What is Data Discovery: Definitions & Overview
Data discovery is about surfacing relevant context and metadata across data sets so they can be easily found and effectively…
How We’re Implementing a Data Mesh at Sanne Group
Sanne Group's Head of Engineering shares his data mesh implementation plan and how they plan to adopt its four key…
Using the Airflow ShortCircuitOperator to Stop Bad Data From Reaching ETL Pipelines
See how to leverage the Airflow ShortCircuitOperator to create data circuit breakers to prevent bad data from reaching your data…
Data Lakes vs. Data Warehouses: The Truth Revealed
Data warehouse? Data lake? Data lakehouse? All of the above? Here’s what you need to know to make the right…
The Future of Data Management: 8 Fast Growing Trends
Data leaders need to know these eight red hot data management trends to help their organizations become more data driven.
Is The Self Service Data Platform A Lie? Data Engineers Debate
Self-serve systems are a big priority for data leaders and a principle of nearly every modern data strategy, but what…
7 Lessons From GoCardless’ Implementation of Data Contracts
Data contracts define and enforce the schema and meaning of data to improve its reliability and usability.
Managing Big Data Quality And 4 Reasons To Go Smaller
Get proven strategies for managing big data quality and learn why, when it comes to big data quality, bigger isn't…
Snowflake Summit 2022 Keynote Recap: Disrupting Data Application Development in the Cloud
A view from the 10th row on Unistore, Python in Snowpark, and more exciting announcements from SFDC leadership.
Building An External Data Product Is Different. Trust Me. (but read this anyway)
Developing an external data product is different, and let's face it harder, than serving internal customers. We dive into 5…
Measure The Impact Of Your Data Platform With These Metrics
Your team launched a new data platform. Great! How do you know it’s working?…
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…
4 Native Snowflake Data Quality Checks & Features You Should Know
The bad news? Data breaks. The good news? These 4 Snowflake data quality checks & 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 Modern Data Warehouse Architecture Broken?
The modern data warehouse architecture creates problems across many layers. Consider instead an immutable data warehouse for scale and usability.
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…
Reverse ETL: The Missing Piece of the Data Quality Puzzle
Reverse ETL tools eliminate data wait times by pushing fresh, real-time data and insights into the apps you use every…
Building a Data Platform: 7 Signs It’s Time to Invest in Data Quality
It's hard to get your data platform off the ground if you can't trust it. Here are 7 signs it's…
Batch Processing vs Stream Processing: The Data Quality Edition
Learn how to achieve high-quality data through batch processing vs stream processing by implementing data observability to your pipelines.
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.
5 Non-Obvious Things to Consider When Building Your Data Platform
Here are 5 important questions to answer when migrating to the self-service data platform of your dreams.
The New Face of a Data Governance Model
Data governance models are dead. Here’s how we can resurrect it.
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.
How to Treat Your Data As a Product
Your company wants to "treat data like a product." Great! What does that mean?…
What’s In Store for the Future of the Modern Data Stack?
Bob Muglia, the former CEO of Snowflake, discusses what’s next for the tooling and technologies powering data analytics and engineering.
How to Build Your Data Reliability Stack
Data reliability is a critical focus for modern data teams. Here's how to get started.
7 Questions to Ask When Building Your Data Team
When it comes to ensuring your data team is happy and productive, answering these seven questions will make all the…
Data Mesh – Fad or Fab?
Love it or hate it – it’s here. So, we turned to one of the experts to ask him some…
Data Mesh 101: How to Get Started
What is a data mesh? Do you even need one? Download this free guide to learn how some of the…
Data Anomaly Detection: Why Your Data Team Is Just Not That Into It
Delivering reliable data products doesn't have to be so painful. Introducing a more proactive approach to detecting data anomalies: the…
Reverse ETL and Data Observability: Solving Data’s “Last Mile” Problem
How Reverse ETL and Data Observability can help teams go the extra mile when it comes to trusting your data…
Decoding the Data Mesh
Building a data mesh? Avoid these 7 common mesh-conceptions.
The Weekly ETL: How Do You “Thin Slice” a Data Pipeline?
In Monte Carlo’s Weekly ETL (Explanations Through Lior) series, Lior Gavish, Monte Carlo’s co-founder, and CTO answers a trending question…
What in the World is Going on with Data Catalogs?
Data catalogs are having an identity crisis. Here’s why.
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?…
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…
What is a Data Platform? And How to Build An Awesome One
A data platform is a central repository and processing house for all of an organization's data. Here's how to build…
Announcing the 2021 Data Platform Trends Report
Building a data platform? We've got you covered.
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.
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…
Data Mesh 101: Everything You Need To Know to Get Started
Your company wants to build a data mesh. Great! Now what? Here’s a quick primer to get you started --…
Introducing the New ABCs of Data
To help you keep pace with the evolving world of data, we put together the new essential alphabet for data…
How to Build Your Data Platform like a Product
We share advice for designing a data platform that will maximize the value and impact of data at your company.
What is a Data Mesh — and How Not to Mesh it Up
A beginner’s guide to implementing the latest industry trend: a data mesh.
