Monte Carlo and Snowflake Fundamentals
Monte Carlo and Snowflake Fundamentals, available at $39.99, has an average rating of 1.83, with 27 lectures, based on 3 reviews, and has 30 subscribers.
You will learn about Connect Monte Carlo to Snowflake Monitor Data Anomalies in Monte Carlo Configure Customizable Data Notifications Custom SQL Data Monitors Field Health Monitors JSON Schema Monitors Volume and Freshness Monitors Infrastructure as Code Github Actions for CI/CD Useful Snowflake Monitors for All Organizations This course is ideal for individuals who are Data Analysts and Engineers looking to monitor their data in Snowflake or Data Analysts and Engineers looking to set up custom data notifications It is particularly useful for Data Analysts and Engineers looking to monitor their data in Snowflake or Data Analysts and Engineers looking to set up custom data notifications.
Enroll now: Monte Carlo and Snowflake Fundamentals
Summary
Title: Monte Carlo and Snowflake Fundamentals
Price: $39.99
Average Rating: 1.83
Number of Lectures: 27
Number of Published Lectures: 27
Number of Curriculum Items: 29
Number of Published Curriculum Objects: 29
Original Price: $27.99
Quality Status: approved
Status: Live
What You Will Learn
- Connect Monte Carlo to Snowflake
- Monitor Data Anomalies in Monte Carlo
- Configure Customizable Data Notifications
- Custom SQL Data Monitors
- Field Health Monitors
- JSON Schema Monitors
- Volume and Freshness Monitors
- Infrastructure as Code
- Github Actions for CI/CD
- Useful Snowflake Monitors for All Organizations
Who Should Attend
- Data Analysts and Engineers looking to monitor their data in Snowflake
- Data Analysts and Engineers looking to set up custom data notifications
Target Audiences
- Data Analysts and Engineers looking to monitor their data in Snowflake
- Data Analysts and Engineers looking to set up custom data notifications
Background
Monte Carlo is an incredibly powerful Data Observability tool for your data stack that monitors and alerts for data issues across your data warehouses, data lakes, ETL, and business intelligence. The platform uses machine learning to infer and learn your data, proactively identify data issues, assess their impact, and notify those who need to know. Beyond their ML monitoring, Monte Carlo offers robust customizable data monitoring and alerting so you can set up all types of data alerts for your organization – whether they are for data issues that need to be addressed, or simply for alerts that a specific metric has reached a certain threshold.
What you’ll learn
By the end of the class, you’ll have completely connected your own Monte Carlo and Snowflake accounts following best practices, and you’ll be able to monitor and set up alerts on your Snowflake objects. Some of these skills you’ll gain include:
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Configuring customizable monitors based on any data in your warehouse
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Ensuring your data pipelines remain fresh with monitoring and alerting
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Setting up useful Snowflake monitors to enhance the monitoring of your Snowflake
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Configuring notifications through Slack or email
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Managing all of the monitoring infrastructure through code
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Setting up github actions to preview the infrastructure changes before deployment, and automatically deploy on merge requests
Why you should use Monte Carlo to monitor your Snowflake account
Snowflake is an incredible data warehouse critical to thousands of organizations. But effectively monitoring Snowflake at scale has been difficult, until we start taking advantage of Monte Carlo.
Some of the benefits of using Monte Carlo with Snowflake include:
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Automatically monitoring all relevant data with Monte Carlo’s ML monitoring
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Detect data quality issues in your pipeline before they reach downstream reports
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Identify and manage data anomalies by assigning an owner to each data incident that needs investigation
Essentially, Monte Carlo allows you to use Infrastructure as Code to have full control over monitoring your Snowflake account. By establishing a process for identifying and triaging data incidents, you can efficiently manage your Snowflake account knowing that you have the monitors and alerts in place to let you know about any issues.
About Monte Carlo
Monte Carlo lets you monitor other platforms as well including other Data Warehouses, Data Lakes, and even BI Tools like Tableau. They’re working to reduce data downtime for organizations and are continually pushing to help data teams measure the health of their applications.
Course Curriculum
Chapter 1: Basics
Lecture 1: Introduction
Lecture 2: Monte Carlo and Snowflake Setup
Lecture 3: Monte Carlo User and Permissions
Lecture 4: Monte Carlo CLI and Custom Monitor Intro
Lecture 5: Monitor Successes and Breaches Overview
Lecture 6: Custom SQL Monitor Deep Dive
Lecture 7: Field Health Monitor Overview
Lecture 8: JSON Schema Monitor Overview
Lecture 9: Adjusting Database Connection and Dimension Tracking Monitor Overview
Lecture 10: Updates in UI vs. Code
Chapter 2: Setting Up Realistic Data and Monitors
Lecture 1: New Realistic Data
Lecture 2: Advanced Field Health Monitor
Lecture 3: Advanced Freshness and Volume Monitors
Lecture 4: Advanced Dimension Tracking Monitor
Chapter 3: Essential Snowflake Monitors
Lecture 1: Snowflake Resource Monitor Tracking
Lecture 2: ACCOUNTADMIN Monitoring
Lecture 3: Task Failed Monitoring
Lecture 4: Login Failed Monitoring
Lecture 5: Role Grant Monitoring
Lecture 6: User Access to Warehouse Monitoring
Lecture 7: Table Missing Data Monitor
Chapter 4: Advanced Features and Best Practices
Lecture 1: Rule Breaches and Incidents
Lecture 2: Field Lineage
Lecture 3: Slack Notifications
Lecture 4: Email Notifications
Lecture 5: Github Configuration
Lecture 6: Github Actions
Instructors
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Jeremy Holtzman
Data Analyst / Engineer
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 0 votes
- 5 stars: 0 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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