Free Download Programming in Snowflake Masterclass 2024 Hands-On!
Published 2/2024
Created by Cristian Scutaru
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 176 Lectures ( 20h 56m ) | Size: 9.62 GB
by World-Class Snowflake Expert, former Data Superhero and SnowPro Certification SME
What you'll learn:
Query anything in Snowflake through SQL and Snowflake Scripting
Use most if not all programming APIs offered by Snowflake
Access and use Snowflake as a software or data developer
Build real-life tools and apps with and for Snowflake
Process and access hierarchical data and metadata in Snowflake Data Cloud
Requirements:
Basic SQL knowledge
Basic knowledge of programming in Python
Nice to have basic skills in other programming languages: SQL scripting, JavaScript, C#, Java, Scala...
No prior knowledge of Snowflake or other data warehouses is expected!
Basic knowledge of working with a git repository such as GitHub
Description:
Who I AmThe only world-class expert from Canada selected for the Snowflake Data Superhero program in 2021.SnowPro Certification SME (Subject Matter Expert): i.e. many exam questions have been created by me.Passed four SnowPro certification exams to date (with no retakes): Core, Architect, Data Engineer, Data Analyst.Specialized in Snowflake for the past few years, I worked for Snowflake Partner companies, and I served dozens of clients in this capacity or as an independent consultant.Today I continue to work with Snowflake, but I am no longer affiliated with their company in any capacity. I recently left their programs to keep my professional independence.What You Will LearnHow to access, expand and automate Snowflake through most if not ALL their existing APIs.How to build useful real-life tools and small apps with Snowflake APIs.How to ingest CSV and JSON data into Snowflake, through data pipelines and Snowpipe.How to write medium to complex data analytics queries for Snowflake.How to optimize queries, compute, storage and overall costs for Snowflake.How to process and render semi-structured and hierarchical data and metadata in Snowflake.I tried to cover almost EVERYTHING from Snowflake, only from a programming perspective.What Snowflake APIs You Will Learn AboutSQL (DDL/DML/DCL) and Snowflake ScriptingStored Procedures, User-Defined Functions (UDFs), User-Defined Table Functions (UDTFs)Python Client, Snowpark for Python, Python WorksheetsStreamlit Web Apps, Streamlit for Snowflake, Snowflake Native Apps FrameworkSecure Data Sharing and Data Clean RoomsSharing with private Data Exchange or public MarketplaceSnowflake SQL REST API and Snowpipe REST APIQuerying metadata from Account Usage and Information SchemaI tried to cover indeed ALL possible APIs that Snowflake offers today!What is NOT Included in This CourseData Science and Machine Learning APIs.Most external integrations, such as external functions, or Kafka and Spark connectors.Integrations with data transfer applications or other third-party partner apps.Client driver programming in Go, PHP, Java etc.Snowpark programming in Java or Scala.Main focus was on SQL and Python, with small extra snippets in JavaScript, C#, Java, Scala.Real-Life Applications You Will Learn To BuildCDC Data Pipelines with streams and tasks, or dynamic tablesGeneric hierarchical data viewerHierarchical metadata viewer (for data lineage and object dependencies, role hierarchy, etc.)Enhanced query profileScript automation accessing the SQL REST APIWe'll build all apps from scratch. We'll use then Streamlit - for many of them - to create simple web apps, local or remote. We may deploy them into Snowflake, as Streamlit Apps. Or even share them with local partner accounts, as Native Apps.I sold tools similar to these to real-life clients and Snowflake partners!No other course, book or documentation around - including those from Snowflake! - will offer as much insights, hands-on exercises and knowledge transfer as my course here, guaranteed!Enroll today, to keep this course forever. And help me continue to update it with new APIs Snowflake comes frequently up with.
Who this course is for:
Data Engineers new to Snowflake, looking to acquire deep knowledge of the APIs
Software Engineers and Developers looking to access Snowflake in different ways
Data Analysts looking for medium to complex queries they can write for Snowflake
Data Architects looking to design data pipelines for Snowflake
Software Architects looking to design apps and tools with and for Snowflake
Any other practitioner who enjoys data and coding, new or not to Snowflake
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