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Moving Data with Snowflake

Mohit Batra

In this course, you'll learn how to build batch and streaming pipelines in Snowflake - by understanding data load options, securely connecting to external stores & querying them, handling errors, and working with structured & semi-structured formats.

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In this course, you'll learn how to build batch and streaming pipelines in Snowflake - by understanding data load options, securely connecting to external stores & querying them, handling errors, and working with structured & semi-structured formats.

Snowflake is one of the most popular cloud data platforms. It allows data storage, data processing, and analytics at massive scale, with extremely less administrative effort, one of the key areas for any data platform is to build data pipelines.

In this course, Moving Data with Snowflake, you’ll learn how to quickly & reliably, ingest the data into the tables of Snowflake database - by building Batch and Streaming pipelines in Snowflake.

First, you’ll delve into each different data loading options in Snowflake.

Then, you’ll see how the batch loading process works in Snowflake - how to connect to external data stores, like Azure Storage; and how to directly query the files in Snowflake.

Next, you’ll explore how to work with structured, and semi-structured file formats, like CSV, JSON, and Parquet.

finally, you’ll see how to process streaming data in Snowflake – how to continuously load the data using Snowpipe; and how to automate this loading process.

By the end of this course, you’ll have the knowledge and skills, to Move Data with Snowflake, by building batch and streaming pipelines.

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What's inside

Syllabus

Course Overview
Getting Started with Snowflake
Working with Batch Data in Snowflake
Working with Streaming Data in Snowflake
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores Snowflake, which is a widely-used cloud data platform in industry
Taught by Mohit Batra, a recognized expert in Snowflake
Examines data loading options in Snowflake, which is highly relevant to data engineers and data analysts
Builds a strong foundation for working with batch data in Snowflake, which is essential for data management
Delves into streaming data in Snowflake, which is useful for real-time data processing
Requires learners to come in with some background knowledge in data engineering or data analysis

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Activities

Coming soon We're preparing activities for Moving Data with Snowflake. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Moving Data with Snowflake will develop knowledge and skills that may be useful to these careers:
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines that move data between different systems. This course can help you develop the skills you need to become a Data Engineer by teaching you how to use Snowflake to build batch and streaming data pipelines. You will learn how to connect to external data stores, transform and cleanse data, and load data into Snowflake. You will also learn how to use Snowflake's built-in features to automate the data pipeline process.
Data Analyst
A Data Analyst is responsible for analyzing data to identify trends and patterns. This course can help you develop the skills you need to become a Data Analyst by teaching you how to use Snowflake to query and analyze data. You will learn how to use SQL to write queries, create visualizations, and build reports. You will also learn how to use Snowflake's built-in features to automate the data analysis process.
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. This course can help you develop the skills you need to become a Database Administrator by teaching you how to use Snowflake to create and manage databases. You will learn how to create tables, indexes, and views. You will also learn how to use Snowflake's built-in features to automate the database administration process.
Data Scientist
A Data Scientist is responsible for developing and deploying machine learning models. This course can help you develop the skills you need to become a Data Scientist by teaching you how to use Snowflake to prepare and analyze data for machine learning. You will learn how to use SQL to write queries, create visualizations, and build reports. You will also learn how to use Snowflake's built-in features to automate the data preparation process.
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. This course can help you develop the skills you need to become a Software Engineer by teaching you how to use Snowflake to build data pipelines and data analysis applications. You will learn how to use SQL to write queries, create visualizations, and build reports. You will also learn how to use Snowflake's built-in features to automate the data pipeline and data analysis process.
Data Architect
A Data Architect is responsible for designing and managing data architectures. This course can help you develop the skills you need to become a Data Architect by teaching you how to use Snowflake to design and implement data pipelines and data warehouses. You will learn how to create data models, design data schemas, and implement data security. You will also learn how to use Snowflake's built-in features to automate the data architecture process.
Cloud Architect
A Cloud Architect is responsible for designing and managing cloud computing environments. This course can help you develop the skills you need to become a Cloud Architect by teaching you how to use Snowflake to build data pipelines and data warehouses in the cloud. You will learn how to create and manage virtual machines, configure networks, and implement security. You will also learn how to use Snowflake's built-in features to automate the cloud architecture process.
Business Intelligence Analyst
A Business Intelligence Analyst is responsible for analyzing data to identify trends and patterns that can help businesses make better decisions. This course can help you develop the skills you need to become a Business Intelligence Analyst by teaching you how to use Snowflake to query and analyze data. You will learn how to use SQL to write queries, create visualizations, and build reports. You will also learn how to use Snowflake's built-in features to automate the data analysis process.
Data Management Consultant
A Data Management Consultant is responsible for helping businesses manage their data. This course can help you develop the skills you need to become a Data Management Consultant by teaching you how to use Snowflake to build data pipelines and data warehouses. You will learn how to create data models, design data schemas, and implement data security. You will also learn how to use Snowflake's built-in features to automate the data management process.
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. This course may be useful for you if you are interested in becoming a Project Manager by teaching you how to use Snowflake to manage data projects. You will learn how to create project plans, track project progress, and manage project risks. You will also learn how to use Snowflake's built-in features to automate the project management process.
Product Manager
A Product Manager is responsible for planning, developing, and launching products. This course may be useful for you if you are interested in becoming a Product Manager by teaching you how to use Snowflake to manage product data. You will learn how to create product roadmaps, track product progress, and manage product risks. You will also learn how to use Snowflake's built-in features to automate the product management process.
Sales Engineer
A Sales Engineer is responsible for helping customers understand and use products and services. This course may be useful for you if you are interested in becoming a Sales Engineer by teaching you how to use Snowflake to demonstrate product capabilities. You will learn how to create demos, give presentations, and answer customer questions. You will also learn how to use Snowflake's built-in features to automate the sales process.
Systems Analyst
A Systems Analyst is responsible for analyzing and designing systems. This course may be useful for you if you are interested in becoming a Systems Analyst by teaching you how to use Snowflake to model systems. You will learn how to create system models, design system architectures, and implement system security. You will also learn how to use Snowflake's built-in features to automate the systems analysis process.
Technical Writer
A Technical Writer is responsible for writing and editing technical documentation. This course may be useful for you if you are interested in becoming a Technical Writer by teaching you how to use Snowflake to document data pipelines and data warehouses. You will learn how to write user guides, create technical specifications, and develop training materials. You will also learn how to use Snowflake's built-in features to automate the technical writing process.
Data Librarian
A Data Librarian is responsible for managing and organizing data. This course may be useful for you if you are interested in becoming a Data Librarian by teaching you how to use Snowflake to manage data assets. You will learn how to create data catalogs, define data governance policies, and implement data security. You will also learn how to use Snowflake's built-in features to automate the data management process.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Moving Data with Snowflake.
Provides a comprehensive overview of data warehousing with Snowflake, covering topics such as data modeling, data loading, and performance tuning. It's a valuable resource for anyone who wants to learn more about Snowflake or who is looking to build a data warehouse on Snowflake.
An official guide from Snowflake, providing a technical overview of the platform and its API. Covers data loading, querying, data manipulation, and best practices for developing applications on Snowflake.

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