Moving Data with Snowflake

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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CompleteBilled Monthly
₹2,370/mo

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Course Insight

Suitable for beginner learners. This course serves as an entry point into Software Development, building foundational knowledge before moving on to advanced frameworks or specialized paths.

Beginner FriendlySelf-Paced Learning

SKILLS TO
MASTER

Software Development Basics
Fundamental principles and concepts
Practical ApplicationTrending
Real-world project implementation
Best Practices
Industry standard workflows and guidelines
Problem Solving
Core Concepts
Implementation
Workflow Integration
Optimization
Careers:Cloud Engineer, DevOps Engineer, Solutions Architect.

Quick Facts

Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.

What You’ll Learn

  • Course Overview : 1min.
  • Getting Started with Snowflake : 15mins.
  • Working with Batch Data in Snowflake : 47mins.
  • Working with Streaming Data in Snowflake : 17mins.
See side-by-side differences in what you’ll learn

Description

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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Moving Data with Snowflake
4(40+ learners)