Snowflake cloud database with ELT(Airflow+Python+Talend)

Learn to integrate ETL tools with Snowflake and leverage Airflow for ELT with snowflake.Process 250+ GB data.ELT flow.
4.29 (128 reviews)
Udemy
platform
English
language
Databases
category
instructor
Snowflake cloud database with ELT(Airflow+Python+Talend)
1 735
students
9 hours
content
Sep 2024
last update
$19.99
regular price

Why take this course?


Course Title: Snowflake Cloud Database with ELT (Airflow+Python+Talend) 🚀💧

Headline: Master the Art of Integrating ETL Tools with Snowflake and Orchestrate ELT Workflows with Airflow for Efficient Data Processing 🌬️🔄✨


Unlock the Full Potential of Your Data with Snowflake and ETL Tools

Welcome to our advanced online course where you will dive deep into the world of data processing using Snowflake, Airflow, Python, and Talend. If you've already joined us in the "Snowflake Masterclass [Real time demos+Best practices+Labs]" and are now looking for the next step to enhance your skillset, this is where your journey continues!

Why Take This Course? 🤔❓

  • Comprehensive Understanding: Build upon the foundational knowledge of Snowflake by learning how to efficiently handle ETL (Extract, Transform, Load) workflows.
  • Hands-On Experience: Get hands-on practice with real-world scenarios, including processing and transforming over 250 GB of data.
  • Powerful Tools at Your Fingertips: Utilize the best tools in the market—Airflow for orchestration, Talend for data integration, and Python for data analysis within Snowflake.
  • Real-Time Demos and Labs: Engage with real-time demonstrations and interactive labs to solidify your learning.

What You Will Learn: 🎓

  1. Building Workflows in Airflow: Gain a deep understanding of how to design, schedule, and monitor data workflows using Airflow.

  2. Talend for Data Integration: Learn how to leverage Talend's capabilities to create generic code that can ingest and process large volumes of data in Snowflake.

  3. Audit Tables and Performance Tracking: Set up audit tables to keep a record of every command executed on Snowflake, along with tracking the time consumed and capturing Snowflake credits.

  4. Processing Over 250+ GB of Data: Implement the framework you've built to process and transform a massive dataset of NYC traffic data.

  5. Integrating Python with Snowflake: Write Python code to analyze and capture statistics of the data loaded into Snowflake using a preconfigured Jupyter notebook.

Who Is This Course For? 👤

This course is designed for individuals who have some basic understanding of Snowflake and are looking to expand their skills in ETL processes, regardless of their prior experience with Airflow, Python, or Talend. Don't worry if you're new to these tools; comprehensive introductions will be provided to get you up to speed.

Your Instructor: 👩‍🏫

Pradeep H C is an expert in Snowflake with a wealth of knowledge and hands-on experience. He has crafted this course to ensure that learners at all levels can enhance their skills and become proficient in integrating ETL tools with Snowflake for efficient data processing.

Join Us on This Data Processing Adventure! 🌟

Whether you're aiming to streamline your company's data pipeline, or you're simply passionate about data and its transformative power, this course will equip you with the skills needed to master ETL workflows in Snowflake.

Enroll now and take the next step in your data processing journey! 💡🎓


Course Gallery

Snowflake cloud database with ELT(Airflow+Python+Talend) – Screenshot 1
Screenshot 1Snowflake cloud database with ELT(Airflow+Python+Talend)
Snowflake cloud database with ELT(Airflow+Python+Talend) – Screenshot 2
Screenshot 2Snowflake cloud database with ELT(Airflow+Python+Talend)
Snowflake cloud database with ELT(Airflow+Python+Talend) – Screenshot 3
Screenshot 3Snowflake cloud database with ELT(Airflow+Python+Talend)
Snowflake cloud database with ELT(Airflow+Python+Talend) – Screenshot 4
Screenshot 4Snowflake cloud database with ELT(Airflow+Python+Talend)

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2746274
udemy ID
08/01/2020
course created date
12/08/2021
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