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Snowflake - Build and Architect Data Pipelines Using AWS
Snowflake - Build and Architect Data Pipelines Using AWS

Snowflake - Build and Architect Data Pipelines Using AWS: Data engineering and architecting pipelines using Snowflake and AWS cloud

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Profile Icon Siddharth Raghunath
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$69.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Video May 2023 8hrs 39mins 1st Edition
Video
$69.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Siddharth Raghunath
Arrow right icon
$69.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Video May 2023 8hrs 39mins 1st Edition
Video
$69.99
Subscription
Free Trial
Renews at $19.99p/m
Video
$69.99
Subscription
Free Trial
Renews at $19.99p/m

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Key benefits

  • Learn from an easy-to-understand and step-by-step course, divided into 85+ videos along with detailed resource files
  • Integrate real-time streaming data and data orchestration with Airflow and Snowflake
  • Highly practical explanations and lab exercises to help you grasp the most out of the course

Description

Snowflake is the next big thing, and it is becoming a full-blown data ecosystem. With the level of scalability and efficiency in handling massive volumes of data and also with several new concepts in it, this is the right time to wrap your head around Snowflake and have it in your toolkit. This course not only covers the core features of Snowflake but also teaches you how to deploy Python/PySpark jobs in AWS Glue and Airflow that communicate with Snowflake, which is one of the most important aspects of building pipelines. In this course, you will look at Snowflake, and then the most crucial aspects of Snowflake in an efficient manner. You will be writing Python/Spark Jobs in AWS Glue Jobs for data transformation and seeing real-time streaming using Kafka and Snowflake. You will be interacting with external functions and use cases, and see the security features in Snowflake. Finally, you will look at Snowpark and explore how it can be used for data pipelines and data science. By the end of this course, you will have learned about Snowflake and Snowpark, and learned how to build and architect data pipelines using AWS. You need to have an active AWS account in order to perform the sections related to Python and PySpark. For the rest of the course, a free trial Snowflake account should suffice.

Who is this book for?

This course is ideal for software engineers, aspiring data engineers or data analysts, and data scientists who want to excel in their careers in the IT domain. Apart from them, this course is also good for programmers and database administrators with experience in writing SQL queries. Prior programming experience in SQL or at least some prior knowledge in writing queries and Python is a must. You should have a basic experience or understanding of cloud services such as AWS along with an active AWS account.

What you will learn

  • Learn about Snowflake and its basics before getting started with labs
  • Check the crucial aspects of Snowflake in a very practical manner
  • Write Python/Spark jobs in AWS Glue Jobs for data transformation
  • Execute real-time streaming using Kafka and Snowflake
  • Interact with external functions and use cases
  • Learn and explore the Snowpark library

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Last updated date : May 31, 2023
Publication date : Sep 27, 2022
Length: 8hrs 39mins
Edition : 1st
Language : English
ISBN-13 : 9781804615676
Languages :
Tools :

What do you get with a video?

Product feature icon Download this video in MP4 format
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want

Product Details

Last updated date : May 31, 2023
Publication date : Sep 27, 2022
Length: 8hrs 39mins
Edition : 1st
Language : English
ISBN-13 : 9781804615676
Languages :
Tools :

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Frequently bought together


Stars icon
Total $ 209.97
Solutions Architect's Handbook
$89.99
Snowflake - Build and Architect Data Pipelines Using AWS
$69.99
Snowflake Cookbook
$49.99
Total $ 209.97 Stars icon

Table of Contents

14 Chapters
Introduction to the Course Chevron down icon Chevron up icon
Introduction to Snowflake and AWS Chevron down icon Chevron up icon
Snowflake - Tables Chevron down icon Chevron up icon
Snowflake – Partitioning, Clustering, and Performance Optimization Chevron down icon Chevron up icon
Snowflake – Data Loading/Ingestion and Extraction Chevron down icon Chevron up icon
Snowflake – Tasks and Query Scheduling Chevron down icon Chevron up icon
Snowflake – Streams and Change Data Capture Chevron down icon Chevron up icon
Snowflake – User-Defined Functions Chevron down icon Chevron up icon
Snowflake – External Functions Chevron down icon Chevron up icon
Snowflake with Python, Spark, and Airflow on AWS Chevron down icon Chevron up icon
Real-Time Streaming with Kafka and Snowflake Chevron down icon Chevron up icon
Snowflake – Data Protection and Governance Chevron down icon Chevron up icon
Snowpark – For Data Pipelines and Data Science Chevron down icon Chevron up icon
Wrap Up and More Learning Chevron down icon Chevron up icon

Customer reviews

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(1 Ratings)
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Dulguun Mar 25, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Hello, I'm trying to do The lab with Views, and it says Unsupported feature 'MATERIALIZED VIEWS'. So this feedback is kind of a question. I searched it on google and it states that Materialized views are a feature that is available on enterprise and above versions. Is it because I'm using the trial version of the Snowflake that giving me this error? If so please fix it and state it on the videos. Cheers
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