Snowflake - Build & Architect Data pipelines using AWS

Snowflake – Build & Architect Data pipelines using AWS | Udemy
English | Size: 2.61 GB
Genre: eLearning

What you’ll learn
Snowflake as a data-warehouse along with other important features
Build Automated Pipelines with Snowflake
Use AWS Cloud with Snowflake as a data-warehouse
Integrating real time streaming data and data orchestration with Airflow and Snowflake

Snowflake is the next big thing and it is becoming a full blown data eco-system . With the level of scalability & efficiency in handling massive volumes of data and also with a number of 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 .

Anyone who has a basic understanding of cloud and belong to one of the below backgrounds can benefit from this course :

– Data Scientists / Analysts

– Data Engineers / Software Developers

– SQL Programmers or DBA’s

– Aspiring Data analysts and scientists who are learning SQL and Python

This Course covers :

What is Snowflake

Most Crucial Aspects of Snowflake in a very practical manner

Writing Python/Spark Jobs in AWS Glue Jobs for data transformation

Real Time Streaming using Kafka and Snowflake

Interacting with External Functions & use cases

Security Features in Snowflake

Prerequisites for this course are :

Knowing SQL or at least some prior knowledge in writing queries

Scripting in Python (or any language )

Willingness to explore ,learn and put in the extra effort to succeed

An active AWS Account & know-how of basic cloud fundamentals

Important Note – 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 .

Some Tips :

Try to watch the videos at 1.2X speed

Read the reference links and the official documentation of Snowflake as much as possible

Who this course is for:
software engineers,aspiring data engineers or data analyst & data scientists
Also good for programmers and database administrators with experience in writing SQL queries