Snowflake - Architect Datawarehouse and Datalake solutions using AWS

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 the cloud and belongs 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 tasks in sections related to Python and PySpark . This course will help you with Snowpro certifications as well