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 AWSGlue 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

- SQLProgrammers or DBA's

- Aspiring Data analysts and scientists who are learning SQLand Python

This Course covers :

• What is Snowflake

• Most Crucial Aspects of Snowflake in a very practical manner

• Writing Python/Spark Jobs in AWSGlue 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 SQLor 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 AWSAccount &know-how of basic cloud fundamentals

Important Note - You need to have an active AWSAccount 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