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 transformationReal Time Streaming using Kafka and Snowflake Interacting with External Functions & use casesSecurity 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
