Snowflake - Build & Architect Data pipelines using AWS

Data engineering and architecting pipelines using snowflake & AWS cloud

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
Requirements
Prior programming experience in Sql and python is a must .
Prior basic experience or understanding of cloud services like AWS is important
Description
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