Price: 7 USD | Size: 7.79 GB | Bundle Pack of 5 Courses | Duration : 17+ Hours | 256 Video Lessons | ⭐️⭐️⭐️⭐️⭐️ 4.8
BRAND : Expert TRAINING | ENGLISH | Bonus : Snowflake Database Pack of 10 PDF Guides | INSTANT DOWNLOAD
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Snowflake Database Pack of 5 Courses & PDF Guides
Course List
Learning Snowflake DB 283 MB
Snowflake – Build & Architect Data pipelines using AWS 2.58 GB
Snowflake Cloud Data Warehousing-Basics to Advanced concepts 1.09 GB
Snowflake Database - Managing User Access Control and More 1.33 GB
Snowflake Decoded - Fundamentals and hands on Training 1.23 GB
Snowpro-Core-Certification-Preparation 1.24 GB
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
