English | Size: 2.61 GB
Genre: eLearning
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
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
https://nitro.download/view/93FE3C258912619/UD-Data-Warehousing-and-Engineering-using-Snowflake-and-AWS-Cloud.28.4.part1.rar
https://nitro.download/view/A011B2EE94EAEA8/UD-Data-Warehousing-and-Engineering-using-Snowflake-and-AWS-Cloud.28.4.part2.rar
https://nitro.download/view/4AE201B714C83E1/UD-Data-Warehousing-and-Engineering-using-Snowflake-and-AWS-Cloud.28.4.part3.rar
https://nitro.download/view/7C6E423FE4B1A2A/UD-Data-Warehousing-and-Engineering-using-Snowflake-and-AWS-Cloud.28.4.part4.rar
https://nitro.download/view/70F12B54F41D20F/UD-Data-Warehousing-and-Engineering-using-Snowflake-and-AWS-Cloud.28.4.part5.rar
https://nitro.download/view/A3377037C7A3709/UD-Data-Warehousing-and-Engineering-using-Snowflake-and-AWS-Cloud.28.4.part6.rar
https://nitro.download/view/3E8D5731CCC63AE/UD-Data-Warehousing-and-Engineering-using-Snowflake-and-AWS-Cloud.28.4.part7.rar
https://rapidgator.net/file/e0843fe6494fb76c246279f8a30ae2f4/UD-Data-Warehousing-and-Engineering-using-Snowflake-and-AWS-Cloud.28.4.part1.rar.html
https://rapidgator.net/file/43995f836233838f2f3b9a0a542502c9/UD-Data-Warehousing-and-Engineering-using-Snowflake-and-AWS-Cloud.28.4.part2.rar.html
https://rapidgator.net/file/1bfb1f0cb74b3191e0c2d4fcfc824794/UD-Data-Warehousing-and-Engineering-using-Snowflake-and-AWS-Cloud.28.4.part3.rar.html
https://rapidgator.net/file/d4e36db91a894668964ff9a089c40adb/UD-Data-Warehousing-and-Engineering-using-Snowflake-and-AWS-Cloud.28.4.part4.rar.html
https://rapidgator.net/file/3005a053f2b30f76ea5a3100d2540f27/UD-Data-Warehousing-and-Engineering-using-Snowflake-and-AWS-Cloud.28.4.part5.rar.html
https://rapidgator.net/file/e51224450be7767f6a5585a1b9e06d0a/UD-Data-Warehousing-and-Engineering-using-Snowflake-and-AWS-Cloud.28.4.part6.rar.html
https://rapidgator.net/file/50a1f4b5c92f7ba3d6b155730122f002/UD-Data-Warehousing-and-Engineering-using-Snowflake-and-AWS-Cloud.28.4.part7.rar.html
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