Snowflake is the only data platform built for the cloud for all your data and all your users. Mobilize your data to advance your business.
  • Module 1:- Python

    • Foundations of programming:
    • Python built-in Data types
    • Understanding Data Types in Python
    • Control flow statements:
    • Functions
    • Oops
    • Class
    • Object
    • Constructor
    • Arrays
    • List comprehensions and Lambda
    • Parsing information with Python
    • Dictionaries
    • Tuples
    • Python Programming Language
    • Lambdas Python
    • Regular Expressions
    • Introduction to NumPy
    • Arrays Structured Data:
    • NumPy’s Structured Arrays
    • Advanced NumPy
    • Introducing Pandas Objects
    • Data Indexing and Selection
    • Operating on Data in Pandas,
    • Handling Missing Data
    • Hierarchical Indexing
    • Combining Datasets:
    • Aggregation and Grouping and Pivot Tables


    Module 2:- SnowFlake

    • Snowflake architecture in detail.
    • SnowSQL/SQL
    • How data processing happens in snowflake.
    • Secure data sharing in snowflake.
    • Understand different caching layers in snowflake.
    • Continues data load using snowpipe.
    • Clustering tables in snowflake and how it works under the hood.
    • Load data and unload data from AWS , GOOGLE and AZURE cloud
    • Snowflake internal stage and external stages.
    • Snowflake data sampling and its importance.
    • Detail overview about, snowflake clone , failsafe and data retention.
    • Unique features of Snowfalke ( time travel , undrop , table swap)
    • Scheduling using Tasks
    • Streams in snowflake
    • Best practices in snowflake


Real Life Case Studies

Real Life Case Studies

Projects modeled on select use cases with implementation of diverse technology concepts



All guided classes and courses are mandatorily followed by useful practical assignments

24x7 Expert Support

24x7 Expert Support

Every technical query is resolved on demand with readily available expert assistance

Instructor-led Sessions

Technical session conducted under the guidance of qualified and certified educationists

Course Info

Course Start Date 11/17/2020
Course End Date 12/15/2020
Estimated Duration 3/4 Weeks
Maximum Students 30
Levels Advanced

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