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Dur: 45 days
Course fee : 18000 /-

SnowFlake

Course Overview

Naresh IT's Snowflake Online Training is a rigorous module that offers individual sound training in this modern cloud-based data platform, SnowflakeBecause of unique architecture and feature of Snowflake, this course endows learners with the ability to perform large-scale data analysis, manage data warehouses, and perform all data operations very efficientlySnowflake training module includes hands-on projects and real-world application of the concepts with practical basis on Snowflake's functionality and capabilities.

Why select Snowflake Online Training by Naresh IT?

  • Expert Trainers: Our trainers are professionals in the industry and have extensive knowledge regarding Snowflake and data warehousing. The comprehensive curriculum addresses every detail of Snowflake from basic to high-end attributes.
  • Hands-on learning: Learn through working on real-world data scenarios and case studies.
  • Flexible Learning Options: Training sessions are accessible from any location through our online platform.
  • Certification of Completion: Receive a certificate to showcase your Snowflake skills and boost your resume.

Description

Snowflake is transforming the worlds of data warehousing as such, delivers high-performance data warehousing in a scalable and secure cloud-based platform. Our comprehensive course, Snowflake Online Training, covers all aspects from basic data warehousing to advanced topics of the Snowflake environment such as data sharing, multi-cluster management and performance optimization. Taught by industry experts, this course is ideal for data engineers, data analysts and IT professionals who want to unlock the full capabilities of Snowflake.
The online training by Naresh IT will definitely embed real-world experience in the participant's mind with interactive sessions, hands-on labs, and project-based learning. By the end of this Snowflake training, learners will be well-equipped and proficient in managing data operations, optimizing performance, and effectively using the unique features of Snowflake for most applications involving data.

Course Objectives

Our principal objectives for undertaking Snowflake Online Training are as follows.

  • Gain a solid understanding of Snowflake’s cloud data platform architecture.
  • Learn to design and manage data warehouses in Snowflake.
  • Develop skills in data loading, transformation, and querying over Snowflake.
  • Unique to Snowflake: Master data sharing and security features.
  • Understand scaling and performance optimization techniques of Snowflake.
  • Work on real world projects involving data integration and data warehousing in Snowflake.

Prerequisites
  • To get the most out of Snowflake Online Training participants should bring:

    • Basic familiarity with SQL and data warehousing concepts.
    • Experience with cloud platforms is a plusbut not a must: cloud providers like AWS, Azure or Google Cloud.
    • An enthusiasm to learn about modern data platforms and engineering practices on data.
Course Curriculum

  • What is Cloud?
  • Different Cloud Vendors
  • Advantages of Cloud over Traditional Databases

  • What is a Data Warehouse?
  • Database Vs Data Warehouse
  • Why do we need Data Warehouse?
  • OLTP Vs OLAP
  • What is ETL?

  • Supported Cloud Platforms
  • Snowflake Architecture
  • Cloud Service Layer
  • Compute or Query processing Layer
  • Storage Layer
  • Snowflake Editions
  • Setting up virtual warehouses

  • User Interface - snow sight
  • SnowSQL (CLI Client)
  • Using python

  • Introduction to Time Travel
  • Configure Retention time property
  • Query historical results
  • Clone historical objects
  • Restore the dropped objects

  • Introduction to Fail safe
  • Check fail safe storages consumption
  • Fail safe storage charges

  • Different table types
  • Permanent tables & databases
  • Transient tables & databases
  • Temporary tables & databases

  • Partitioning in Traditional Data Warehouses
  • Partitioning in Traditional Data Warehouses
  • Advantages of Micro-Partitioning
  • Structure of Micro-Partition
  • Query Processing in Snowflake

  • File formats supported in Snowflake
  • Creating file formats
  • Types of data loading
  • Limited data
  • Bulk data
  • Continuous data
  • Limited data loading/unloading using Web Interface
  • Bulk data loading/unloading from/to local file
  • Bulk data loading/unloading from/to Amazon S3
  • Bulk data loading from Microsoft Azure
  • Bulk data loading from Google cloud

  • Creating stage & raw file
  • Parsing JSON
  • Handling nested data
  • Dealing with hierarchy
  • Insert final data

  • What is a stage? Types of stages
    • Table stages
    • User Stage
  • Named Stage
  • Creating stages
  • Data Loading/Unloading into/from stages
  • Querying Data in Staged Files
  • External stages
    • AWS registration
    • Bucket creation
    • IAM policies
    • Accessing bucket through outside
    • Integrating AWS S3 to snowflake
    • Loading files from S3 but to snowflake

  • Introduction to Snowpipe
  • Load CSV data from S3 using Snowpipe
  • Load JSON data from S3 using Snowpipe
  • Snowpipe

  • Introduction to Data Sharing
  • Data Providers
  • Data Consumers
  • INBOUND and OUTBOUND Shares

  • Introduction to Tasks
  • Task tree
  • Implement standalone task
  • Check task history

  • Introduction to streams
  • Insert operation in streams
  • Delete operation in streams
  • Update operation in streams

  • Introduction to Zero Copy Cloning
  • Clone Database, Pipes, Streams, Tasks & Stages
  • Clone Schema and Tables
  • DML changes in cloned table
  • Cloning using Time Travel
  • Swap the Tables

  • Downloading and installing SnowSQL
  • Creating database, tables in SnowSQL
  • Loading and unload data using
  • SnowSQL

  • System Usage & Billing
  • Understanding Snowflake Credit and Storage Usage

  • System defined User roles
  • Custom roles
  • Creating Users
  • Creating Custom Roles
  • Granting roles to users
  • Data Encryption in Snowflake
  • Data Encryption at customer side

  • What are Snowflake Credits?
  • Server less Features cost
  • Storage Cost
  • Check storage cost for different regions
  • Virtual Warehouses – Compute Cost
  • Cloud Services Cost
  • Data Transfer Cost
  • Check consumed CREDITS on your
  • Account

  • Cache introduction
  • Types of Cache in Snowflake

  • Views in Snowflake
  • Secure views in Snowflake
  • Views vs. Secure Views
  • Understand and creating materialized views
  • Refresh materialized views
  • When to use materialized views

  • Understanding data masking
  • Creating a masking policy
  • Recreate and Unset Masking Policy
  • Apply Masking policies on objects
  • Alter Masking Policies
Who can learn this course

  • Data engineers who wish to expand their skills with cloud-based data platforms.
  • Data Analysts who wish to undertake higher studies in large dataset handling and analysis.
  • Database Administrators (DBAs) who want to work with Snowflake's unique architecture and improve their career opportunities.
  • IT professionals interested in the latest advancements in cloud technologies and data warehouse practices.
  • Students and graduates looking forward to working as part of team in establishing a data engineering or data analytics career specializing in cloud platforms.

Average package of course (SnowFlake)

100% Avg
salary hike
4 - 6L Avg
Package
Upcoming Batches
Live Training Batches Timetable
Course Name Faculty Date Time Mode of Training Batch Type Meeting Link
SnowFlake Real-Time Expert 9 Dec 8:00 AM (IST) online Online Training
Training Features
Comprehensive Course Curriculum

Elevate your career with essential soft skills training for effective communication, leadership, and professional success.

Experienced Industry Professionals

Learn from trainers with extensive experience in the industry, offering real-world insights.

24/7 Learning Access

Enjoy round-the-clock access to course materials and resources for flexible learning.

Comprehensive Placement Programs

Benefit from specialized programs focused on securing job opportunities post-training.

Hands-on Practice

Learn by doing with hands-on practice, mastering skills through real-world projects

Lab Facility with Expert Mentors

State-of-the-art lab facility, guided by experienced mentors, ensures hands-on learning excellence in every session

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