Social Prachar

For Quick Assistance:  +91-8019479419

Master SnowFlake Today

100% Placement Assistant with 1-1 Career Guidance

Tools You'll Master

0 +
Hours Classes Delivered
0 +
Students Trained
0 +
Batches Completed
0 +
Prestigious EdTech Awards Received

100% Advanced Curriculums & Placements

Content Curated By IIM alumni.

7+ Years Experienced Trainers

Get your Dream Job with 3LPA - 12LPA

🔥 Only ONE Batch per Month

🔥 Just 20 Students Per Batch

🔥 Course & Internship Program

🔥Online & Classroom Programs

SnowFlake Course Overview

Snowflake is a Cloud Based data warehousing platform/solution that works as a SAAS provider. It is an analytics database built on Cloud and delivered as a Data Warehouse as a Service (DWAAS). Over 3000+ Organisations use this technology for their companies as it is one of the most cost-effective pricing solutions. Snowflake has made a revenue of 121.9 crores USD as of 2022. Learn Initial Configuration, Security and data management, Creating snowflake objects, stage the data files, Data Sharing and Validations in different formats. Snowflake leverages the functionality of an Innovative SQL Query engine with a flexible architecture natively established for the Cloud.


96%

of participants who met the conditions got placed

98%

Program Satisfaction

98%

Program Completion Raate

  • 01

    You get training from Snowflake Expert trainer, with 15 years of overall IT Experience and about 5 Years as Snowflake Data Engineer.

  • 02

    Snowflake Offer a 30 Day Free Trial to help you learn and get used to the snowflake dashboard while exploring the features that are important for the business. After 30 days you can upgrade or use trial account again.

  • 03

    300 + students were trained 160+ placed by Snowflake Masters in last 6 months.

  • 04

    Build your career in a cloud-based data platform by joining our best Snowflake Training In Hyderabad and become an expert in the enterprise-ready cloud data warehouse.

  • 05

    Learn Initial configuration, security and data management, creating snowflake objects, stage the data files, Data sharing and validations in different formats.

  • 06

    Learn how to implement standard and extended SQL support, hands-on in SnowSql (Python-based web-client), Query the loaded data.

  • 07

    Get access to LMS with Daily Class recordings. You can now learn snowflake from Anywhere Anytime time (Snowflake Online training).

  • 08

    Get access to LMS with Daily Class recordings. You can now learn snowflake from Anywhere Anytime time (Snowflake Online training).

  • 09

    We give you a special privilage to attend 2 batches for a single price. so if you missed or couldn't understand few topics we will let you attend a new batch for no extra fee.

  • 10

    Special Live doubt clearing sessions conducted by our trainers on weekends if required.

Advantages of this Course

Course Curriculum

  • Snowflake Overview
  • Architecture
  • How to use the Snowflake UI & ecosystem
  • What is Cloud
  • Different Cloud Vendors
  • Advantages of Cloud over On-Premise
  • What is a Data Warehouse, and Why do we need a Data Warehouse?
  • Database Vs Data Warehouse.
  • Data Warehouse Architecture
  • OLTP Vs OLAP
  • What is ETL
  • How different from traditional DB
  • Quick start to the snowflake and accessing trial account
  • Creating warehouse, DB, Schema, and tables
  • Accessing different roles and using it
  • Working with worksheets
  • Understanding different type of accounts
  • AWS and understanding S3 storage
  • Snowflake architecture and caching
  • AZURE and understanding blob storage
  • GCP and understanding Bucket storage
  • File formats
  • Internal and external storage
  • Internal and external stage
  • Copy into usage
  • Snowflake internal storage
  • Accessing Cloud storage data into Snowflake (GCP, AZURE and AWS)
  • Data unloading
  • Accessing Snowpipe
  • PUT and GET commands
  • Bulk loading from cloud storage
  • Continuous loading
  • Snowflake Connector and use cases Python
  • BI connectors use cases
  • Other connectors hands-on
  • Variant Data Type
  • File format options
  • Creating stages
  • Loading JSON semi-structured data into SF tables
  • Accessing JSON with select statement
  • Creating Tasks
  • Streams
  • Accessing procedures with tasks
  • Scheduling as per time with Different time zones
  • Automate loading process Daily and Weekly
  • Usage of sharing data
  • Sharing data with different accounts
  • Sharing data with non-SF accounts using reader accounts
  • Importance of reader accounts
  • Privileges in data sharing
  • Challenges with cross-region sharing and understanding replication
  • Connecting shared objects with BI tools
  • Limitations with Data sharing
  • Access Control Privileges for Cloned Objects.
  • Cloning and Snowflake Objects
  • Impact of DDL on Cloning
  • Impact of DML and Data Retention on Cloning
  • Access Control Privileges for Cloned Objects.
  • Cloning and Snowflake Objects
  • Impact of DDL on Cloning
  • Impact of DML and Data Retention on Cloning
  • Creating multi-users on large tables
  • Performance techniques
  • Result set cache
  • Metadata cache
  • Query data cache
  • Best practices of using caching for performance and cost optimization
  • Error Handling and Validations
  • Snowflake Pricing model and selecting best Edition and Calculation of Credits usage
  • Resource Monitoring
  • Data Masking
  • Partitioning and Clustering in snowflake
  • Materialized View and Normal View
  • Integration with Python
  • Integration with AWS, Azure and Google Cloud
  • Best Practices to follow