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Cloud computing and cloud storage have transformed how mundane data sources are managed and maintained. In this scenario, Snow flake, a cloud-based storage and analytics service, is rapidly making inroads and transforming the way data is managed across companies. Snowflake is the unique platform of Snowflake Inc.

14 Modules

with Certifications


After Completion



Snowflake provides a single, global platform for your entire database ecosystem, allowing for easy collaboration between multiple business units. This platform provides the ideal balance of performance, flexibility, and near-infinite scalability for quickly uploading, combining, analysing, and authentically sharing data everywhere, at any time. It is a fully managed service that is simple to use while handling a large number of concurrent workloads. The best thing is that it can run on several cloud platforms, including Amazon S3, Microsoft Azure, and Google Cloud Platform.

Version IT is the market leader in Snowflake training Institutes in Hyderabad. We cover in our syllabus how to use the Snowflake Cloud Data Platform to explore, load, visualise, and extract insights. With so many SAAS-based data warehouse tools on the market today, Snowflake stands out for its unique design and approach.Snowflake is working on a smoother and more user-friendly application. Snowflake, unlike existing data warehousing solutions, is designed on a new SQL engine that is perfectly suited for cloud.

One of Snowflake’s unique features is its table structures, which use Micro–Partitioning and Data–Clustering. Snowflake allows users to “time travel,” or track data changes across time and view changes made up to 90 days earlier. Snowflake also has the following features:

  • Cloning — the clone feature instantly copies any snowflake object.
  • Undrop – Any object that has been dropped (databases, tables, schemas, etc.) can be undropped.
  • Fail safe – In case of a disaster, such as hardware or disc failure. Snowflake engineers can restore data for up to 7 days after a failure.

Snowflake architecture supports in dealing with data and analytics, as well as data warehousing capabilities.

Career Opportunities with Snowflake Training in Hyderabad

With rapidly growing opportunities in data analytics and warehousing, now is the moment for professionals and students to get trained in this quickly innovative platform in order to reap huge benefits in terms of career growth, newer job roles, and, of course, huge salary packages. Snowflake is currently being used by many companies, with over 5000 active accounts. Above all, with 5000+ active customers and 650+ million jobs in Snowflake being listed daily, the future of this technology segment looks extremely bright.

Version IT has created an extensive Snowflake training in Hyderabad programme to help professionals and students alike kick-start their careers in this course.This training provides all of the essential topics and applications for becoming a thoroughbred expert and becoming job-ready.

Because of its real time training methodology combined with hands-on practical sessions and live projects, Version IT should be your first choice for Best Snowflake training in Hyderabad , Ameerpet . We provide best-in-class Snowflake training and Snowflake job guidance to provide the right platform to grow your career next-level

Topics You will Learn

  • Overview of Snowflakes
  • Architecture
  • Using the Snowflake ecosystem and user interface
  • Describe Cloud
  • Various Cloud Providers
  • Cloud computing benefits versus on-premises
  • What exactly is a data warehouse, and why is one necessary?
  • Database versus Data Warehouse
  • Architecture of Data Warehouses
  • OLTP versus OLAP
  • Describe ETL.
  • How distinct from a conventional database
  • Launching the snowflake quickly and establishing a trial account
  • Creating the database, warehouse, schema, and tables
  • using and gaining access to various jobs
  • Utilising worksheets
  • Recognizing various account types
  • Understanding S3 storage and AWS
  • Snowflake caching and architecture
  • Understanding blob storage and AZURE
  • GCP and comprehending the storage of buckets
  • Formats for files
  • Both external and internal storage
  • Stages both internal and exterior
  • Put a copy to use
  • Internal storage for Snowflake
  • gaining access to Snowflake’s cloud storage data (GCP, AZURE, and AWS)
  • Unloading data
  • Overview of Time Travel
  • Looking Up Past Information
  • Turning on and Off Time Travel
  • Duration of Data Retention
  • Time Travel-Based Database, Schema, and Table Cloning
  • Getting to Snowpipe
  • PUT and GET instructions
  • loading in bulk from cloud storage
  • ongoing loading
  • Usage cases and the Snowflake Connector Python
  • Use cases for BI connections
  • Additional hands-on connectivity
  • Differential Datatype
  • Options for file formats
  • Establishing phases
  • semi-structured JSON data loading into SF tables
  • Using the choose statement to access JSON
  • Making Assignments

  • Flows

  • gaining access to tasks and processes

  • arranging in accordance with time across many time zones

  • Automate the weekly and daily loading procedure.

  • Data sharing use
  • transferring data between several accounts
  • Using reader accounts to share data with non-SF accounts
  • The value of firsthand accounts
  • Preferences when exchanging data
  • Difficulties in comprehending replication and sharing across regions
  • BI tools connected to shared objects
  • Restrictions on Sharing Data
  • Control Access Rights for Replicated Items
  • Cloning as well as Snowflake Items
  • DDL’s Effect on Cloning
  • Effects of Data Retention and DML on Cloning
  • assembling several individuals on big tables
  • Methods of performance
  • Cache for result sets
  • Cache of metadata
  • Cache for query data

Let Your Certificates Speak


All You Need to Start this Course


Still Having Doubts?

With the help of the cloud-based data warehousing platform Snowflake, companies can affordably and scalable store and analyze massive amounts of data.

Major cloud computing systems such as AWS, Azure, and Google Cloud offer Snowflake. Customers can use more than one cloud provider at once or select their favorite.

  • Overview of Information Sharing
  • Data Sources
  • Getting Information Sharing Started
  • Utilising Shares
  • Utilising Secure Items to Manage Access to Data
  • Handling Reader Accounts
  • Setting Up a Reading Account

Users of Data

  • Synopsis of the Ecosystem
  • The CLI Client, SnowSQL
  • How to Install SnowSQL
  • Setting up SnowSQL
  • Linking Using SnowSQL
  • Employing SnowSQL
  • Driver for JDBC
  • Installing and downloading the JDBC driver
  • Setting Up and Utilising the JDBC Driver
  • Driver Diagnostic Service for JDBC
  • ODBC Driver
  • Downloading the driver for ODBC
  • How to Install and Set Up the Windows ODBC Driver
  • Connection and Configuration Parameters for ODBC
  • Support for ODBC Driver API
  • Driver Diagnostic Service for ODBC
  • Client-Related Matters

Recognising Typical Connectivity Problems

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