Snowflake Certification Training

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4627 Reviews 4.9

Learners : 1080

Duration :  30 Days

About Course

Snowflake is one of the most widely used data management platforms in the world. Its analytic data warehouse is offered as Software Service via a cloud-based SQL database engine. To the user, Snow-flake has many similarities to other enterprise data warehouses but also has additional functionality and unique capabilities that make it popular.

Snowflake Training Course Syllabus

✔ How different from traditional DB like (Oracle …)
✔ Quick start to Snow-flake and accessing the trial account C
✔ Creating warehouse, DB, Schema, and tables
✔ Accessing different roles and using it
✔ Working with worksheets
✔ Understanding different types of accounts

✔ AWS and understanding S3 storage
✔ Snowflake architecture and caching
✔ AZURE and understanding blob storage
✔ GCP and understanding of Bucket storage

✔ File formats
✔ Internal and external storage
✔ 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 Datatype
✔ 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 like POWER BI
✔ 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

✔ Introduction to Time Travel
✔ Querying Historical Data
✔ Enabling and Disabling Time Travel
✔ Data Retention Period
✔ Cloning Using Time Travel (Databases, Schemas, and Tables Only)

✔ Creating multi clusters on large tables
✔ Performance techniques

Live Instructor Based Training With Software
Lifetime access and 24×7 support
Certification Oriented content
Hands-On complete Real-time training
Get a certificate on course completion
Flexible Schedules
Live Recorded Videos Access
Study Material Provided

Snowflake Training - Upcoming Batches

7th NOV 2022



Coming Soon



5th NOV 2022



Coming Soon



Don't find suitable time ?


Live Virtual Training

  • Schedule your sessions at your comfortable timings.
  • Instructor-led training, Real-time projects
  • Certification Guidance.

Self-Paced Learning

  • Complete set of live-online training sessions recorded videos.
  • Learn technology at your own pace.
  • Get access for lifetime.

Corporate Training

  • Learn As A Full Day Schedule With Discussions, Exercises,
  • Practical Use Cases
  • Design Your Own Syllabus Based
For Business

Snowflake Training FAQ'S

It is a cloud data-based warehouse that is used as a software as a service. It is made up of unique architecture for dealing with multiple aspects of data and analysis. Snow-flake differs from any other traditional data warehouse solutions with advanced features such as simplicity, improved performance, high concurrency and profitability. The shared data architecture of Snow-flake physically separates calculation and storage, which traditional offerings do not allow. It simplifies the process by allowing companies to store and analyze huge amounts of data with cloud tools. Snowflake transformed the data warehousing industry by allowing all data to be consolidated into one centralized system.

The usual ways to access Snow-flake's data warehouse are:

  • ODBC Drivers
  • JDBC Drivers
  • Python Libraries
  • Web User Interface
  • SnowSQL Command-line Client

Snowflake is natively designed for the cloud and deals with a number of problems that are not solved by conventional warehouse systems. Here are our top 5 benefits from using the Snow-flake data platform:

  • High security
  • High availability
  • Seamless data sharing
  • High-speed performance
  • Concurrency and accessible
  • Handles both structured and unstructured data

Get ahead in your career by learning Snow-flake through VISWA Online Trainings

By default, all the data is compressed in Snowflake. Snow-flake selects the top compression algorithms and cannot be configured by end-users. The best thing about Snowflake is that after compressing the data, Snow-flake charges the customer according to the final size of the compressed data.

Benefits of data compression in snowflake:

  • Storage costs are lower compared to native cloud storage costs due to compression.
  • There is no storage cost for disk caches.
  • Storage overheads close to zero when cloning or sharing data.

  • Cloud Services
  • Compute layer
  • Database Storage
  • Easy data sharing
  • Availability and Security
  • High-speed performance
  • Supports unstructured and
  • structured data
  • Concurrency and Accessibility


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Bodicherla Jagadeeswar
Bodicherla Jagadeeswar
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Penchalakumar Ganji
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Konduru Akhil
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Manikanta Goud
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S Rambabu 6228
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gaddam Manojkumar
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Ramesh Metta
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