Snowflake Online Training

Snowflake Online Training course from Course Dx will make you master the fundamentals of data warehousing capabilities as well as dealing with data and analytics, Our best online training course teaches you all important concepts like snowflake objects, cloning, undrop, fail-safe and analytics solutions.  At the end of this Snowflake certification training program, you will work on two useful real-time projects. Also, our Snowflake course curriculum will equip you with all the key skills that are required to clear the Snowflake Certification exam

Choose The Training That's Best For You

LIVE ONLINE TRAINING

  • High-quality content created by industry experts
  • Lifetime access to high-quality self-paced learning and live online class recordings
  • Flexible, affordable options
  • Get complete certification guidance
  • 24×7 assistance and support
  • Attend a Snowflake Online Course free demo before signing up

CORPORATE TRAINING

  • Self-Paced / Live Online training options
  • Flexible, affordable options
  • Learn as per full day schedule and/or flexible timings
  • Customize your own course content based on your project requirements
  • Get complete certification guidance
  • 24×7 assistance and support

SELF-PACED LEARNING

  • 40 hours high-quality video
  • 2 projects
  • 20 downloadable resource
  • Lifetime access and 24×7 support
  • Access on your computer or mobile

Snowflake Online Training Upcoming Batches

Weekday

11, JAN 2021
Time: 7:00PM IST

Weekend

16, JAN 2021
Time: 7:00PM IST

FastTrack

16, JAN 2021
Time: 7:00PM IST

Don’t find suitable time ?

₹ 22500

SELF-PACED LEARNING

  • 40 hours high-quality video
  • 2 projects
  • 20 downloadable resource
  • Lifetime access and 24×7 support
  • Access on your computer or mobile

1
Snowflake Environment Setup
  • Creating snowflake trail account
  • Snowflake web console introduction
  • Login to snowflake from snowflake cli
  • Creating database and table and intro to sample data.
2
Snowflake Architecture
  • Snowflake architecture introduction
  • Shared disk architecture
  • Shared nothing architecture
  • Caching in snowflake
3
Clustering in Snowflake
  • Query processing in snowflake.
  • Micro partitions in snowflake.
  • Applying clustering
  • Checking clustering information and how it works
  •  Manual re-clustering and choose clustering keys
4
Virtual warehouse creation
  • Introduction to virtual warehouse.
  •  Virtual warehouse creation and scaling policy
  • Performance tuning in snowflake.
  • How query optimization works.
  • Concurrency control.
  • No constraints.
5
Loading data in snowflake
  • Introduction to stages and configuring connection
  • Types of Internal Stage
  • Introduction to stage object , file format and copy command
  • Upload data using web console.
  • Create aws account.
  • Create aws s3 bucke,t s3 policy, aws role.
  • Create snowflake integration.
  • Upload data to aws s3 using aws web console and cli.
  • Query aws from snowflake.
  • Load data from s3 to snowflake.
  • Unload data to s3
  • Other options to copy.
  • Create azure account
  • Connecting snowflake to azure blob storage
  • Unload Query and Load parquet data from azure
6
Copy options
  • Validate before loading data to table.
  • File level options.
  • Collecting rejected records from copy command.
  • Enforce and Truncate column option.
  • Force and purge option.
  • Load history and copy history views
7
Working with copy command
  • Preparing and Load Sample Data
  • Copy command performance
  • Snow pipe introduction and Demo
8
Data sharing in snowflake
  • Data Sharing
  • Creating views (Secure and Normal View)
  • Creating snowflake reader account
  • Configure reader account
  • Restriction on reader account
  • Data share significance
9
Time Travel in snowflake
  • Time travel demo
  • Time travel in snowflake and how it works
  • Table retention period
10
Fail safe in snowflake

 Fail safe in snowflake.

 Access fail safe from web console.

Relation between fail safe and retention period.

Table types in snowflake.

Permanent table and failsafe.

Transient table.

Temporary table.

Creating transient database in snowflake.

11
Clone feature in snowflake
  • Clone feature and Table Swap
12
Data sampling in snowflake
  • Row vs Block sampling.
  • Sampling Demo
  • Clone vs Sampling
13
Scheduling in snowflake
  • Tasks and Task Dependencies
14
Streaming in snowflake
  • Introduction to streams.
  • Streaming Hands-on
  • Types of Stream and Change Clause
  • SCD in Snowflake
15
Materialized views
  • Introduction to Materialized view
  •  MV maintenance 
16
Snowflake best practices
Yes, you can schedule your AI Certification Training in all Time Zones and we also offer training sessions with the US, UK, Australia, & Europe based trainers on Weekends and Weekdays.
Our expert trainer will provide the server access to the Snowflake Online Course aspirants. Moreover, you will get practical training on Artificial Intelligence with live sessions that cover all your training needs about the course along with the Project.
Even if you have missed a class for the Snowflake Training, then you can watch it as a recorded video within your LMS or attend the same in another live batch.
Our Snowflake online Course trainer is a certified consultant and at present, he is working on a project within this technology and he is experienced too.
Yes, we will help you in getting certified in the Snowflake Course and we promise you that after completing our online training program, you will get a certificate in the technology for sure.
Our expert Snowflake Online Course trainer will explain to you the subject and project work in detail on the software itself with live training. Each training batch of candidates is a software team within our Snowflake online training program and project work is offered to them. After the completion of the project work in the Snowflake field, the training will be complete for the students. So, the trainees can feel the real-time IT company environment during our Snowflake training program, where our trainer is a Team Leader.

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Lectures: 16