Snowflake Certification Training
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Learners : 1080
About Course
One of the most popular data management platforms in use today is called Snowflake. Through a cloud-based SQL database engine, it provides access to its analytic data warehouse as Software Service. Although Snow-flake offers many features in common with other commercial data warehouses, its added functionality and distinctive qualities are what make it so popular with users.
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 |
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Live Virtual Training
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Schedule your sessions at your comfortable timings.
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Instructor-led training, Real-time projects
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Certification Guidance.
Self-Paced Learning
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Complete set of live-online training sessions recorded videos.
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Learn technology at your own pace.
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Get access for lifetime.
Corporate Training
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Learn As A Full Day Schedule With Discussions, Exercises,
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Practical Use Cases
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Design Your Own Syllabus Based
Snowflake Training FAQ'S
It is a software as a service that uses a cloud-based data warehouse. It has a distinctive architecture that allows it to handle various data and analytical issues. The sophisticated features of Snow-flake set it apart from other conventional data warehousing solutions, including their simplicity, enhanced performance, high concurrency, and profitability. Calculation and storage can be physically separated thanks to Snow-flake’s shared data architecture, which is not possible with conventional solutions. By enabling businesses to use cloud tools to store and analyze massive volumes of data, the process is made simpler. Snowflake revolutionized the data warehousing sector by enabling the collection of all data into a single, 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
