Snowflake Testing

Snowflake Testing

Cogniwize’s great data platform presents complete regression,

performance, and functional testing abilities for your Snowflake projects.

Know More

Cogniwize’s great data platform presents complete regression,

performance, and functional testing abilities for your Snowflake projects.

Know More

There was a time when setting up a data warehouse was costly as it needed a hardware appliance that is specifically designed to run on your data center. But today, all you need is Snowflake – a data warehouse that is presented as software-as-a-service (SaaS).

The critical difference between Snowflake and other conventional data warehouses is that it separates data storage and evaluation (handling).

Cogniwize’s great data platform presents complete regression, performance, and functional testing abilities for your Snowflake projects. By leveraging its simple test automation skills, engineers, business analysts, and testers can be more effective, produce accurate reports and install confidence in Enterprise Data systems.

Snowflake’s virtual warehouse offers interim storage, memory, and CPU resources to run DML operations and SQL performance.

Key Features

Any Cloud

Snowflake has an interchangeable and shared code base, which gives global data duplication, ensuring your data can move to any cloud in any area without re-coding your applications to understand additional skills.

Multi-Collection, Combined Data Services

You can enjoy unparalleled scalability and performance with data warehousing, while the data in your data stream benefit from streamlined data engineering and robust channels.

Diverse Data Support

Both structured and semi-structured data are locally loaded and optimized through the Snowflake system, making it accessible without affecting flexibility or performance.

Hands-off Management

As Snowflake runs in the cloud, there’s no physical setup that needs your time or resource to handle it. Instead, optimization, infrastructure, data accessibility, and data security are all managed automatically.

Any Measure of Data, Users and Workloads

The platform allows you to automatically measure and support numerous workloads, data and simultaneous applications and users without moving or copying any data.

Necessary Business Collaboration

With the help of the multi-collection shared data structure, and you can build your own personal data exchanges that can be shared and collaborated with employees, key stakeholders, dealers and partners within a data hub that’s centrally operated.

Key Benefits

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Performance and speed

Due to the flexible nature of the cloud, you scale up your virtual warehouse to benefit from the additional resources for fasting data load or running queries of higher volume. You can always scale it down after, only pay for the time utilized.

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Storage and support

Structured and semi-structured data can be merged, analyzed and loaded into the cloud database without transforming or converting into a fixed relational plan because Snowflake automatically enhances data queried and stored.

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Concurrency and availability

With a conventional data warehouse and many users or use incidents, many resources are being used by queries resulting in setbacks or breakdowns. Snowflake’s exclusive multi-cluster virtual architecture never disturbs the queries from another. As a result, data experts and data engineers can get what they need without waiting for any processing and loading tasks to finish.

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Unified data sharing

Snowflake’s setup allows unified data sharing among its users and any other data consumer even if they are not a Snowflake customer. This is done through reader accounts created from the user interface.

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Availability and security

Snowflake is distributed across all available platform zones that it is run on and is intended to operate endlessly by enduring elements and network breakdowns with marginal effect to clients.

Snowflake Migration Testing with Cogniwize

Cogniwize provides the necessary testing throughout the entire migration process from start to finish. During the migration, it automatically identifies accidental changes from the old to the new data process. Once you are set up on Snowflake, you can use the same assessments to recognize when ongoing system alterations compromise your procedures and information.

Quick scale testing of your migration from any other database

Create tests for 1000’s of tables within minutes

Create data validation reports to sign off on the migration process

Combine the data pipeline via planning or scheduling tools

Being a One-Stop solution with knowledge of the source and goals of an enterprise, our experts take complete responsibility for the delivery and successful migration of your data.

Talk to one of our subject matter expert to know more

Contact Us

Being a One-Stop solution with knowledge of the source and goals of an enterprise, our experts take complete responsibility for the delivery and successful migration of your data.

Talk to one of our subject matter expert to know more

Contact Us