by Zaveria K October 2, 2022

Snowflake Data Cloud: The most scalable and flexible platform for security concerns

The Snowflake Data Cloud is a complete solution for all data analytics use cases, as it has a plethora of built-in features and facilitates simple connections with third-party applications. The technology developed by Snowflake is generally used for cloud-based data analysis and data science. Snowflake provides a modern cloud-based data platform.

Compared to other conventional and cloud data warehouses, Snowflake is faster, easier to use, and more versatile. Its multi-cluster design solves concurrency issues including delays and failures. With a robust and flexible procedure for operations, from data consumption to monetization, the platform enables secure data exchange. The company is also trying to show that it has a lot to offer in the area of ​​cybersecurity, which is increasingly seen as a data issue. The main features of Snowflake that distinguish it from its rivals are discussed in the article. Snowflake runs entirely on cloud infrastructure.

What is the Snowflake Data Cloud?

For all your data, Snowflake offers an industry-leading cloud data platform. This article shows what a somewhat ambitious claim that is.

The Snowflake Data Cloud is capable of handling a wide range of workloads, including data engineering, data lake, data science, applications, and data sharing and exchange. It offers a wide range of solutions for data processing, data integration and analysis.

Snowflake Data Cloud: Advanced Software as a Service (SaaS)

The Snowflake Data Cloud is a true SaaS solution. You may not choose, install, configure or control any virtual or physical hardware. It also handles ongoing monitoring, adjustments and maintenance.

Snowflake is completely powered by cloud computing. For its computing needs and data storage services, it uses a virtual compute instance. It can be used by customers as a true pay-as-you-go platform for their compute and storage needs.

Main characteristics:

It offers various features which include-

Security and data protection

•Performance monitoring

•Backup and recovery

• Data governance

Security and data protection

For the modern data-driven enterprise, data protection is a major concern as it protects sensitive information against loss and/or corruption. It is intended to protect user data from intrusions at different levels of data architecture, including the cloud platform. Therefore, Snowflake uses two-factor authentication, encrypted (client-side) data import and export, secure data transit and storage, and role-based access control for database objects. of data. It ensures that data is always encrypted, both when at rest and when being sent.

Performance monitoring

A query load chart for concurrent query processing of a two-week warehouse is provided by the Snowflake web interface. The average number of requests that were active or in the queue at any given time is called the warehouse request load. By querying account usage, you can change the time period and time interval used to evaluate warehouse performance. Using the Snowsight dashboard or other reporting tools, we can review and track account activity.

Backup and recovery

Time Travel, a unique feature of Snowflake’s backup system, allows you to view data for the chosen date. Additionally, Snowflake protects your data with its failsafe feature, which allows Snowflake Support to recover data for you during the failsafe window, in the event of a system failure or other catastrophic incident. As part of time travel, data history is retained for up to 90 days.

Data governance

With the help of the Snowflake data governance tool, your business can protect critical information from unauthorized access and manipulation. It helps to achieve and maintain regulatory compliance. These technologies facilitate various tasks, including risk assessment, intrusion detection, monitoring and notification, data masking, data cataloging, task scheduling, data lineage, and more. The Snowflake Platform and its broad partner ecosystem, which includes data governance specialists, provide a solid framework for better data governance.

Data masking

A dynamic data masking feature offered by Snowflake allows users to mask their private information when sharing it with others. A policy can be created once and applied to thousands of columns in different databases and schemas. Snowflake’s VARIANT data type field, which stores data in JSON format, is supported by data masking. Additionally, Snowflake helps you hide data on external tables and several other common file formats such as CSV, Avro, ORC, and Parquet. Customers can write their authorization logic as declarative policies using Snowflake’s versatile and extensible policy framework.

Scheduling tasks

Snowflake has a feature called Assignments that allows users to organize their daily tasks at any time.

Data lineage

Many data lineage tools can be integrated by Snowflake inside and outside of its partner network.

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