Snowflake Cloud: How to Take Control of Your Data
Credits: Brett Sayles
In a world where information is everything, taking control of your data has become as accessible as it is crucial. Many storage and database options are available, and the Snowflake cloud data platform is one worth looking into.
If you’re looking to get back control of your data, here’s how Snowflake cloud services can help.
Compartmentalize Data in Snowflake Cloud
Before anything else, what is the Snowflake database?
Snowflake database is a cloud-based data warehouse, which is essentially a multi-cluster of computing resources in one platform programmable to work as a conventional database. It eliminates the need to set up multiple on-premise databases or use many cloud-based tools.
With multiple virtual warehouses within your Snowflake data cloud, you can designate a warehouse for each application: You can load data to a separate, independent location within the same Snowflake ecosystem. It eliminates the risks of overloading a single database with increased traffic and reduces human errors relating to data management.
Also, virtual databases only require minimal effort for upkeep and maintenance from your database administration and IT teams. Snowflake also facilitates automatic data sharing by ensuring that these discrete units can securely share data.
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Automate Data Warehousing Processes
Human error can cause extensive damage to your data warehouse, regardless of whether it’s on-premise or on the cloud. Even for a database warehouse as a service (DWaaS) solution, a mistake in operation could open your platform up to vulnerabilities and result in downtime or, worse, financial losses for the company.
Thankfully, the Snowflake cloud data warehouse has several features that let you automate certain processes. With these solutions, your team can focus on more important and more demanding tasks. Below are some of these features:
- Built-in Support for Structured and Semi-Structured Data
The unique architecture of the Snowflake implementation allows for the automated handling of structured and semi-structured data sets. Teams need to develop additional processes to receive, parse, process, and store semi-structured data in a conventional database. Snowflake does it automatically.
- Auto-suspend Feature
When switched on, this feature automatically closes the clusters of a virtual warehouse after a set time of inactivity. However, it doesn’t indiscriminately cut off its services. Instead, it resolves active queries before starting to shut down compute resources allocated to it.
Data storage and compute resources are automatically adjusted to meet changing traffic, and it applies to each of your virtual warehouses. Depending on predetermined events or triggers, Snowflake DB opens and closes additional data clusters—all without the need for human intervention.
- Dropping Support for Indexing
Snowflake is ideal for addressing arbitrary queries because it no longer needs data indexing. Instead, it automatically computes statistical possibilities based on available historical data. This information is used to identify the resources needed to address that query.
Additionally, having no use for indexing means that your teams no longer have to perform periodic table indexing. It also eliminates the need to perform database tuning and calibration now and then.
It’s also important to note that most of these automation solutions allow your warehouses to make decisions in real-time, without DBA and IT teams getting involved after implementation. Similarly, since Snowflake cloud services are offered as a DWaas, their in-house teams are in charge of the updating, maintenance, repair, and overall upkeep of their environment.
Credits: Kevin Ku
A database is a repository of information, often those confidential and critical to a business’s processes. Maintaining control of your data necessitates controlling who can access what type of data.
Most companies have adopted a remote working arrangement for their employees in the new normal. IT means that team members will need to access data from an external location. Snowflake-hosted databases allow site access control through the use of internet protocol (IP) for creating allow and block lists.
Additionally, it offers a range of account and user authentication strategies to meet your unique needs. The DWaaS provider allows key pair authentication and rotation for more secure applications, which is a best practice in cybersecurity circles.
Even for team members navigating inside your localized environment, you can implement object security by controlling access to all objects. Snowflake users are restricted to specific warehouses, datasets, and tables to view, edit, or access. Users are given increased versatility regarding object control by using a hybrid between role-based access and discretionary access.
Of course, you can rest assured that the entire Snowflake cloud service suite is safe from external threats. There is traceable and verifiable documentation about its data security measures in compliance with Soc 1 Type II and Soc 2 Type II requirements. It supports HIPAA compliance, an important requirement for businesses handling sensitive patient information.
Is Snowflake Cloud Worth It?
In an automated environment, it’s easy to forget that it’s still possible to take control of how your data is processed, managed, stored, and accessed. Snowflake Cloud is worth every penny. You can choose who can access your information and gain control over processes to help ensure that errors and risks are minimized.
Besides, Snowflake is among the key players in the growing global data warehousing market, which could reach $51.18 billion by 2028 at a 10.7% CAGR.
If you need help implementing or maintaining a Snowflake data warehouse, Ideas2IT has the engineers for the job. Ideas2IT has engineers around the world, allowing us to work around the clock on your software projects. Our engineers are Snowflake-certified and can deploy in less than 48 hours.
Contact Ideas2IT today to get started.