Data is right at the core of modern business. From customer communications to business decisions, everything now relies on what the data shows. New and innovative ways to manage, store, collect, and use this data are being looked at by enterprises, which is only obvious as everyone wishes to have that competitive edge.
Data warehouses have become a crucial avenue for taking care of this data, offering organizations the option to consolidate it in a singular repository.
This is where data integration with Snowflake can paint the right picture for your organization’s data management needs.
What is Snowflake?
A fully managed Software as a Service (SaaS), Snowflake is an industry-leading platform for seamless data warehousing in times of the cloud. The highlight of the Snowflake warehouse is that it runs on Microsoft Azure, Google Cloud Platform (GCP), and Amazon Web Services (AWS).
Companies can easily store, manage, and analyze large volumes of data without having to spare even a thought about the infrastructure support that could be needed.
Why Use Snowflake for Data Integration?
If you’re considering Snowflake for your data management requirements, we give you a few reasons why Snowflake should be your top choice:
1. Unlimited Scalability
One of the highest points about Snowflake data warehouse is its ability to scale as and when needed. There’s no fixed size for a Snowflake data warehouse- it can easily handle more and more data as your business gains more traction.
With a robust architecture based on multi-cluster resource isolation, you can add concurrent users and workloads without any performance issues whatsoever. Snowflake data management is also simplified further by its single engine, ensuring a further boost to manage everything from feature engineering and analytics to data pipelines that are complex in nature.
2. Sorted Automation
Automation offers a lot of benefits, but a lot of organizations still find it a little difficult to manage that. Snowflake offers sorted automation features, offering companies to reap the benefits of automation without getting tensed about the complexities the technology might bring.
You can schedule and monitor voluminous data loads, automate database creation and management, and handle everything related to your data, availability, governance, and security needs. Snowflake service offers your company an accurate avenue to go about with your data.
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3. Cross Connectivity
Businesses, in a lot of cases today, have their data spread across various cloud regions, not to mention the different services they avail themselves to make this happen. This diversity hampers clarity about what is exactly going on in the organization. With Snowflake data platform, you get robust cross-region and cross-cloud features to ease connecting your data irrespective of its location.
You get a unified view of the organization and share data sets with others, without worrying about their location.
4. Complete Data Analysis
Snowflake data platform can analyze all the created and stored data in all types, formats, as well as sources. In other words, you can utilize Snowflake to analyze different kinds of machine data such as connected devices and sensors, audio and video files, and even Business Intelligence (BI) loads like Online Transaction Processing (OLTP) databases.
The data platform has been designed in a manner to assist organizations in running advanced analytics on information that’s petabytes or even more in size.
5. Pay-as-You-Go Option
Snowflake data warehouse offers a pay-as-you-go subscription model. This model translates to you paying only for the data, time, and resources you utilize. You can keep the costs in check and stay agile at the same time as your requirements change.
- – Snowflake offers a couple of promising ways to help you reduce costs:
- – Create tables as per your data requirements, and not all-inclusive table types.
- – Feed data incrementally without any additional charges until the tables are ready for use in production.
6. The Leverage of Snowpipe
Snowflake offers a data ingestion service, Snowpipe. As a managed service, Snowpipe loads data constantly in your warehouse, and performs ETL activities like validations and transformations. It’s also cloud-based, which translates to no worries about managing the infrastructure or capacity planning.
This gives you the time where you can keep building the applications needed.
7. Support for SQL
Another big reason why Snowflake data integration platform is a great choice is its SQL support. Organizations can easily query the required data in a suitable and easy-to-understand format. To add to it, Snowflake’s integration with other software apps using this language is completely seamless.
8. No Data Silos and Better Data Sharing
Data silos have been a big pain point for enterprises, but very few of them have been able to successfully tackle the issues. Snowflake comes with a data share feature, enabling complete elimination of data silos through facilitating its users in sharing data securely with other users.
Data sharing through Snowflake is also a seamless activity, by using private databases virtually, only to be accessed by selected personnel.
Wrapping Up
Quick and easy data access in modern business has become a fundamental requirement. Data integration with Snowflake, therefore, becomes a great opportunity for organizations looking to make the most of their data management requirements.
Vertisystem offers an experienced take on offering Snowflake data integration solutions that align harmoniously with your specific needs, helping you reap the maximum benefits from Snowflake in terms of both- the Return on Investment as well as the growth that comes along!
Get in touch with our Snowflake experts today!