In the not-so-distant past, setting up a data warehouse involved buying a specifically designed hardware appliance to run in your data center. Thankfully, this costly, complex and resource-intensive approach is no longer necessary. A Snowflake partner, such as ProCogia, can help you set up and manage this cloud-native platform – which eliminates the need to have separate data warehouses and data lakes – allowing you to share your data efficiently and securely across your entire organization.
What is Snowflake?
Snowflake is a cloud data platform, and their ethos is “Many data workloads. One platform”. As a Snowflake data consultancy, ProCogia can help you benefit from the flexibility and efficiency of this platform. Snowflake runs on top of an AWS, Azure or GCP infrastructure. There’s no hardware or software to manage so you don’t need dedicated resources or inhouse servers. ProCogia’s Snowflake data engineers can quickly and seamlessly migrate your data into Snowflake. The real differentiators in terms of Snowflake data engineering are its architecture and the platform’s inherent ability to share data. Thanks to Snowflake’s unique and innovative architecture, storage and computing power can be scaled independently. This means you can use and pay for your storage and your computation separately. Then the sharing functionality makes it easy to quickly share governed and secure data across your organization in real-time.
Benefits of having a Snowflake partner
With Snowflake data solutions, all those issues associated with legacy hardware-based data storage solutions become a thing of the past. So, you don’t have to deal with limited scalability, data transformation issues, and those pesky delays or failures caused by high query volumes. As your Snowflake data partner, ProCogia’s Snowflake data engineers will ensure you benefit from the following:
Performance improvements
The cloud is more flexible and fluid than traditional on-premise infrastructure. So, whenever you need to load data faster, or run a significantly higher volume of queries, you can simply scale up your virtual warehouse and use the extra compute resources that will always be available. When you’ve finished, you can scale down your virtual warehouse, so you only pay for what you’ve used.
Storage and support for different types of data
A Snowflake partner will help you combine structured and semi-structured data for analysis and load it into the cloud database. There’s no need to convert or transform your data into a fixed relational schema first. Snowflake will automatically optimize the way your data is stored and queried.
Eliminate concurrency issues and improve accessibility
If you currently have a traditional data warehouse with a high number of users or use cases, you may experience concurrency issues. This can result in delays or failures because too many queries are competing for resources. With its unique multi-cluster architecture, Snowflake can address your concurrency issues. Queries from one virtual warehouse won’t have an impact on queries from another, and it’s possible to scale each warehouse up or down as and when. The result is that data analysts can access the data they need as soon as they need it. They’re not left hanging around waiting for loading and processing tasks to complete.
Seamless data sharing
The architecture of Snowflake is designed to enable data sharing among Snowflake users for BI & analytics. It will also give your organization the ability to seamlessly share data with any data consumer. This is regardless of whether a particular data consumer is a Snowflake customer or not, because reader accounts can simply be created directly from the user interface.
Greater availability and security
Snowflake is distributed across availability zones of the cloud platform on which it runs (AWS, Azure or GCP). It is designed to operate continuously and handle component or network failures without impacting availability.
