Part 1: How the Snowflake Cloud Data Platform transforms organization?

By Mike Sargo

Chief Data and Analytics Officer and Co-Founder of Data Ideology  

The Snowflake Cloud Data Platform is one platform to build all your organization's data apps.

The advantages of leveraging Snowflake as your modern cloud data platform differs among the specific use cases of your organization. Here are some of the critical capabilities that can help transform your organization:

Store all your data

Snowflake can store semi-structured data such as JSON, Avro, ORC, Parquet, and XML in addition to your relational data. Snowflake has the capability to allow users and applications to query all this data with standard ANSI standard SQL. Many of our customers like this feature so their teams can leverage their existing SQL query skills.

Support all your users

The Snowflake data platform shines by delivering the ability to support multiple concurrent use cases and queries. Some data warehouse platforms have concurrency limits. This means you'll have some challenges to overcome if you plan on having high concurrency. Snowflake has ability to have independent virtual warehouses which are essentially separate compute clusters which can reference your common data. The virtual warehouses can scale up or down on the fly in addition to turning them off if you don't need them.

Pay only for what you use

Snowflakes was built for the cloud from the ground up, which has an architecture the can scale storage separately from compute up and down. This transparent process happens automatically, so you truly only pay for what you use. Snowflake brings unparalleled flexibility and scalability to data warehousing. The simple Snowflake pricing model enables these capabilities at a low cost with per-second, usage-based pricing for compute and storage.

Benefits from near-zero management

Snowflake almost eliminates the administration and management requirements of traditional data platforms and big data solutions. The Snowflake Cloud Data Platform is a pure data platform-as-a-service, running in the cloud. 

Snowflake automatically handles the management of the infrastructure, built-in performance optimization (indexing and tuning), availability, securing & data protection, and everything else, so you can focus on leveraging your data so your team can focus on delivering value to your business users.

Use Standard SQL

Snowflake leverages the standard ANSI SQL query language, which can enable you to get up and to run much faster as most organizations already have this SQL skillset in house. It also enables you to query, transform easily, and modify data or to connect Snowflake with other tools as need along with the capability to modify, drop, undrop, and insert or delete like you would with any standard RDBMS.

Enjoy "Load and go" ease of use

Snowflake has native support for structured and semi-structured data in a SQL data warehouse, which means you can load data and start analyzing it with no additional transformation required.

This is part 1 of 2 covering the capabilities of the Snowflake Cloud Data Platform. Snowflake provides distinct user experiences for interacting with the data for a data engineer, data analyst, and business analysts. 

Written by Mike Sargo
Mike Sargo is Chief Data and Analytics Officer and Co-Founder of Data Ideology with over 18 years of experience leading, architecting, implementing, and delivering enterprise analytics, business intelligence, and enterprise data management solutions.

Snowflake vs Azure E-Book

Data Ideology has created a Free Comprehensive E-Book that highlights many of the key differences, advantages and disadvantages to consider when starting your Cloud Data Migration Journey.


Before you start, you’ll want to make sure you’ve thought of everything. 


Snowflake Data Migration can be quite the undertaking.  Use this Snowflake Data Migration Blueprint as a reference to make sure you’re prepared for every aspect of your project. 


Pitfalls to Avoid when implementing Health Information Exchange

In recent years, Health Information Exchange (HIE) capabilities have helped mobilize patient data allowing clinicians and healthcare managers to provide near real time diagnosis closing the gap on member care.

Scrum Master Best Practices to Accelerate Data Projects

Scrum is a Delivery Framework, under the Agile umbrella, that can accelerate initiatives, breakdown data silos, and bring organizations together as a team to progress any project. Individuals certified in Scrum are known as Scrum Masters.

Surprise! Payers’ Data Struggles with the No Surprises Act

In late December of 2020, bi-partisan legislation known as the No Surprises Act was passed by the U.S. government. The main purpose of the bill is to eliminate surprise medical costs for out-of-network services.