Snowflake Consulting Solutions

ExistBI’s Snowflake Cloud Data Warehouse consulting, support and training supports enterprises through their digital transformation projects and become more data driven.

Benefits of Snowflake

Snowflake is the only data warehouse built for the cloud, with architecture designed to handle large amounts of data to help deliver powerful analytics.

Its unique architecture provides complete relational database support for both structured data, such as CSV files and tables, and semi-structured data, including JSON, Avro, Parquet, all within a single, logically integrated solution. Snowflake is a data warehouse-as-a-service, which requires no management and features separate compute, storage, and cloud services that can scale and change independently.

With Snowflake, metadata is also automatic and does not compete with the resources running queries. This means Snowflake can scale near-linearly as your compute resources scale.

Secure by design and compatible with popular ETL (such as Informatica PowerCenter, Talend, IBM DataStage) and BI tools (such as Tableau, MicroStrategy, Cognos, BusinessObjects), Snowflake enables data warehouse managers to support enterprise-wide data warehouse requirements with virtually unlimited concurrency. It is also a powerful query processing back-end platform for developers creating modern data-driven applications.

Let us help you with your Snowflake project

We offer proven Snowflake Cloud Data Warehouse consulting, implementation, migration, support and training for digital transformation projects. Let us help you succeed!

Star Versus Snowflake Schema

If you are a Data expert who deals with different schemas in data warehouses, you probably already know the importance of these terms.

However, if you are a beginner, you probably don’t know the subjects’ basic knowledge. As a data expert, it is essential for you to understand these basic terminologies, what they mean, and what purpose they serve.

Throughout this article, you will find everything you need to know about schemas in data warehouse. We will discuss their two significant types, Star schema, Snowflake schema, and each’s advantages and challenges.

Explaining Star and Snowflake Schemas in Data Warehouse

Star Vs Snowflake Schema: Which one best fits in Data Warehouse application?

Why use Snowflake over Databricks

While Snowflake and Databricks are both cloud data platforms, Snowflake enables customers to consolidate data into a single source of truth and drive meaningful business insights, build data-driven applications, and share data.

Databricks on the other hand, is focused on enabling data scientists to leverage machine learning applications to analyze data. Reasons you may choose Snowflake over Databricks includes:

Data Warehouse: Snowflake is primarily a data warehousing platform that provides fast, scalable, and secure data storage for structured and semi-structured data. It also offers SQL querying capabilities that make it easy to analyze and extract insights from your data.

Cost-Effective: Snowflake offers a consumption-based pricing model that allows you to pay only for the resources you use, making it more cost-effective for some workloads.

Performance: Snowflake is built for performance and can handle large amounts of data with low latency. It also offers automatic scaling and multi-cluster computing capabilities that enable it to handle concurrent workloads.