We use it in the process of collecting access revenue data from various vendors. Our next step involves integrating this data into Snowflake tables, after which we present it through dashboards for visualization and analysis.
Technical Lead at a computer software company with 10,001+ employees
Real User
Top 10
2024-02-13T16:27:00Z
Feb 13, 2024
Snowflake's automatic optimization and scalability impressed us during POCs. Now, we store our data lake data in Snowflake, seamlessly integrating it with Azure Databricks for business transformations, ensuring smooth analytics processes.
It's primarily used for data migration, platform organization, and advanced analytics. As an Elite Partner, we provide consulting services to various customers.
We use it for our full application operational analytics, including building, storing, and analyzing the data. It provides us with detailed insight, making it easy to extract needed reports. Everything related to business intelligence, whether it's reporting or analytical modules, is stored on the Snowflake Analytics platform.
There are a lot of use cases for Snowflake. We can use it to build data pipelines. We can also use it to process terabytes of data to generate real-time analytics.
Data Engineer at a tech services company with 51-200 employees
Real User
Top 20
2022-09-30T12:17:33Z
Sep 30, 2022
We use Snowflake Analytics to organize data. We create a fact and dimension table, relate it using its cardinality, load it from the source and use it for reporting.
The solution is a flexible data warehouse. It can be used for computing and storage. There's also the potential for automation. With Snowflake, you can use the same copy in multiple places. Once your data is on Snowflake, you can have that data differential to reportings. You can start using the analytics on top of it as well.
Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.
To achieve this, we built a new data platform from the ground up for the cloud. It’s designed with a patented new architecture to be the...
We use it in the process of collecting access revenue data from various vendors. Our next step involves integrating this data into Snowflake tables, after which we present it through dashboards for visualization and analysis.
I use the tool for data warehousing, analytics, and machine learning.
Snowflake's automatic optimization and scalability impressed us during POCs. Now, we store our data lake data in Snowflake, seamlessly integrating it with Azure Databricks for business transformations, ensuring smooth analytics processes.
We use it for tasks related to aggregate functions and statistical analysis.
It's primarily used for data migration, platform organization, and advanced analytics. As an Elite Partner, we provide consulting services to various customers.
It is a cloud data warehouse. We use the solution in our organization for setting up data warehouses, building tables, and querying from the tables.
We use it for our full application operational analytics, including building, storing, and analyzing the data. It provides us with detailed insight, making it easy to extract needed reports. Everything related to business intelligence, whether it's reporting or analytical modules, is stored on the Snowflake Analytics platform.
We use Snowflake Analytics for data cataloging, data science, and managing sales development.
My company uses Snowflake Analytics for data lake, data warehouse, data mart, and other related stuff.
We use the product to generate insights.
There are a lot of use cases for Snowflake. We can use it to build data pipelines. We can also use it to process terabytes of data to generate real-time analytics.
We use Snowflake Analytics to organize data. We create a fact and dimension table, relate it using its cardinality, load it from the source and use it for reporting.
We use the Snowflake platform for analytics and for data integration. We are partners with Snowflake. I'm the managing director.
Snowflake Analytics is used for data warehousing, reporting, and analytics.
The solution is a flexible data warehouse. It can be used for computing and storage. There's also the potential for automation. With Snowflake, you can use the same copy in multiple places. Once your data is on Snowflake, you can have that data differential to reportings. You can start using the analytics on top of it as well.
I mainly use Snowflake Analytics for Power BI reports.