Snowflake Data Marketplace

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Snowflake Data Marketplace gives you access to external data from 100+ data sets provided by Data Service Providers.
Why data-driven enterprises do not need traditional ETL/ELT platforms anymore.
The evolution of the modern datahub.

Snowflake Data Marketplace

Snowflake Data Marketplace gives you access to external data (data stored outside the Snowflake server) from 100+ data sets provided by Data Service Providers via Snowflake’s Secure Data Sharing. Lyftrondata leverages Snowflake’s role-based security to ensure that sensitive data remains secure. Lyftrondata allows users to focus on their data discovery and integration efforts.
Snowflake offers Secure Data Sharing, a connection between data providers and consumers (i.e., the users who need the external data to run queries and reports on their datasets). Customers can “discover” and connect with third-party data vendors, consume that data directly from Snowflake in various formats like tables or blobs, and combine it with their dataset without making any changes to solve analytical problems. This allows customers to access several different types of files to meet all of their business needs. If they use several other external vendors to store data, the Data Marketplace will ensure they go through just one system instead of getting access to all this data. They’ll be able to find everything they need as part of a single package from Snowflake! Customers may also “provide” their datasets for other more specific purposes – like monetizing the information they have by making it available via the marketplace.

What is Lyftrondata?

Lyftrondata is a No-Code/Low-Code modern data fabric solution that allows the user to manage all their data workloads from one place. It provides full SQL, BI, and machine learning support so you can easily analyze the data. With Lyftrondata’s self-service capabilities, data engineers and analysts can conduct their research as they:
  • Use No-Code/Low-Code to automatically create data pipelines, data virtualization, and data governance.
  • Use SQL queries, BI, and machine learning technologies to analyze any data.
  • Transform any data into a standardized ANSI SQL model automatically.
  • Without any coding experience, do cross-platform joins and run rapid/fast queries on the unified sources using APIs, No SQL, JSON, XML, and other databases/cloud warehouses.
How Lyftrondata works with Snowflake?

The additional disc space required for data loading into Snowflake proved to be a significant barrier in the data pipeline. Lyftrondata makes use of Snowflake’s data streaming API to provide a novel approach to data loading into the Snowflake Data Warehouse. Data is loaded from a data source, then SQL expressions are used to apply data transformations, and the changed data is fed straight into Snowflake. As a result, data loading is speedy and there’s no need to worry about temporary files taking up space. Lyftrondata brings down chosen SQL transformations straight to data sources to decrease the quantity of data that must be exchanged.
A Snowflake data warehouse gives Lyftrondata the use of its data warehousing API. Datawarehousing APIs eliminate much of the manual work in data warehousing. Lyftrondata connects with a Snowflake Data Warehouse to provide users with access to the data they need to create compelling business intelligence projects. Lyftrondata masks and virtualizes Snowflake tables from other databases, freeing them for use in cross-examination studies and individualized research projects. Users can share this information with those who want to learn about what’s available on Lyftrondata.

Lyft, shift and load any data into Snowflake instantly

Data Listings in Snowflake

There are two types of data listings:
1. Standard Listing
2. Personalized Listing
A standard listing provides instant access to public data without any customization needed. This is the default type of listing. Standard listings can be suitable for providing generic, aggregated, or non-customer-specific data and any kind of list that doesn’t require customized visualizations to analyze or consume.
You can choose from the following filter options by clicking on “Filters“:
Ready to Query
Recently published
Since standard listings should be ready to query, you can click the button “Ready to Query” to see all Standard Listings, which only shows data that is available for you to query.
Each standard listing includes information about the shared data, sample queries, and data provider information. To get data from a typical data listing, for example, if you want to get data from any standard data listing, you can click on the dataset, which will bring up a prompt

  • You click the "Get Data" button, which takes you to a screen where you may name the database for Snowflake users and agree to the provider's and Snowflake's terms of service.
  • The database is created in the Snowflake account's Databases page as soon as you click "Get Data."
  • When it's finished, another window appears, indicating that the data is available to query.
  • To access the data, click the "Query Data" button, which opens a spreadsheet where you may build a query to query the data.
  • Customers can request specific data sets from a tailored listing. This could be premium data that a supplier charges for or data that is unique to each customer. Each personalized listing provides information about the shared data, sample usage examples, and the data provider's contact information. The customized listings do not have their filter. You can view all ads and then select those with the “Personalized” tag or a specific category from the list.
  • Click on the data set with the “Personalized” tag, such as the “Healthcare Professionals” data set, to get data from a personalized listing. You must submit a request as a consumer by clicking the Request button.
  • It opens a window where you can enter your contact information.
  • The data supplier is notified after a request is submitted. The consumer is then contacted by the provider. Commercial agreements vary depending on the data provider. After that has been agreed upon, the customized data set is prepared and provided to the customer.

How Lyftrondata helps to transform your Snowflake journey

Becoming a Snowflake Provider
To join the Snowflake Data Marketplace as a provider, just follow these three basic steps
Step 1: Join the snowflake data marketplace by submitting a request.
You can apply to be a provider on the website or through the product interface.
You can apply for the session “WANT TO BECOME A SNOWFLAKE DATA MARKETPLACE PARTNER?” by scrolling down to the bottom of the page and clicking on “Apply Here” from
Hit Marketplace from your account UI, scroll down to the bottom where it reads “interested in being a data provider?” and click the “Get in touch” button. Both methods will take you to the same page where you can fill in your contact information.
Step 2: Becoming an approved provider
Customers must first become approved data providers before they can list a data set on the Snowflake Data Marketplace. The approval is a one-time process that ensures:
  1. Customers are in the supported territories.
  2. The Snowflake Provider agreement has been signed by the customer.
  3. Snowflake’s data requirements are met. To comply with the rules, shared data must be:
    • Fresh — the data is near real-time or updated regularly.
    • Real — not sample data.
    • Legally shareable — the customer must own the data or have the right to share it.
Step 3: Configure your Provider Profile
To configure your provider profile, you must first create one. You can change or delete your profile once it has been created. Please log in to the Snowflake Web Interface as an ACCOUNT ADMIN or a role with the Global CREATE DATA EXCHANGE LISTING Privilege to create a Provider Profile.
A provider profile can be edited at any time. Before the modifications may be seen in the Marketplace, Snowflake must approve the updated profile. The profile adjustments are reflected for all listings related to the profile once they have been authorized. You can also delete a provider profile if it isn’t linked to any listings, whether published or unpublished.
Users can accelerate their cloud adoption, save time and money, and take advantage of the data trusts and the trustless exchange process that has been built by LyftronData’s Data Sharing. Lyftrondata enables data providers to monetize their data more effectively; The Snowflake Data Marketplace provides a unique opportunity to discover and purchase data sets from the industry’s leading suppliers, which in turn makes it easier to build data-driven applications and unlock the hidden value of your enterprise data.

Intended, fabricated, and plotted for Snowflake

Lyftrondata makes it easier for Snowflake engineers to build data pipelines. They no longer have to spend precious time structuring their data manually, and they can access their data more quickly by using real-time ANSI SQL. Lyftrondata prebuilt connectors bring data into normalized warehouses so analysts have ready-to-query schemas of all the company’s datasets, along with a full search on metadata.

How Lyftrondata integrates with Snowflake in six different ways:

Lyftrondata connects with Snowflake in six distinct ways to help enterprise customers:
Lyftrondata links to a Snowflake Data Warehouse directly and normalizes the data, allowing for simple querying. The customer can then analyze the data using a centralized converted data repository.
Lyftrondata can then have a REST Application Programming Interface (API) that allows the end-user to query all of the tables as JSON and access the Snowflake data that is saved in the user’s Lyftrondata account via REST protocol.
Lyftrondata provides data virtualization capabilities on top of a Snowflake data warehouse, allowing customers to perform cross-platform analysis between Snowflake and other data providers like APIs, relational databases, NoSQL, other cloud data warehouses, CRM, ERP, and more.
Users can apply access privileges as granular as column-level based on the user or responsibilities, and even apply row-level encryption based on the sensitivity of the data, thanks to Lyftrondata’s data governance capabilities on Snowflake data.
Lyftrondata extends the Snowflake cloud data warehouse’s data catalogue and lineage capabilities by allowing users to tag items such as schema, table, database, column, pipeline, and so on, and then search the metadata based on their needs.
Users can welcome consumers to the platform and grant them access to the database, schema, table, or columns with Lyftrondata’s data-sharing capabilities. Users can access the Lyftrondata portal and perform simple data analysis. They can also construct a data pipeline to load the modified data into their centralized system.

Lyftrondata's value propositions that set it apart from traditional ETL/ELT platforms for modern data warehouse modernization & migration

Lyftrondata allows for seamless BI Report & Analytics connectivity to different data sets, including SaaS-based ones! Lyftrondata accepts SQL queries, translates them, and forwards them (pushes down) to the Snowflake database. As a result, BI tools can connect directly to Lyftrondata (a LIVE data mart!). From there on out, all of your reports and analytics can be done both on-premises or directly within Lyftrondata. The solution also offers the ability to query data stored in Microsoft SQL databases, which is ideal for cases where companies are either migrating from SQL Server or still using it as their primary repository of structured data. This particular feature will ensure that any preexisting BI tools you’ve implemented that rely on directly querying MSQL databases can work with Lyftrondata without requiring changes.

Let’s get personal: See Lyftrondata on your data in a live demo

Schedule a free, no-strings-attached demo to discover how Lyftron can radically simplify data lake ETL in your organization.

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