Snowflake Data Marketplace

You can access external data—data kept off of the Snowflake server—from over 100 data sets that Data Service Providers have made available to you through Snowflake's Secure Data Sharing through the Snowflake Data Marketplace. Lyftrondata uses Snowflake's role-based security to guarantee the security of sensitive information. Users can concentrate on their data integration and discovery tasks with Lyftrondata.

Data producers and consumers—i.e., users who require external data to perform queries and reports on their datasets—can connect via Snowflake's Secure Data Sharing service. To solve analytical challenges, customers can "discover" and connect with third-party data providers, consume the data straight from Snowflake in a variety of forms, such as tables or blobs, and merge it with their dataset without making any changes.

Customers can now access a variety of file kinds to suit all of their business requirements. The Data Marketplace will make sure that they only go through one system rather than gaining access to all of this data if they employ several external providers to store data. Snowflake will be able to provide them with all they require in one package! Additionally, users can "provide" their datasets for more specialized uses, such as monetizing their information by offering it for sale on a marketplace.

Describe Lyftrondata

Lyftrondata is a cutting-edge No-Code/Low-Code data fabric solution that lets users handle all of their data tasks from a single location. For simple data analysis, it offers complete support for SQL, BI, and machine learning. The self-service features of Lyftrondata enable data engineers and analysts to carry out their research as they:

To automatically establish data virtualization , data governance , and data pipelines , use No-Code/Low-Code.

To examine any type of data, use machine learning, BI, and SQL queries.

Convert any data automatically into a standardized ANSI SQL model.

Perform cross-platform joins and quick/fast queries on the unified sources using APIs, No SQL, JSON, XML, and other databases/cloud warehouses without coding knowledge.

How does Snowflake and Lyftrondata interact?

One of the biggest obstacles in the data pipeline turned out to be the extra disc space needed for data loading into Snowflake. Lyftrondata offers a unique method of loading data into the Snowflake Data Warehouse by utilizing the data streaming API provided by Snowflake. After data is loaded from a data source and transformed using SQL expressions, the updated data is fed directly into Snowflake. As a result, there is no need to worry about temporary files taking up space, and data loading is quick. By bringing selected SQL transformations directly to data sources, Lyftrondata reduces the amount of data that needs to be transferred.

Lyftrondata has access to a Snowflake data warehouse's data warehousing API. The majority of the manual labor in data warehousing is eliminated by data warehousing APIs. Users can obtain the data required to produce engaging business intelligence projects by connecting Lyftrondata to a Snowflake Data Warehouse. To make Snowflake tables available for use in cross-examination studies and customized research projects, Lyftrondata masks and virtualizes them from other databases. Users who wish to notify others about the resources available on Lyftrondata can do so by sharing this information.

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.

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 snowflake.com/data-marketplace 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 https://www.snowflake.com/data-marketplace/ .

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:

Data pipeline

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.

API data hub

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.

Data virtualization

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.

Data governance

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.

Data catalog & lineage

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.

Data sharing

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.