Snowflake recently introduced many updates to its data cloud platform to enhance developer productivity, accelerate query performance, and facilitate multi-cloud collaboration. Snowflake published "we've been constantly improving the data cloud in 2020 with features that will make it simpler for businesses to run operational workloads, business intelligence, and data analytics."
The Snowflake Data Cloud unveiled its preview in June. Table hybrid from Unistore a mix of transactional and analytical workloads, as well as the Apache Iceberg data lake table format. At the data cloud platform's Snowday 2022 conference in person in San Francisco, updates were unveiled, such as Snowflake Query Acceleration, which promises to speed up huge searches by giving the heaviest queries more processing capacity. Contains a free preview of the service for everyone. Snowflake now supports Python, an open-source programming language, following a year of previewing it, according to Snow Park Developer Services at the Snowflake data cloud.
According to Kleinerman, the company's Snowgrid service, which supports AWS, Microsoft Azure, and Google Cloud, connects all customer deployments and Snowflake instances across numerous geographies and clouds.
More cross-cloud collaboration, data governance, and business continuity support features have since been introduced to Snowgrid by the vendor.
With the new pipeline failover features, customers may now duplicate streams and tasks as well as accounts, databases, policies, and metadata in Snowflake across various clouds and geographies.
Before the conference, Snowflake users engaged in a streaming media session to talk about their experiences using the platform and recent changes. Fabio Luzzi, vice president of data science and engineering at the tapestry, who runs several fashion companies like coach, kate spade, and Stuart Weitzman, is one of the users.
In addition to assisting businesses in managing their supply chain operations, Tapestry has hundreds of data sources that support corporate applications, including customer-facing use cases like the company's loyalty programs and call centers.
How can we monetize it has always been our vision. How to exploit data assets for the maximum financial impact our data strategy is centered around Snowflake.
Luzzi claims that Tapestry employs Snowflake as the basis for a data interchange layer that aids in streamlining the business processes.
Tapestry uses Snowflake because it can operate on different clouds, which is one of its applications. The Snowgrid service has now expanded this functionality.
We find it interesting to have strong data-related solutions that are independent of any one cloud and unreliant on it, added Luzzi.
Saks Fifth Avenue's head of data, Veronika Durgin, stated that the situation at her company is comparable.
According to Durgin, Saks uses Snowflake to power its platform and host all of its data for safe and convenient access data.
In addition to using Snowflake as a data integration tool, Saks also uses it for machine learning and data analytics. Saks used Snowflake data, for instance, to fuel user personalization and enhance the shopping experience.
Users like the Northern Trust are now able to create applications using the Snowflake data cloud thanks to the Snowpark service from Snowflake.
Large, sophisticated institutional investors with vast and complicated investment portfolios are among the clients of financial services behemoths. Large data integration and management difficulty are getting a complete picture of these portfolios and giving them the most recent value and market data. William WuThe Northern Trust's head of quantitative analytics.
Northern Trust is utilizing Snowpark to assist in the development of a product called Total Portfolio View (TPV) to address that difficulty.
Snowflake is the only source of truth that TPV uses, according to Wu.
Since Northern Trust employs a significant amount of Python, Wu stressed the significance of Snowflake Snowpark's all-around support.
Our data science team can work with a wealth of underlying data thanks to Snowflake's support for Python, allowing us to quickly bring ideas to market. Become."
Earlier this year, Snowflake's Open-Source Machine Learning App Vendor Streamlit introduced Python support in Snowflake's Snowpark.
With the use of Streamlit's technology, developers can exchange web apps that use Python. Early in 2023, Snowflake intends to make a preview version of Streamlit integrated into Snowflake available to a small number of customers. Head of Streamlit at Snowflake, Adrian Treille.
To distribute apps throughout our enterprise, we may make use of Snowflake's global performance engine, claims Treuille. You can receive the URL and share the app with others outside of your data team by clicking a button.
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