The beginning of 2022 brought a number of high-profile additions to Snowflake. Both unstructured data support and Snowpark (Scala API and Java UDFs) are generally available, which can be extra powerful when paired together. Snowpark can be used to process unstructured data, for example, natural language processing text files and DICOM images, directly in Snowflake. And migrations from legacy systems are now a lot simpler with Snowflake Scripting in public preview. Read on to see the full breadth of announcements from January.
Support for unstructured data now in GA
Snowflake’s support for unstructured data includes built-in capabilities to store, access, process, manage, govern, and share unstructured data in Snowflake. Now you can manage and analyze your data–structured, semi-structured, and unstructured–across clouds in one seamless experience. Watch how to get started.
Snowpark now in GA
Snowpark is all about extensibility. It was designed to let data engineers, data scientists, and other developers work with data more efficiently and effectively in their programming languages and tools of choice—including Scala, Python (in private preview), and Java—using familiar programming constructs such as DataFrames. And it was built to move that work right to where the data lives: in Snowflake’s scalable, secure compute engine. Learn more.
Snowflake Scripting in preview
Pipeline Observability & Experience
Improve pipeline visibility and experience
Snowflake users can now improve their pipeline visibility by using the copy history dashboard. This dashboard shows a 365-day view of copy history for bulk data loads (i.e., using the COPY INTO <table> command) and Snowpipe to gain better visibility into data ingestion.
What’s also available in preview is a new error notification feature for Snowpipe. When Snowpipe encounters errors while loading data from a staged file, this feature triggers a notification that describes the errors using cloud messaging—enabling further analysis of the data in the file.
Conditionally mask data based on other column(s) now in GA
Users can now create data-masking policies based on multiple conditional columns, making access policies more flexible and data easier to manage. Conditional masking policies can be applied to multiple tables and views. Learn more.
Snowflake Data Marketplace
Snowflake customers can tap into Snowflake Data Marketplace to discover and access helpful third-party data and services from more than 200 providers (as of October 1, 2021) as well as market their own products across the Snowflake Data Cloud. Visit Snowflake Data Marketplace.
Recently Added Snowflake Data Marketplace Providers
Since 2014, SmartMarketData has been a leader and innovator in the alt-data space. SMD finds unique and relevant alternative data sets, and helps productize them for consumption by Wall Street. Learn more.
Onemata is the largest provider of compliance-first, SDK-derived, mobile location data. It offers robust yet cost-effective solutions for decision-makers to easily integrate location data directly into their day-to-day business tools. Learn more.
Founded in 2019, Monte Carlo is an automated, end-to-end data observability platform. ItsTheir machine learning- first solution notifies data teams about issues of freshness, distribution, volume, schema, and lineage across their data ecosystem, helping them to avoid “data downtime.” The synthesized metadata that Monte Carlo generates helps organizations build dashboards, analyze data platform team performance, and even commit to and track SLAs. This level of detail makes it possible to understand what data matters most to the business based on usage, access, and data quality checks. Learn more.
Mintec enables the world’s largest food and manufacturing brands to implement more efficient and sustainable procurement strategies. It delivers market prices and forecasts for more than 15,000 agri-food ingredients, associated industrial materials, and energy. The company’s data empowers customers to better understand prices, analyze their spend, and negotiate with confidence. Mintec data is designed to save time, reduce human error, and drive more actionable and efficient outcomes. Learn more.
Website Keyword Traffic
Similarweb is a digital intelligence provider for enterprise and small to mid-sized business (SMB) customers. Its platform delivers a trusted, comprehensive, and detailed view of the digital world, empowering customers to be competitive in their markets. The company’s proprietary technology analyzes billions of digital interactions and transactions every day, covering millions of websites and apps, and turns these digital signals into actionable insights. Everyone from business leaders to strategy teams, analysts, marketers, category managers, salespeople, and investors can quickly and efficiently discover strong business opportunities, identify potential competitive threats, and make critical decisions to capture market share and grow revenues. Learn more.
Retail and CPG
Skupos is a data company that captures, cleans, and analyzes point-of-sale data in real time for the U.S. convenience retail and consumer packaged goods (CPG) market. Its CPG POS data set is sourced from over 14,000 independent retailers—and includes data that nobody else has, such as Nielsen and IRi. Skupos specifically helps CPG companies understand trends, from high-level competitive dynamics down to location-specific distribution and execution. Its full brand platform includes a raw data feed, insights dashboard, and promotion enablement across its full network of retailers. Learn more.
Catalina is a market leader in shopper intelligence and highly targeted in-store, TV, and digital media that personalizes the shopper journey. Powered by one of the world’s most robust real-time shopper databases, Catalina helps CPG brands, retailers, and agencies optimize every stage of media planning, execution, and measurement. The company prioritizes the privacy and security of the data entrusted to it and remains focused on maintaining consumer trust. Catalina has operations in the United States, Costa Rica, Europe, and Japan. Learn more.
Merchant Processing Data
North American Bancard
North American Bancard (NAB) simplifies the payments process for merchants and their customers. As a leading payment technology innovator, it offers payment solutions for merchants in almost any industry, supported by simplified customer, employee, and inventory management that maximizes profitability. This includes providing relevant data, such as merchant and transactional payment processing data, that can be used to perform analysis of the business. Learn more.
Travel and Hospitality
Yuvoh Analytics sells valuation services to lenders, asset managers, and other financial services companies. Its machine learning models consume large volumes of data in raw form. For example, its data warehouse contains daily snapshots of all Airbnb properties dating back to 2018. Each day, more than 5 million listings are scanned. Every property availability calendar is recorded for 6 months, equaling about 1 billion figures and data points collected daily. Learn more.
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