Reactor
Resource Library
Stay up to date with the latest industry trends and insights through our informative blogs, podcasts, industry events, latest news, and more.
Balsam Brands Reduces Cost and Complexity Integrating and Modeling Business-Ready Data in Snowflake
Balsam Brands uses Reactor to unify and catalog data for AI modeling, cross-functional business analytics, and customer activation, reducing the time and complexity …
Hearst Reduces Time-to-Value for Business-Ready Data in GCP BigQuery with Reactor.
By integrating the Reactor intelligent pipeline into their modern data stack, Hearst was able to land clean, well-defined data …
PacSun Combines Intelligent Data Onboarding and Modeling with Universal Data Activation
PacSun relies on the intelligent data pipeline, Reactor, to better understand and serve their customers by unifying and modeling data …
Data Quality and AI: SoundCommerce CEO on Overcoming Enterprise Challenges – VMblog QA
In an increasingly data-driven world, companies face significant hurdles in making their data usable and trustworthy.
SoundCommerce Unites, Defines and Models Enterprise Data for More Trusted AI
SoundCommerce helps organizations make data actionable and trustworthy. Its flagship data platform, Reactor, is an intelligent data pipeline that collects, defines and models data from a company’s systems and applications.
Office Hours with David Meltzer podcast talks with Eric Best
In this podcast episode, Eric Best joins hosts Michael Sartain and Bogdan Zlatkov to discuss the transformative power of data in today’s business landscape. They
Enterprise GenAI has a Big Dirty Little Secret
Discover the hidden challenges of using Generative AI in enterprise data analytics. Learn why trustworthy data is key to unlocking meaningful AI-driven insights.
What’s Driving Hearst’s Ecommerce Aspirations?
Hearst is harnessing its expansive portfolio of brands and its highly credible editorial team to take a curated, content-driven approach to commerce.
Your Permanent Record: Immutably Log Raw Data to Deliver Major Benefits for your AI and Data Teams
In Chapter #1 of “Future-Proof your Cloud Data Infrastructure” we dive into how to immutably log your raw data to deliver major benefits for your AI …
Let’s See that Replay: Remap, Remodel and Reprocess Data for Future-Proof Use Case Flexibility
In Chapter #2 of “Future-Proof your Cloud Data Infrastructure” we dive into remapping remodeling and reprocessing data for use case flexibility …
Open for Business: Define your Data with Semantic Labels and Metadata for Faster AI and Business Relevancy
In Chapter #3 of “Future-Proof your Cloud Data Infrastructure” we dive into defining your data with semantic labels and metadata for faster AI …
Do it Right the First Time: Define your Semantic Layer at Ingest to Simplify Data Cataloging and Governance
In Chapter #4 of “Future-Proof your Cloud Data Infrastructure” we dive into defining your semantic layer at ingest to simplify data cataloging and governance …
Smaller is Better: Atomize Messages for more Flexible, Resilient Data Mapping and Modeling
In Chapter #5 of “Future-Proof your Cloud Data Infrastructure” we dive into atomizing messages for more flexible, resilient data mapping and modeling …
Data for All: Adopt Low Code-No Code Data Pipelines to Expand your Effective Data Team
In Chapter #6 of “Future-Proof your Cloud Data Infrastructure”we dive into adopting low code-no code data pipelines to expand your effective data team …
Share, Share Alike: Use Mapping and Modeling Libraries to Accelerate your Work
In Chapter #7 of “Future-Proof your Cloud Data Infrastructure”we dive into using mapping and modeling libraries to accelerate your work …
Faster is Better: Stream Data Through your Pipelines for Real-Time Analysis and Applications
In Chapter #8 of “Future-Proof your Cloud Data Infrastructure” we dive into streaming data through your pipelines for real-time analysis and applications …
Let’s Put it in Context: Use Purpose-Built, Industry-Specific Data Models for AI and BI Time to Value
In Chapter #9 of “Future-Proof your Cloud Data Infrastructure” we dive into using purpose-built, industry-specific data models for AI and BI time …
Put Your Data to Work
Reactor, an intelligent data “EtLT” pipeline, onboards clean, well-defined
data modeled for generative AI, analytics, and activation.
Q&A with Balsam Brands CTO: Give the data team better tools – Multichannel Marketer
Balsam Brands CTO France Roy sits down with Multichannel Marketer to discuss how BalsamHill.com will better use its data to identify high-value customer …
SoundCommerce CEO Eric Best: ‘Data capability enables customer lifetime value’
SoundCommerce Co-Founder and CEO Eric Best said retail winners will increasingly be determined by how they leverage data and artificial …
SoundCommerce Launches Reactor to Reduce the Time, Effort and Cost of AI-Ready Data
Reactor provides crucial data sets for AI activation and decisioning, onboarding well-defined and modeled data to modern cloud data warehouses …
eBook: Future-Proof your Cloud Data Infrastructure
Cloud data warehouses can transform the way you run your business, revealing the drivers and detractors of profitable growth.
Retransforming Data and Mapper Replay
Mapper replays can be initiated at the Source Mapping level of the Mapping page in Reactor.
Reactor Function Library, Overview and Glossary
A complete list of each function currently available in Reactor.
Writing Mapping Expressions in Reactor
There are multiple types of mapping expressions used in Reactor.
