A data catalog is a central inventory of organizational data. It provides a comprehensive view of all data assets in an organization, including databases, tables, files, and data sources. Efficiently managing large amounts of information is crucial for companies to stay competitive. This practice is especially applicable to large organizations with scattered data.

In December 2023, Snowflake announced its acquisition of data clean room technology provider Samooha. Samooha’s intuitive UI and focus on reducing the complexity of sharing data led to it being named one of the most innovative data science companies of 2024 by Fast Company. Now, Samooha’s offering is integrated into Snowflake and launched as Snowflake Data Clean Rooms, a Snowflake Native App on Snowflake Marketplace, generally available to customers in AWS East, AWS West and Azure West.

At a time when AI is exploding in popularity and finding its way into nearly every facet of business operations, data has arguably never been more valuable. More recently, that value has been made clear by the emergence of AI-powered technologies like generative AI (GenAI) and the use of Large Language Models (LLMs).

If you’re navigating the complexities of CRM and business automation, SFDC could be the game-changer you need. With SFDC, or Salesforce.com, businesses access a suite of tools for customer relationship management, marketing automation, and analytics to streamline operations. This article offers a focused look at how implementing SFDC strategies can elevate your data handling, improve customer engagement, and protect your information, all while bolstering your sales and marketing efforts.

At the intersection of data management and business strategy lies the data steward. Tasked with safeguarding data integrity and enabling informed business intelligence, data stewards are fundamental to modern organizations. They ensure data is clean, compliant, and utilized effectively. Our exploration will detail the crucial role of data stewardship in navigating and leveraging an enterprise’s data landscape.

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As organizations seek to drive more value from their data, observability plays a vital role in ensuring the performance, security and reliability of applications and pipelines while helping to reduce costs. At Snowflake, we aim to provide developers and engineers with the best possible observability experience to monitor and manage their Snowflake environment. One of our partners in this area is Observe, which offers a SaaS observability product that is built and operated on the Data Cloud.

Today, enterprises are focused on enhancing decision-making with the power of AI and machine learning (ML). But the complexity of ML models and data science techniques often leaves behind organizations without data scientists or with limited data science resources. And for those organizations with strong data analyst resources, complex ML models and frameworks may seem overwhelming, potentially preventing them from driving faster, higher-quality insights.