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We are excited to announce a new strategic partnership with Salesforce. This partnership will bring data governance and deep insights around data lineage into Salesforce Data Cloud. With this bidirectional integration, Alation joins the Salesforce Data Governance alliance.
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It's analyst report season! In the next few months, analyst firms will provide guidance on how to approach the data catalog market and key criteria for choosing a data catalog. These reports can be helpful starting points. But they should be just that: a starting point. With over 12 years of experience and a customer base of nearly 600 enterprises, including 40 of the Fortune 100, we've developed a comprehensive understanding of what truly matters in a data catalog solution to deliver business success. Here are our key criteria uncovered:
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Snowflake is a cloud-based data warehousing solution offering a single data storage, processing, and analysis platform. It was founded in 2012 in San Mateo, California. Snowflake’s founders wanted to build a data platform that would harness the immense power of the cloud. Snowflake enables organizations to efficiently manage and analyze large volumes of structured and semi-structured data through a scalable and fully managed platform. The platform supports the ETL process of
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A data pipeline is a series of processes that automate the movement and transformation of data from one system to another, enabling organizations to collect, process, and store data efficiently. It connects multiple data sources, applies various transformations, and delivers the refined data to target systems such as databases, data warehouses, or data lakes.
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This week, Alation launched the Data Culture Body of Knowledge (DCBOK), a resource designed to assist customers on their journey toward improved data maturity. Drawing on lessons learned from hundreds of organizations, we wrote the DCBOK as a guide to building your data culture.
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In today's data-driven world, ensuring the quality of your data is paramount. Data quality can lead to better decisions and improve innovations. But data quality isn't just about raw data; it also extends to metadata – the information about your data.
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Metadata is "data about data." It provides information about data to make tracking changes and working with data assets easier. Examples of metadata include top users and creation date.
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We are excited to share that a Private Status Page is now available for all Alation Cloud Service (ACS) customers, enabling our customers to more easily stay informed about their ACS deployments with updates pushed directly to subscribers.
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Imagine making a critical business decision based on flawed data—launching a product, entering a new market, or approving a million-dollar budget—only to discover that the data informing that decision was riddled with errors. The impact could be disastrous. In fact, poor data quality is more common than you might think, costing U.S. businesses an astounding $3.1 trillion annually, according to a study by IBM.
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You may have heard that companies are selling data. Do you ever wonder where you can buy it?
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Data compliance is no longer optional in today’s digital world. With growing concerns around privacy and the increasing number of data breaches, organizations are under immense pressure to comply with complex regulatory frameworks. Failing to do so can lead to heavy fines, damaged reputations, and loss of customer trust. Building a robust data compliance framework ensures that your organization not only adheres to regulations like GDPR, HIPAA, and CCPA but also fortifies its data security practices. This article provides a step-by-step guide to developing a strong data compliance framework, discussing its importance, key components, and practical applications.
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