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Discover how data teams can move from AI experimentation to reliable outcomes. This guide explores the challenges of using LLMs with business data, why context matters, and how tools like Secoda embed governance, metadata, and lineage to deliver trustworthy AI outputs.
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Cloud data warehouse migrations can unlock scalability, performance, and cost savings, but they’re rarely simple. In this guide, we break down the key steps to a successful migration and show how Secoda helps teams like Vanta and Fullscript manage dependencies, monitor data quality, and streamline documentation.
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Stay proactive with Secoda’s Microsoft Teams integration. Receive real-time data alerts and updates directly in your Teams channels, reducing context switching and improving response times. Streamline communication and collaboration while ensuring data quality and operational efficiency.
Migrating BI tools is complex but rewarding, offering benefits like real-time data and advanced analytics. This guide covers structured migration steps, highlights the role of data catalogs and lineage, and explains how to improve data quality and ensure successful adoption.
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Ready to Master the Mesh? Discover how a data mesh strategy overcomes the limitations of centralized data management by decentralizing data ownership and enhancing data accessibility. Learn about the key components, challenges, and the role of data catalogs in optimizing your data operations.
Strategies for Managing Costs Associated with Data Visualization and Reporting Tools: Discover effective ways to optimize expenses and maximize resources when using data visualization and reporting tools and
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Join us at MDS Fest from April 8 - 12 to explore the cutting-edge of data-driven strategies, and take home actionable insights that could redefine the future of your organization. Get your tickets at mdsfest.com today.
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We live in a time where data is as crucial as capital. At MDS Fest 2.0, we're dedicating a comprehensive track to one of the most discussed topics in the space: becoming and thriving as a data-driven organization. Get your free tickets at mdsfest.com
As we step into what’s next for data teams, it's not just about welcoming LLMs into our toolkit; it's about recognizing the shift they represent. It's a move towards democratizing data, breaking down barriers, and automating tasks and workflows that can drive tremendous impact
Discover the data industry's transformative 2023 journey, lessons learned, and 2024 anticipations from Secoda, Brooklyn Data Co., and Census. Explore trends in data democratization, spending shifts, and the rise of specialized roles. Learn about the future focus on thoughtful data collection, self-awareness, and innovative workflows. Stay informed for a promising 2024!
Explore the ease of building a modern data stack, leveraging cloud-based tools for data collection, storage, transformation, and more. Uncover the hidden challenges of scaling, particularly the escalating costs. Learn essential strategies to contain expenses, from proactive monitoring to budget planning.
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Based on our latest study, we explore the data initiatives that data driven organizations are investing in this year. We will delve into four main areas: the AI surge, the need for scalability, the analytics evolution, and the increasing focus on data governance.
With the right data catalog, companies can better understand and manage their data. However, it can be daunting to choose from the myriad of options available when you’ve decided to implement a data catalog in your stack. That’s why we’ve created this simple step-by-step guide that will help you assess your data catalog needs and select the right one for you
o you need to migrate data from Oracle to another platform? The data migration process might seem daunting, but following the right steps can ensure a seamless and frictionless migration. In this blog, we’ll provide you with a step-by-step process for migrating data from Oracle, along with some general information about data migration.
In today's data-driven world, businesses are increasingly adopting cloud-based solutions to optimize operations and extract valuable insights from their data. In this guide, we will outline the key steps for migrating your on-premises data infrastructure to Snowflake.
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As an early data hire at a fast-growing company, one of the first things that you’ll likely encounter is a backlog of questions from employees. This backlog, alongside all the other tasks associated with reporting, maintaining data and creating new pipelines can feel extremely overwhelming.
Data requests are questions that employees have about data that exists in the organization or about new data isn't being collected yet. Traditionally, data teams will take data requests through an intake form or a Slack channel where employees can ask for the request.
Built for data teams, designed for everyone so you can get more from your data stack.
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