Product Features
Secoda raises a $14M Series A and introduces Monitoring
Announcing our Series A and new Monitoring products. Learn more here
The future of effective data management is rooted in metadata analysis. Learn more here
Learn about five simple steps to mitigate data threats and vulnerabilities.
Only 10% of the CEOs of Fortune 500 companies identify as female. Pipeline problem again?
Are you preparing to migrate a large volume of data? Learn the strategies and steps for a seamless data migration process in our comprehensive guide.
Discover the power of AI-driven data catalogs. Learn how they enhance data management, boost efficiency, ensure accuracy, and streamline collaboration.
Find the recordings from Day 5 of MDS Fest '23 here
Find the recordings from Day 4 of MDS Fest '23 here
For those looking for advice on how to excel as a people manager, those interested in growing as an individual contributor, or those who are unsure which path to take - this session is for you.
Find the recordings from Day 2 of MDS Fest '23 here
Find the recordings from Day 1 of MDS Fest '23 here
Integrating a goals framework (such as OKRs) with the BI and data creation layer is critical to regulate this natural bias for creation and to uncover how data assets align to company goals. Learn how
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Our Chrome Extension enhances your Secoda experience, and makes finding and understanding your data quicker and easier. Say goodbye to unnecessary tabs, and hello to a world where Secoda seamlessly integrates into your Chrome browser.
Data teams, and their stakeholders, always seem to want more (and more, and more). We want to move fast, but also build high quality data products, and also do it for an affordable cost. Is this achieveable?
Data catalogs are amazing tools for data search and discovery. Discover the must-have features your data catalog should have and more here.
Data catalog connectors are essential tools for helping organizations get the most value out of their data catalogs. Learn why they’re important here.
What is an AI data catalog? Learn everything you need to know about AI-powered data catalogs and how they can benefit your business here.
Data catalogs have advanced rapidly in recent years, and now is the perfect time to upgrade. Learn why it’s time to leave your outdated legacy systems behind.
Discover the differences between a data inventory and a data catalog, along with what you need to know to select the right tool for your business. Learn more.
In this session, Chad Sanderson (Chief operator at Data Quality Camp) and Lindsay Murphy (Corise Instructor and Head of Data at Secoda) discuss the benefits of data contracts and how to implement them with dbt. This talk is for advanced data practitioners looking for ways to manage their dbt projects at scale as well as data leaders looking for actionable strategies to implement data contracts.
In this webinar, dbt experts Grace Peace (TLM, Analytics Engineering at Cityblock Health) Gleb Mezhanskiy (CEO at Datafold), and Lindsay Murphy (Head of Data at Secoda), discuss best practices on how to effectively scale your data testing initiatives as your dbt models grow.
Learn how data leaders are investing in the modern data stack to help the data community advocate for necessary resources and prioritize projects.
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.
Data lakes and data meshes are two popular but very different ways that organizations can manage and process data. Learn which option you should use and when.
Data catalogs are inventories of all the data assets in an organization and are utilized by growing data companies. Learn about the top data catalog tools.
Data orchestration and ETL can both be important processes for businesses that use data. Discover the differences between data orchestration and ETL here.
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
Making data accessible and usable is essential for startups. Discover the benefits of data enablement and how you can implement it into your startup here.
Organizations that work with data need to have governance and compliance measures in place. Learn about the benefits of automated data lineage here.
Enterprise-level businesses have tons of data to manage and organize. Discover the benefits of having an enterprise data catalog and more here.
The technology to manage data is constantly changing. Learn about data governance and stay ahead of changes with these top books from data thought leaders.
Discover the often overlooked but crucial skill for data professionals: communication. Learn how mastering this skill can unlock new career opportunities and propel you to unprecedented heights.
Have you ever been asked to show the impact of your data team? Discover how to measure the ROI of your data team and more here.
Secoda is introducing a new AI Slack integration. This integration empowers data teams to automate 40% of data requests. Learn more here.
Metadata is essential for data discovery. Learn about metadata, the benefits of orchestrating it with APIs, and tips on implementing these APIs here.
Find out why cloud data governance is essential and how you can implement it successfully in your business. Learn more about cloud data governance here.
Discover how metadata APIs can help you automate data governance and the steps you can take to implement them in your organization. Learn more here.
Data governance is critical for data-driven organizations. Discover the top data governance trends and predictions for 2023 so you can stay ahead of the curve.
Learn how automated data lineage improves areas like governance and compliance in an organization and the other benefits it can provide here.
Data collection is essential for research and data analysis. Learn more about the most popular data collection models and techniques here.
Learn more about the top data migration tools used by growing tech companies so you can streamline your data migration and ensure everything goes smoothly.
Data orchestration is becoming more prevalent in many industries, and data orchestration technology is evolving at a rapid pace. See the current trends here.
Joining a new company can be an exciting yet challenging experience. Learn how to improve your data onboarding experience for new hires here.
Starting with data lineage is critical for a successful cloud migration. It provides insight into how data flows through an organization and helps address challenges such as security and data integrity. Data lineage tracks the flow of data and identifies the systems, applications, and processes that handle it. By following best practices such as automation and utilizing your data lineage, you can make the most of your investment and optimize other areas of your business.
How To Conduct On-Premise To Cloud Migration
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.
With Secoda, data enablement leads can ensure that their data is secure, compliant, and governed by company-wide policies.
What does fast fashion, data debt, spring cleaning and Monk has in common?
Secoda AI is the first data discovery solution powered by LLM. With a chat-based interface, think of it as ChatGPT for your data stack. It lets anyone, regardless of technical ability, answer any data question at the speed of thought.
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.
Data enablement allows organizations to harness the power of their valuable data. Learn how to implement data enablement in your organization and more here.
A data governance policy is a set of rules, procedures and guidelines that define how an organization collects, stores and uses data. Learn more here.
Data observability tools are becoming increasingly important components of data stacks. Discover the top data observability tools used by tech companies here.
Data orchestration involves managing and processing data in an organization to make it available when and where it's needed. Learn about the benefits here.
Metadata governance is a critical component of any successful data management process. Learn more about metadata governance in this comprehensive guide.
Metadata management tools are essential for the successful management of metadata. Discover which metadata management tool is right for your organization here.
Metadata management tools are essential for the successful management of metadata. Discover which metadata management tool is right for your organization here.
Discover how to plan out your metadata schema and manage your metadata effectively so you can take your organization to the next level. Learn more here.
Metadata standards are the foundation for an effective data governance strategy, as they allow for consistency and enable effective data sharing. Learn more.
Metadata is defined simply as data about data and is a powerful tool for organizations. Learn everything you need to know about metadata in this guide.
Metadata management provides organizations with a way to structure, organize and secure data according to their data governance policies. Learn more here.
Discover the top data reverse ETL tools used by growing tech companies and learn more here.
Organizations can use ETL tools to easily format and store data between systems. Discover the top data ETL tools used by growing tech companies and learn more.
Data dictionary tools can help you centralize your data repository, define information related to your data, and more. Discover the top data dictionary tools.
Data lineage tools are a great tool for any tech company’s data stack. Discover the top data lineage tools used by growing tech companies and learn more here.
Are you already in a data-driven field or thinking about becoming a woman in data? Check out these tips for success from successful female data professionals.
Integrate Salesforce with Secoda to save yourself countless hours troubleshooting data in your Salesforce environment. See all field references in your entire organization and go to market faster than ever.
The goal of data privacy is to keep personal, sensitive and important information safe and secure. There are many myths about data privacy. Learn more here.
A data mesh help organizations create a more resilient, scalable and easy-to-understand data infrastructure. Learn more about data mesh and how to build one.
Metadata is data that provides information about other data. Learn about the types of metadata that are relevant for data teams and which matter most.
Modern data teams are focusing on privacy, governance and more. Here are data trends you can expect to see this year and how they can benefit your business.
Secoda AI is the first AI suite of search, catalog, lineage, and documentation solutions, powered by LLM
Data teams face a variety of challenges with a traditional data warehouse. Learn what these are and how to overcome them with modern data warehousing.
Active metadata is data that defines data to create a single source of truth. Learn more about active metadata management and the benefits for data teams here.
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Edit your data dictionary, data documentation, data catalog, or data cataloging together with support for real-time multiplayer editing
Secoda is a data catalog tool that makes it easier for your teams to search, access and understand data. Data discovery is intuitive when using Secoda, even for non-technical users. With our platform, you can consolidate all of your organization's data knowledge in one secure place. This eliminates data silos and inconsistencies while also making your data easily searchable. Users can find the data they need as quickly as they can do a Google search.
Data teams can be challenging to lead even when they’re well established and you’ve been working with them for a long time. Inheriting a data team can pose all of those well-known challenges and many others. While it can be intimidating to take on a data team that already has its own way of working, these challenges can be overcome with the right strategy.
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Ever wonder what BI tools other teams are using? Below is the overview of the top 5 BI tools based on over 250 data teams data stacks in 2023
Metadata descriptions about your data, like what type of data it is and whether or not it’s missing values will help you understand better why your pipeline failed.
If you’re looking for a solution for remote data knowledge management, choose Secoda. Our modern data catalog tool makes it easy for your teams to manage, search, and discover data.
Data democratization allows all employees to have access to company intelligence. Learn more about data knowledge and how to democratize your data here.
With one accessible repository, you can combine data knowledge and discovery in one centralized, easy-to-manage location. Data teams and nontechnical users will have speedy access to all of the data they need.
Discover the best data and analytics tools for startups. Learn more about what kinds of tools you should add to your modern data stack and tips for success.
A data lake is a repository for big data sets that don’t have a set structure. Data warehouses are databases optimized to perform analytical queries. Relational databases are databases optimized to query current, consistent, accurate and complete sets of data.
After working with hundreds of data teams, we believe there are five key factors that help can help you determine whether or not your data team is high performing and that you can do to help your data team transform into a high performing team.
If you're looking for a job as a data analyst, then you've come to the right place. I'll walk you through preparing for interviews and offer some tips on how to make yourself stand out from other candidates. We'll talk about what skills are required for this role, what questions an interviewer might ask during the interview process, and how to show that you're qualified for the job if it happens to be one of your dream positions in life.
To address data debt, you need to understand the problem and commit to an ongoing solution. Discover how to stay ahead of data debt and downtime here.
it is possible to automate end-to-end data lineage using the right tools. This allows companies to avoid manual processes, reduce the risk of errors, and save time and money in the long term.
In this guide to data management, you will learn how to establish a solid foundation for your data governance and metadata management program and more.
Vanity metrics may look impressive but they do not offer actionable business insights. Learn how to differentiate between KPIs and vanity metrics here.
Secoda's new publishing workflow and change management system allows data teams to create a software engineer like approach for updating data documentation.
Data governance tools are a great tool for any tech company’s data stack. Discover the top data governance tools used by growing tech companies here.
Looking for a job as a data analyst? Discover the best career opportunities for data analysts and what positions you should consider here.
Data teams can be productive even in a tough economy. Discover how to manage your data team in an economic downturn and get expert tips here.
We’re excited to announce that we’ve just launched the ability to integrate Fivetran with Secoda. Learn more about our integration with Fivetran here.
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Data teams help startups understand key metrics and growth opportunities. Discover how to succeed as the first data hire at an early-stage startup here.
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