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Data Discovery Blog
Data Engineering
Top Data Warehouse Challenges & How To Overcome Them
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.
By
Etai Mizrahi
Latest Posts
How Active Metadata Works & Benefits for Data Teams
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.
Data Engineering
Secoda now supports real time multiplayer editing
Edit your data dictionary, data documentation, data catalog, or data cataloging together with support for real-time multiplayer editing
Data Discovery
How to close the data understanding gap in your organization
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 Engineering
How to overcome the challenges of inheriting a data team
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.
Data Discovery
Top 5 Business Intelligence Tools
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
Data Engineering
Metadata metrics about your data
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.
Data Discovery
How To Share Data Knowledge Across a Remote Organization
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 Discovery
What Are Important Metrics and KPIs for Data Teams?
The top 10 metrics that data leaders should know about their own data. If you’re looking for a way to improve your data quality metrics, Secoda can help.
What is the democratization of data knowledge
Data democratization allows all employees to have access to company intelligence. Learn more about data knowledge and how to democratize your data here.
Metadata
What are the benefits of a data repository?
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.
Data Discovery
Every Startup Should Be Using These Data Tools for Success
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.
Modern Data Stacks
Data lake vs data warehouse
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.
Data Discovery
Six step guide for high performing data teams
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.
Data Discovery
How to prepare for a data analyst interview as a candidate?
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.
Data Engineering
How to stay ahead of data debt and downtime?
Data debt is a species of technical debt that is created when teams don’t catalogue, clean and categorize their data
Data Engineering
The 5 steps to creating end to end data lineage diagrams
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.
Data Discovery
A complete data management guide
Data management is a complex, multi-faceted process. It's not enough to just collect data; you need to be able to store and manage it effectively too.
Data Discovery
How to know if your kpi is a vanity metric?
Vanity metrics are metrics that look good but don’t actually give you information on how to make your business better. They’re easy to measure, which is why they get tracked so often. It's also easy to understand them, since they're usually pretty straightforward.
Data Engineering
Introducing: Publishing Workflow
Introducing: the new way to build your company data portal
Data Discovery
Top 9 Data Governance Tools for 2023
What are the most popular tools used by data governance teams today
Data Engineering
Data analyst career path
Data analysts are responsible for collecting, cleaning, analyzing, and reporting information about the data stored in databases
Modern Data Stacks
Managing your data team in a downturn
How to manage your data team in a downturn
Data Engineering
Secoda and Fivetran Integration
We're excited to introduce our new Fivetran integration for Secoda that lets you see how sources are brought into your data warehouse
Data Engineering
What to do as the first data hire at an early-stage startup?
Working at a startup can be challenging. Working with data at a startup can be even more challenging. As the central hub for data and decision-making at the startup, you have to be ready to move quickly, discard old work and not get attached to anything that you create. Because
Data Discovery
How to Improve Data Onboarding
How to find the best data onboarding tool for your team and why this is essential for scaling companies.
Modern Data Stacks
The Fastest Way to Document Data
How to document your data quickly and efficiently using Secoda.
Metadata
Finding the Best Self-Serve Data Tool for Business and Product Teams
Why the current data tooling market fails to truly democratize data discovery within a company, and how to find a tool that your business and product teams will actually be able to use.
Modern Data Stacks
10 Best Practices for Data Teams at Rapidly Growing Companies
How to manage fast growth as a data team in a fast growing company
Data Engineering
What are the responsibilities of a data engineering manager?
What are the responsibilities of a Data Engineering Manager? Tooling, scaling the team, communications, and mentorship.
Data Engineering
Secoda and Great Expectations Integration
Why you should keep data quality top of mind and how to do so with Secoda and Great Expectations.
Modern Data Stacks
A Complete Guide to Data Lineage
Data lineage is a process for tracking the evolution of data as it flows from source to destination. It makes it possible to understand the connections between different data sources.
Data Engineering
How to Improve Company-Wide Data Literacy
An increase in data literacy results in less questions and hand-holding from the data team, easier data discovery, and better data hygiene.
Data Discovery
5 Data Engineering Best Practices for Engineers
Data engineering is integral to all of the functions of a company. Here are 5 best practices data engineers should follow.
Data Engineering
How to Automate Data Documentation?
What data documentation is and why it’s important, the current data documentation landscape and why it doesn’t work, benefits of automating data documentation, and how to automate data documentation
Modern Data Stacks
How To Create a Data Governance Council
A data council is a team dedicated to improving outcomes, ensuring strategic alignment, holding people accountable and setting up a cross-functional forum.
Data Discovery
How To Improve Data Enablement Across Your Company
Data Enablement comprises everything that contributes to improving data teams' workflows. With good Data Enablement practices, even teams with the most archaic data stack can operate efficiently. Without good Data Enablement tools, even the most modern data stack won’t help.
Data Discovery
Secoda is SOC 2 Certified
Secoda is now SOC 2 certified
Product Features
Secoda and Hightouch Integration
All about the new Secoda and Hightouch integration and how to get it set up!
Product Features
Introducing: Revision history via Git
Secoda can now be synced with a Git repository, letting you customize how you develop and deploy Secoda and help your team adhere to application development lifecycle best practices.
Product Features
Launch Week - Day 1 Summary
Everything we launched in the first day of launch week
Product Features
5 predictions for the modern data stack in 2023
The future of the modern data stack will continue to make it easier than ever to extract even more value from your data. It’s an exciting time to be a data geek, and I’m happy to be riding this wave.
Modern Data Stacks
Guide To Manage & Prioritize Data Requests; Free Template
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.
Modern Data Stacks
Step-by-step Guide To Create a Data Catalog
How to Create A Data Catalog, A Step-by-Step Guide
Metadata
Analytics Teams Need More Than Traditional Documentation
Knowledge sharing in analytics is sharing business context surrounding particular code, metrics or data
Data Discovery
The Ultimate Guide to Increasing Your Team’s Data Literacy
The biggest hurdle to overcome when it comes to data literacy is that many people are intimidated by data. You can help your team get past that hurdle by making it as easy as possible to access the data they need when they need it.
Data Discovery
Net Promoter Score for Data Teams
The data NPS can help data teams understand the impact of their work to enable self-service and have a good pulse on what they can do to improve the data product.
Data Discovery
Product Management Best Practices for Data Leaders
Data Product Manager: The role and best practices for beginners
Modern Data Stacks
Rethinking the data catalog
Data discovery tools should be comprehensive in the data knowledge that they capture
Metadata
Keep all your data knowledge in one place
Because there is so much data and so few members of the data team, tribal knowledge is a problem faced by most data teams.
Data Discovery
How To Manage Data Requests
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.
Modern Data Stacks
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