Latest
Catalog

Introducing Decube Copilot's Autocomplete: Smarter Data Curation

Empower data governance teams by automating descriptions, reducing manual efforts, and enhancing data curation workflows.

by

Melanie Yong

Updated on

November 14, 2024

Other blog articles

Data Observability

Data Observability - Importance and concepts for data engineers

Data observability is essential for data engineers, providing visibility into data freshness, quality, and lineage. It enables proactive issue resolution, improved data reliability, and enhanced collaboration. By implementing best practices and leveraging real-life case studies, data engineers can ensure data systems' optimal performance, drive accurate insights, and maintain compliance in today's data-driven world.

By

Jatin Solanki

Updated on

October 28, 2024

Data Observability

Data Literacy: Why it its important for Data Engineers?

Understand why data literacy is crucial for data engineers. Enhance decision-making, collaboration, and innovation with continuous learning and industry updates.

By

Jatin Solanki

Updated on

October 2, 2024

The importance of Data Lineage - Learn about upstream and downstream

Data lineage tracking is a critical aspect of data management that allows organizations to understand the origin and journey of their data. This blog discusses the importance of data lineage tracking, how it can benefit businesses, and some best practices for implementing it effectively.

By

Jatin Solanki

Updated on

January 10, 2024

Newly launched: Airflow integration!

Discover our new integration with Apache Airflow. Author, schedule, and monitor workflows programmatically with our latest release.

By

Melanie Yong

Updated on

October 7, 2024

Data Mesh

Data Mesh Architecture - Comprehensive Guide for Data Engineers

Data mesh architecture decentralizes data management, promoting domain-oriented ownership, treating data as a product, and encouraging self-serve infrastructure and federated governance. By understanding and implementing data mesh, data engineers can efficiently handle vast data volumes, driving innovation and value creation within their organizations.

By

Jatin Solanki

Updated on

June 15, 2024

Data Science Introduction

Discover key Data Science concepts that drive innovative solutions and enhance your decision-making with actionable insights.

By

Jatin Solanki

Updated on

May 24, 2024

Pipeline Observability

ETL vs ELT Key Differences

ETL vs ELT Simplified: Discover how these data processing techniques differ and which one can revolutionize the way your business handles data.

By

Jatin Solanki

Updated on

June 15, 2024

Data Observability

Data quality management : Tips & Best practices for reliable data

Learn tips and best practices for ensuring reliable data through data quality management, including standards, audits, validation, and governance.

By

Jatin Solanki

Updated on

August 3, 2024

Create Your Large Language Model with OpenAI Using Excel

Unlock the potential of building a tailored LLM model with OpenAI using Excel data for business responses and productivity.

By

Jatin Solanki

Updated on

May 5, 2024

New: See the Lineage of your Transformations

Check out our update on Lineage, you can now see the lineage from dbt and Fivetran transformations!

By

Melanie Yong

Updated on

January 10, 2024

Data Governance and Compliance - Beginner's Guide, Examples and Concepts

Data governance and compliance are critical for businesses to ensure the accuracy, availability, and security of their data. This beginner's guide covers the basics of data governance, compliance, and regulatory requirements, including key concepts, best practices, and tools for managing data effectively.

By

Jatin Solanki

Updated on

January 10, 2024

Lineage

Data Lineage : Examples, Concepts and Techniques

Explore the essentials of Data Lineage to understand its impact on data governance, management, and how it enhances trust in your data ecosystems.

By

Jatin Solanki

Updated on

November 14, 2024

Data Observability

Defining Data Quality with SLA: Metrics, Monitoring, and Remediation

Discover how defining data quality with SLA metrics enhances accuracy, completeness, and validity, boosting decision-making and stakeholder confidence.

By

Jatin Solanki

Updated on

August 3, 2024

Data Observability

New Integration Alert: Decube x Microsoft SQL Server

Exciting news for teams using SQL Server - we've just added a brand new integration! 🚀

By

Melanie Yong

Updated on

July 30, 2024

Data Observability

Maximize Data Value with SingleStore and Decube Partnership

Explore SingleStore and Decube's partnership for integrated data observability and governance. Learn to enhance data management and maximize value.

By

Jatin Solanki

Updated on

August 3, 2024

Glossary

Data Dictionary: What is it? Examples, Templates and Definition

Dive into data dictionaries: understand their definition, critical role in data management, and diverse applications.

By

Jatin Solanki

Updated on

July 30, 2024

Learn SQL: Beginner's Guide to SQL

Beginner's guide to SQL covers basics of data manipulation and joining tables. Start exploring SQL for data analysis

By

Jatin Solanki

Updated on

November 14, 2024

Data Observability

Two new integrations: Databricks and Fivetran

I’m thrilled to announce that we’ve added connections to Databricks AND Fivetran this week!

By

Melanie Yong

Updated on

June 15, 2024

Grow with our latest insights

Sneak peek from the data world.

Thank you! Your submission has been received!
Talk to a designer

All in one place

Comprehensive and centralized solution for data governance, and observability.

Get Started
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Request a demo
Explore Sandbox
decube all in one image