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Catalog

Introducing Catalog Asset & Data Quality APIs

Announcing the release of Decube’s Catalog Asset APIs and Data Quality Scorecard API—empowering teams to automate asset management, synchronize metadata, and monitor data quality programmatically. These new APIs streamline data operations and enable proactive, trustworthy data governance.

by

Melanie Y

Updated on

August 1, 2025

Other blog articles

Data Observability

Data Integrity: The Key to Successful Data Management

Master the world of data management with our comprehensive insight on data integrity, its pivotal role, and strategies to maintain it.

By

Jatin

Updated on

June 17, 2024

Catalog

Data Catalog: Streamlining Your Data Management and Organization

Elevate your data strategy with a robust data catalog. Enhance data discoverability, improve collaboration, and boost overall business growth.

By

Jatin

Updated on

October 28, 2024

Lineage

Column-Level Lineage: Enhancing Data Accuracy and Governance

Experience profound metadata governance and enhanced data accuracy through column-level lineage with our detailed insights.

By

Jatin

Updated on

June 17, 2024

Data Observability

Reduce Time to Value for Data Observability

Discover how our revamped Config module speeds up data observability implementation, helping organizations achieve quick and efficient results.

By

Melanie Yong

Updated on

October 28, 2024

Governance

Data Governance: Essential for the Modern Data Stack

Master data governance with centralized policy management, custom classifications, and automation. Essential for modern businesses navigating complex data environments.

By

Melanie Yong

Updated on

October 2, 2024

What is Data Observability? Data Engineers Guide

Much is said about Data Observability, yet it is imperative to precisely comprehend what Data Observability entails and how it can enhance the productivity of data engineers.

By

Jatin

Updated on

January 10, 2024

Data Mesh: A Paradigm Shift in Managing Data at Scale

Explore Data Mesh, its workings, benefits, and challenges in transforming data management at scale. Discover the future of data

By

Jatin

Updated on

October 2, 2024

Data Observability

Mastering Spark Jobs: Comprehensive Guide for Data Engineers

Navigate big data with ease. Our guide simplifies running and managing Apache Spark jobs, offering a comprehensive overview for data engineers.

By

Jatin

Updated on

October 2, 2024

Data Observability

New: Incident Resolution with Enhanced Insights

Explore upgraded incident resolution with detailed metrics, highlighted problematic points, user assignment, downstream impact, and affected row previews

By

Melanie Yong

Updated on

October 7, 2024

Data Governance for Quality: Policies Ensuring Reliable Data

Explore how our data governance policies ensure data quality, consistency, and reliability, empowering informed decision-making for businesses.

By

Jatin

Updated on

May 5, 2024

Improving Data Team Performance through Data Observability

This article highlights enhancing data teams' efficiency by implementing observability. This approach provides insights into data systems, enabling quicker issue detection and resolution. The result is a more agile and responsive team, leading to improved performance, reliability, and overall success in data management.

By

Jatin

Updated on

January 10, 2024

Data Mesh

Data Mesh Architecture: Guide for Data Engineers

Explore data mesh architecture for decentralized data management, domain ownership, and self-serve infrastructure. Empower data engineers to innovate.

By

Jatin

Updated on

October 2, 2024

Data Observability

Data Observability: Maximize LLM Accuracy

Explore how Data Observability enhances LLM accuracy by improving data quality, model performance, and empowering data scientists. Revolutionize machine learning

By

Jatin

Updated on

October 28, 2024

Catalog

Enhanced Data Catalog: Semantic Search with Elasticsearch

Experience our enhanced Data Catalog with Elasticsearch-powered semantic search. Effortlessly explore and find tables using natural language queries and built-in filters.

By

Melanie Yong

Updated on

August 3, 2024

Exploring Data Lineage for Successful Data Governance Strategies

In today's data-driven world, organizations are generating and collecting vast amounts of data. However, without proper management and governance, this data can quickly become overwhelming and difficult to control. This is where data governance plays a crucial role. But what exactly is data governance?

By

Jatin

Updated on

January 10, 2024

What is a Graph Database? Use Cases and Advantages

Discover graph databases and their advantages. Learn how they manage complex relationships and solve industry challenges effectively.

By

Jatin

Updated on

October 2, 2024

Dagster vs Prefect: Comparing Features, Use Cases, and Workflow Orchestration

Compare Dagster vs Prefect to understand their strengths in workflow orchestration, data pipelines, and developer tools. Discover key features, use cases, and ecosystem integrations to choose the right tool for your data engineering needs with Decube.

By

Jatin

Updated on

October 7, 2024

Data Observability

Gen AI and the Future of Data Engineering

Explore how Generative AI is set to revolutionize data engineering, transforming data collection, processing, analysis, and utilization.

By

Jatin

Updated on

October 2, 2024

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