Latest
Lineage

Trace Your Salesforce Data, From Field to Dashboard

A native connector, now in public beta, that maps Salesforce data lineage from objects and fields to the reports and dashboards your leaders rely on.

by

Melanie Y

Updated on

September 29, 2026

Other blog articles

4 Best Practices for Successful Cloud Data Migration

4 Best Practices for Successful Cloud Data Migration

Discover essential strategies for effective cloud data migration and ensure data integrity.

by

Jatin S

Updated on

August 8, 2026

Master Ingested Data: Best Practices for Data Engineers

Master Ingested Data: Best Practices for Data Engineers

Master best practices for ingested data to enhance quality, efficiency, and operational insights.

by

Jatin S

Updated on

August 10, 2026

10 Essential Database Schema Examples for Data Engineers

10 Essential Database Schema Examples for Data Engineers

Explore 10 essential database schema examples to enhance data management and engineering practices.

by

Jatin S

Updated on

August 10, 2026

4 Key Differences in Data Lakehouse vs Data Warehouse Explained

4 Key Differences in Data Lakehouse vs Data Warehouse Explained

Explore the key differences between data lakehouse and data warehouse architectures.

by

Jatin S

Updated on

August 9, 2026

Master Data Pipeline Architecture: Best Practices for Engineers

Master Data Pipeline Architecture: Best Practices for Engineers

Explore best practices for building efficient and scalable data pipeline architecture.

by

Jatin S

Updated on

August 9, 2026

Master Data Quality Checks: Essential Strategies for Data Engineers

Data Quality Monitoring: Metrics, Monitors and Alerts

How to run data quality monitoring in practice: which metrics to track, how to set thresholds, how to control alert volume, and what to do when a check fails.

Jatin S

By

Jatin S

Updated on

August 22, 2026

Master KPI Data Quality: Essential Metrics and Strategies for Data Engineers

Master KPI Data Quality: Essential Metrics and Strategies for Data Engineers

Master KPI data quality with essential metrics and strategies for effective data management.

by

Jatin S

Updated on

August 9, 2026

4 Best Practices for Effective Data Catalog Architecture

4 Best Practices for Effective Data Catalog Architecture

Discover essential best practices for building an effective data catalog architecture.

by

Jatin S

Updated on

August 10, 2026

Catalog

Context Layer vs. Semantic Layer: Key Differences & Which One You Need

Context layers govern AI agents. Semantic layers standardize BI metrics. Learn the 10 key differences, when to use each, and why enterprises need both.

By

Jatin Solanki

Updated on

April 15, 2026

Understanding the Data Operations Platform: Definition and Key Components

Understanding the Data Operations Platform: Definition and Key Components

Discover the essentials of a data operations platform and its key components for effective information management.

by

Jatin S

Updated on

August 17, 2026

Master Metadata Architecture: Best Practices for Data Engineers

Master Metadata Architecture: Best Practices for Data Engineers

Discover best practices for effective metadata architecture to enhance data management and governance.

by

Jatin S

Updated on

August 9, 2026

Master Data Quality Audit: 9 Steps to Ensure Data Integrity

Master Data Quality Audit: 9 Steps to Ensure Data Integrity

Master data quality audit with 9 essential steps to ensure data integrity and reliability.

by

Jatin S

Updated on

August 10, 2026

4 Essential Data Rules for Ensuring Quality and Integrity

4 Essential Data Rules for Ensuring Quality and Integrity

Establish effective data rules to ensure quality and integrity for optimal decision-making.

by

Jatin S

Updated on

August 9, 2026

Master Data Discovery Platforms: Key Practices for Data Engineers

Master Data Discovery Platforms: Key Practices for Data Engineers

Discover best practices for leveraging data discovery platforms to enhance data management and insights.

by

Jatin S

Updated on

August 10, 2026

4 Best Practices for Your Metadata Management Strategy

4 Best Practices for Your Metadata Management Strategy

Discover best practices to enhance your metadata management strategy for improved governance and compliance.

by

Jatin S

Updated on

August 10, 2026

Build a Robust Data Quality Framework for Reliable Pipelines

Build a Robust Data Quality Framework for Reliable Pipelines

Build a resilient data quality framework to ensure reliable information pipelines and governance.

by

Jatin S

Updated on

August 10, 2026

How to Ensure Data Accuracy: Essential Steps for Data Engineers

How to Ensure Data Accuracy: 6 Essential Steps for Data Engineers

How to ensure data accuracy step by step: the six checks, where each one runs in the pipeline, the threshold to set, and what to do when one fails.

by

Jatin S

Updated on

September 9, 2026

What Is Data Schema? Definition, Evolution, and Importance Explained

What Is Data Schema? Definition, Evolution, and Importance Explained

Discover what is data schema, its evolution, types, and critical role in effective data management.

by

Jatin S

Updated on

August 9, 2026

Grow with our latest insights

Sneak peek from the data world.

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

Trusted Context Layer for Data and AI.

Bring lineage, quality, governance, and AI together in one platform—so your teams and AI agents can act with confidence.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Talk to our team
Explore the Platform

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.
Talk to our team
Start Product Tour
decube all in one image