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

What is ACID transactions?

Learn about ACID transactions—Atomicity, Consistency, Isolation, and Durability—ensuring reliable and secure data management in database systems.

By

Jatin Solanki

Updated on

August 3, 2024

What is MLOps?

Explore MLOps, blending Machine Learning with DevOps to streamline model development, deployment, and maintenance for scalable, efficient AI capabilities.

By

Jatin Solanki

Updated on

October 2, 2024

Batch vs Streaming: Data Processing Comparison

Explore the distinctions between batch and streaming data processing, uncovering their strengths, weaknesses, and ideal applications

By

Jatin Solanki

Updated on

May 12, 2024

What Is a Data Fabric? Architecture, 6 Layers, and When to Avoid It

A data fabric unifies access to data where it already sits. See the six layers, the architecture diagram, and when a data fabric is the wrong choice.

By

Jatin Solanki

Updated on

September 9, 2026

Ingest Data to Vector Database: Milvus Example

Learn how to ingest data from AWS S3 into Milvus. Includes handling diverse data types and Python code examples for efficient similarity search

By

Jatin Solanki

Updated on

October 2, 2024

Vector Databases Explained: Key Features, AI Integration, and Use Cases

Discover how vector databases are transforming AI and machine learning by storing and querying high-dimensional data vectors. Learn about key features like vector indexing, scalability, and real-world use cases in recommendation systems, search engines, and more with Decube.

By

Jatin Solanki

Updated on

October 7, 2024

Data Observability

Data Quality Metrics for Data Warehouse

Explore key data quality metrics for data warehouse integrity and improved decision-making.

By

Jatin Solanki

Updated on

August 3, 2024

Data Observability

Data Freshness: What It Is, How to Measure It, and When Stale Is Fine

Data freshness is how old the newest record in a table is right now. What it means, four ways to measure it, how to set a threshold, and when stale is fine.

By

Jatin Solanki

Updated on

September 9, 2026

Implementing Data contracts in the Data Warehouse

In the realm of warehousing, data contracts play a crucial role in establishing clear guidelines for data management and sharing. These contracts outline data ownership, usage rights, security measures, and compliance requirements, ensuring transparency and trust between stakeholders. Effective data contracts foster efficient operations and facilitate meaningful collaborations within the warehouse ecosystem.

By

Jatin Solanki

Updated on

January 10, 2024

Data Profiling: 8 Column Statistics and What a Bad Value Looks Like

The 8 column statistics a data profiler computes, what a bad value looks like for each, when to run one instead of a monitor, and the limit it cannot cross.

By

Jatin Solanki

Updated on

September 9, 2026

Governance

Learn About Saudi Arabia's Personal Data Protection Law (PDPL)

Discover Saudi Arabia's 2023 PDPL, its guidelines for data handling, individual rights, and penalties, ensuring privacy and security

By

Jatin Solanki

Updated on

August 8, 2026

Generative AI: What is it? Meaning, Use Cases, Impact and Role

Explore Generative AI: its definition, diverse applications, transformative impact, and evolving role in shaping the digital world.

By

Jatin Solanki

Updated on

June 15, 2024

Catalog

What is Machine Learning Data Catalog?

Step into the future with Machine Learning Data Catalogs: Uncover how they streamline data discovery and management for AI and ML projects efficiently.

By

Jatin Solanki

Updated on

August 8, 2026

Apache Iceberg vs Parquet: File vs. Table Formats for Modern Data Lakes

Compare Apache Iceberg and Parquet to understand their roles in data lakes: Iceberg as a table format for large-scale data management, and Parquet as a file format for efficient storage. Explore use cases, performance, and integration with data tools in this detailed guide

By

Jatin Solanki

Updated on

October 7, 2024

What is Metadata Management? Backbone of Data Catalog and Governance

Metadata management plays a pivotal role in data governance, providing a structured approach to understanding and controlling data assets. By capturing and organizing metadata, organizations can enhance data quality, ensure compliance, enable effective data lineage, and empower informed decision-making, fostering a robust foundation for data governance practices.

By

Jatin Solanki

Updated on

October 28, 2024

Data Observability

Snowpark Use Case: For Snowflake Users

Explore how Snowpark enhances Snowflake's data engineering with complex transformations using popular programming languages. Revolutionize your data tasks.

By

Jatin Solanki

Updated on

November 14, 2024

Data Transformation use case : Apache Spark and Databricks

Explore complex data transformations with Apache Spark and analyze results in Databricks. Enhance your data engineering workflows with these powerful tools.

By

Jatin Solanki

Updated on

August 3, 2024

Data Engineers vs Software Engineers: How do They Differ?

Compare Data Engineers and Software Engineers: their roles, skills, tools, and how they uniquely contribute to the tech world.

By

Jatin Solanki

Updated on

June 15, 2024

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