What is RightData DataFactory?

DataFactory is a low-code/no-code platform for building and orchestrating data pipelines with ease.

What are the features of DataMarket?

DataMarket offers a simplified way to find, access, and act on data products using natural language search.

What is DataTrust used for?

DataTrust ensures data observability and quality through continuous monitoring and validation.

fEATURED

Data Products 101: What Is a Data Product?

This page offers a comprehensive overview of what is a data product, explaining its key components, evolution, and real-world applications. It provides businesses with insights into how data products can drive value and improve decision-making.

2023 Wisdom of Crowds Data Governance Market Study

Data Products 101: What Is a Data Product?

Resources

The Semantic Layer: The Key to Unlocking the Power of Data in Siloed Organizations

Turning Regulatory Challenges Into Opportunities: How Financial Institutions Can Leverage Datatrust

What Exactly is RightData?

What We Learned From the Gartner Data Conference 2023

Why Quality Matters: The 10 Biggest Data Quality Disasters

What Is Decision Intelligence?

Unleashing Data Potential: A Journey through Large Language Models and Gen AI in Data Management

What Is Data Mining?

What Is Data Pipeline Architecture?

Top Data Cleansing Techniques for a Pristine Data Ecosystem

Top 8 Trends for Data Management in 2023

The Five Strategies You Should Be Using to Ensure the Quality of Your Data

The Seven Steps to Data Quality

The Data Fabric Evolution

RightData’s Complete Data Integration Guide

The Beginner’s Guide to Data Observability

RightData's DataMarket Recognized as a Trend-Setting Product for 2024

Streamlining Complex Data Systems with Data Harmonization

Seven Features to Look for in a “Modern" Data Catalog

RightData's Sridhar Bankuru Sheds Light on Overcoming Data Usage Roadblocks in Latest Inside Big Data Article

Revolutionizing Data Management: The AI-Driven Future

RightData Places Third in Inaugural 2023 Data Governance Study from Dresner Advisory Services

Modern Data Stack Complexities

How to Choose the Right Data Integrations and DataOps Platform

Mastering ETL Mapping Tools and Techniques for Enterprise Success

Introducing the New Additions to the RightData Leadership Team

How Does a Dataset Become a Data Product?

Getting Started with Data Products Series: Part Two

Getting Started with Data Products Series: Part One

How to Build a Data Catalog

Getting Started with Data Products Series: Part Three

ETL Testing Tools

Ensuring Data Reliability: Best Practices for Data Leaders

Five reasons why generative AI will outpace the growth of traditional data science

Evolution of the Modern Data Stack: From ETL to ELT to ELTT

Dextrus Installation from Marketplace AMI

Database Design Consideration – Role of Schemas

DevOps To DataOps

Data Quality vs. Data Observability: What’s the Difference?

Data Products 101: What Is a Data Product?

Data Pipeline vs ETL: A Comparative Analysis for Data Leaders

Data Fabric vs. Data Mesh: Breaking Down the Differences Between the Two

A New Chapter: Unveiling the Revamped RightData

Common Issues When Migrating to the Cloud

Common Cloud Migration Security Challenges

Change Data Capture and When to Use It

A 2023 Content Retrospective - Embracing Generative AI and LLMs

6 Ways Generative AI Will Impact Data Management

7 Features to Look for in a Modern Data Catalog

Validation and Building Query Chains to Sync Financial Reporting (Granite)

MDM Data Quality Assurance & Control (P&G)

Data Trust for Compliance and Audit (RPMI)

Data Validation to Ensure Internal Data Integrity at EY

Data Observability: ETL Monitoring and Data Validation (Clario)

Comprehensive Data Quality for Devops Implementation (Johnson & Johnson)

Automated Data Testing Integrated Into CI/CD Framework (AF Group)

Automated Data Testing Integrated Into CI/CD Framework

What Is a Data Lakehouse?

Today’s Imperative for Data Democratization

The 5 W’s of Metadata

Private: Chapter 4: Top Features Within a Data Lakehouse

Private: Chapter 5: Data Lakehouse Challenges and Benefits

Machine Learning with DataFactory ML Studio

Private: Chapter 2: Background and History of Data Architecture and Lakehouses

How Kafka and the Pub/Sub Model Fits into Event Driven Architectures

Mitigating Risks in Data Migration and Data Platform Modernization

Machine Learning

Data Wrangling and the Machine Learning Life Cycle

Data Observability Limits

Data Migration Validation vs Data Observability

Chapter 3: The Key Differences Between Data Lakehouses, Data Lakes and Data Warehouses

DataTrust for Compliance

What is Data Democratization and Why is it Important?￼

The Power Of Data Mesh

Fintech South: Peter Cresse

EdenTree Use Case Video

RightData: The Modern Data Stack Evolved

What is Data Democratization and Why is it Important?

2023 Wisdom of Crowds Data Governance Market Study

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RightData Recognized in Gartner's 2024 Market Guide for Data Observability Tools
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RightData Highlighted in Gartner's 2024 Report: Essential Skills for Data Engineers to Succeed
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