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TDWI Articles

Why Modernizing ETL Is Imperative for Massive Scale, Real-Time Data Processing

Enterprises must modernize their ETL processes to support cloud migration and other data and analytics strategies.

DataSecOps: Applying the DevSecOps Mindset to Data Security

Organizations that adapt quickly and develop a strong DataSecOps approach with clearly communicated processes can accelerate their data-driven innovation.

Conducting Post-COVID-19 Analytics with Limited Data

The past year left companies with a dearth of reliable information on their customers, but there are ways to make the most of what you do have.

5 Things to Look for in Your Next Data Science Platform

Finding the right data science tools is paramount if your team is to discover business insight. Here are five things to look for when you search for your next data science platform.

To Unleash Data Potential, Enterprises Need to Fully Embrace the Cloud

Embrace the scale and performance benefits of the cloud to improve data engineer productivity and reap the benefits of real-time, data-driven insights.

Why Understanding Data Gravity is the Key to Data Migration Success

Data platform migration succeeds when you invest enough time, money, and leadership to build a critical mass, shift the gravitational pull, and block old routes.

What You Need to Know About Data Modernization and the Cloud

Modernizing and migrating data means overcoming fear of the unknown.

The Role of Ontologies within Unified Data Models

Before tackling the complexity of disparate data sources, you need to understand how semantic abstraction layers can save you from a world of pain.

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