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The last several years have seen the data landscape transform at pace. While organizations on the whole are becoming better at transforming and moving data, and more dedicated to deriving insights...
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A data governance program establishes standards, policies, and procedures to ensure that an organization uses information in its systems effectively and in alignment with its business objectives....
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Stored procedures have been a part of database technology for a long time. In a typical modern data fabric, you are likely to find stored procedures both in source databases and in your target cloud
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One of the world’s leading tourism groups, the TUI group umbrella globally incorporates 1600 travel agencies, five airlines and over 400 hotels. All these operational systems capture large amounts...
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Metadata management is one of several vital practices included in a holistic data governance program. What is metadata management? While other governance disciplines—data quality (DQ) or master...
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AWS recently announced the release of new serverless offerings to help organizations simplify the management of their data and analytics environments. Amazon Redshift Serverless enables customers...
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Have you ever used a badly written website and annoyingly had to type in everything again, or re-select all the choices one by one? These are problems of state management. Every front-end...
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If your company is like most, you’re employing some version of an extract, load, and transform (ELT) or extract, transform, and load (ETL) process to migrate business data to a central data...
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As we explored in our recent blog, Accelerating Time to Insight with Better Data Management, 94% of enterprises now say data is essential to business growth. Yet, many organizations face...
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Today, pretty much every decision – from the shows your streaming service recommends to the price you pay for lunch – is decided by algorithms crunching significant amounts of ones and zeros. And...
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The ability to capture data change for analytics is paramount for data teams to deliver business-ready insights that can make a big impact. For use cases like fraud detection, real-time marketing...
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This article will help you understand the concepts behind IP addresses. It will describe the concept of subnets, and will explain when to use public and private IP addresses. This information will...
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Matillion is very excited to be named in The Gartner® Magic QuadrantTM for Data Integration Tools for 2022. This is the third year in a row that Matillion, with its cloud-native data integration...
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The use of cloud data is changing how organizations work with and use their data. Business demand for data is at an all-time high and data teams are racing to keep up. In order to
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Python has become central to creating data pipelines, helping advance and accelerate data from source systems into data integration tools such as the Matillion platform. Python is a popular coding...
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Matillion is a low-code / no-code platform for data transformation and integration. As part of that, Matillion ETL enables you to build easily maintainable data processing workflows that help...
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Data Mesh is an architectural approach, involving people, processes, and technology. Its goal is to help design data platforms that can provide value in a scalable way. This article will explain...
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This is an article for data modelers who are using Matillion. It contains tips and best practices for implementing Fact tables in a Star Schema design. Prerequisites The prerequisites for...
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This is an article for data modelers who are using Matillion. It contains tips and best practices for implementing Dimension tables in a Star Schema design. Prerequisites The prerequisites for...
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This is an article for data modelers using Matillion. It describes how to implement a Star Schema design that includes Dimension and Fact tables. Prerequisites The prerequisites for building a...
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