Today, data has a far greater impact on the trajectory of a company’s success than ever before. Modern, intelligent enterprises informed by data experience improvements in revenue growth,...
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Data mesh is a hot topic in data management circles. But what exactly is data mesh and why does it continue to spark debate? Paul Lacey, Senior Director of Product Marketing at Matillion,
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In this blog post, I’m going to talk you through how we created a framework to solve a problem. I’ll start by defining the problem, talk you through the framework we built as the solution,
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This is the final article in a five-part series on data integration. The series covers the following foundational topics: Data-Oriented Programming needs Data Integration – App and format...
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Business analytics tools have made it possible for companies of all sizes to gain tremendous insights from the data they collect. Whether it’s to improve decision making, optimize operations,...
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This is the fourth article in a five-part series on data integration. The series covers the following foundational topics: Data-Oriented Programming needs Data Integration – App and format...
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Do you have Information Gaps in your organization? The answer is probably yes–most enterprises do. What are Information Gaps? Enterprises strive to be data-driven, using data across the...
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To help deliver consistently quick and scalable value from data, it is vital that data processing pipelines are resilient against change and accessible to all. This is the first article in a
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DataOps is on the mind of many of our customers and companies working with data in the cloud. In this blog post, Abhinav Tiwari of DataKitchen, a technology partner of Matillion, explains how...
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Matillion is a cloud native platform for performing data integration using a Cloud Data Warehouse (CDW). It is flexible enough to support any kind of data model and any kind of data architecture. It
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The enterprise data universe is expanding exponentially. What used to be a relatively small number of data sources has exploded to thousands of potential sources, and there is no end in sight. The
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In the journey towards gaining value from data, it’s common to convert between formats. As discussed in this article, often it involves using Matillion to move data along the path from...
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Three kinds of data – structured, unstructured and semi-structured – are regularly used in data warehousing. They are typically used at distinct stages of processing, and different techniques...
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We love to see how our consulting partners are using Matillion to help their clients achieve new heights of productivity and innovation with modern analytics. In this guest blog post, the...
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Matillion ETL has a large set of top level integrations. Each of these integrations has a built–in, top-level connector so that users can easily extract data from sources and bring it into a...
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An interesting thing has happened with the rise of cloud data platforms. While our data warehouses and data lakes modernized and moved to the cloud, most ETL platforms did not. Traditional ETL...
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s If you’re working with data in a lakehouse, you’re going to want a cloud-native ELT platform for the lakehouse that takes advantage of the power and scalability of the cloud to create...
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We love to hear from our Partners about how they work with Matillion to help their clients make their data more useful and get the most out of their cloud investments. This week, Holt Calder
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In the latest release of Matillion Data Loader, even more of our connectors have schema drift support! Since our announcement of schema drift support, our goal has been to incorporate this...
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