Semi-structured data is data that does not conform to the table structures employed by traditional relational SQL databases. This type of data can contain complex values – arrays, nested and...
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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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There are many steps in the data journey toward uncovering business insights. In this article I’ll talk about the part Data Vault has to play, underpinned by the Snowflake Data Cloud’s storage and
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We’re always glad to be able to share valuable insights and tips from the experts in our Matillion Partner community. This week, James Beecham, Chief Technology Officer and Co-Founder of ALTR, a...
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We all know that enterprises struggle to keep pace with the complexity and volume of data. But a new survey of 450 data professionals at large enterprise organizations indicates a critical...
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Enterprises are dealing with an unprecedented influx of data, and forecasts indicate that growth will continue at an even faster pace in years to come. Working effectively and strategically with...
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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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When performing data extraction, organizations retrieve data from various sources–including databases, legacy systems, online transactions, software as a service (SaaS) platforms, web pages, and...
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So your software composition analysis (SCA) tool has let you know that your project includes a dependency that has a security problem. What do you do next? Well, obviously, you want to fix
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An ever-increasing number of data sources presents a huge challenge to enterprises working to integrate that data into their operations for analytics, machine learning, AI, and more. And not...
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What is a Data Pipeline? A data pipeline manages the flow of data from an initial source to a designated endpoint. An organization’s specific use cases, needs, and requirements determine what...
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What is machine learning used for? Machine learning has been around for decades, but in the era of Big Data, this type of artificial intelligence is in greater demand than ever before. Why? Simply...
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Recognition for our culture continues to grow as Matillion is once again awarded for our workplace. The 2021 UK’s Best Workplaces™ in Tech list recognized Matilllion among 98 ranked...
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We love our customers and want to give recognition to some of the great things you are doing with data and with Matillion. The Emerald Awards are your chance to shine. We launched the Emerald
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No more data connector anxiety – create your own custom connector in minutes Creating your own connector means never having to ask the question, “Does Matillion ETL have a connector for X?” again....
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The world is pivoting to data–it is the new currency, and it’s already changing how we work, live and play, and has the potential to do so much more. At Matillion, we want
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Information Gaps usually boil down to three challenges that organizations wrestle with when it comes to data: Implementation challenges, synchronization challenges, and data culture...
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In data, the term “real time” is a difficult topic to discuss, and even more difficult to define. Everyone has their own definition, which makes the conversation interesting, to say the...
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We’ve been talking a lot lately about Information Gaps. Information Gaps occur when analytics break down in the cloud, due to implementation challenges, lack of data synchronization or an...
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Today’s businesses aspire to be “data-driven,” but what does that really mean? In today’s terms, a data-driven business is one that uses data across the organization to: Quickly iterate...
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