What does it look and feel like to generate an actionable insight from a large set of raw input data? In this article, I will do exactly that: Determine some extremely useful insight from
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We are surrounded by ever more diverse sets of data. Much of this data is already distributed into the cloud, hosted by a rapidly expanding family of SaaS applications. Data sources underpin the
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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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Early on December 9, 2021, Chen Zhaojun of the Alibaba Cloud Security team announced to the world the discovery of CVE-2021-44228, a new zero-day vulnerability in Log4J impacting all versions...
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Building and maintaining a cloud data warehouse is an excellent way to help obtain value from your data. A couple of very common examples are: The data warehouse provides a single, consistent view
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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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Spatial data adds a unique aspect to analysis: the ability to generate insights based on location awareness. Location is one of a small number of universal correlation attributes that apply to...
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An introduction to data transformation The data transformation process can be complicated. Historically, it’s been an undertaking that requires advanced technical skill, but also one that many...
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Want the very best Matillion ETL experience? Each new version of Matillion is better than the last. Make sure you are on the latest version to take advantage of the new features, new components,
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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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Plenty of enterprises talk about doing more with data. Some are actively improving the way their data teams prepare data and increasing their employees’ access to data. And some organizations are...
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We’re back in Vegas! After a year off, AWS re:Invent 2021 is happening, starting on November 29 and running through December 2. Around 20,000 people are expected to attend this year’s event, and...
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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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