Mainstream Data and Data Pipelines
Mainstream Data needed a data solution to work across their entire client base, in Data Pipelines that's what they found.
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blog
A collection of 7 posts
The Real Challenge of No Code for Data Pipelines
No-code users make us think about our platform like no other. Keen builders of everything, their data requirements go well beyond feeding models and reports.
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The dangers of untrusted Spark SQL input in a shared environment
How to deal with untrusted Spark SQL
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Interoperability in Marketing
Interoperability refers to the ability of systems to share and make use of common data. A buzzword in tech and business analytics for some time, its latest eminence is in marketing, and 2021 is the year that its significance is going to be realised. Digital marketing is experiencing a shake-up.
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What is a Data Pipeline?
A data pipeline is a computing practice where one or multiple datasets are modified through a series of chronological steps. The steps are typically sequential each feeding the next with their amended version of the dataset. Once the data has been through all the steps the pipeline is complete and
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What is pipeline scheduling?
Pipeline scheduling is considered a crucial part of data pipeline development.
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Building a big data pipeline platform: Lesson 1
Our first lesson learnt as we leave development and turn our attention to a growing userbase.
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