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10 Advantages of Real-Time Data Streaming in Commerce


While early science fiction shows like “Buck Rogers” (1939) and “The Fly” (1950) depicted teleportation technology, it was Star Trek’s transporter room that made real-time living matter transfer a classical sci-fi trope. While we haven’t built technology that enables real-time matter transfer yet, modern science is pursuing concepts like superposition and quantum teleportation to facilitate information transfer across any distance […]

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Author: Rachel Workman and Jared Stiff

Building Data Pipelines with Kubernetes


Data pipelines are a set of processes that move data from one place to another, typically from the source of data to a storage system. These processes involve data extraction from various sources, transformation to fit business or technical needs, and loading into a final destination for analysis or reporting. The goal is to automate […]

The post Building Data Pipelines with Kubernetes appeared first on DATAVERSITY.


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Author: Gilad David Maayan

Why Is Data Quality Still So Hard to Achieve?


We exist in a diversified era of data tools up and down the stack – from storage to algorithm testing to stunning business insights. In fact, it’s been more than three decades of innovation in this market, resulting in the development of thousands of data tools and a global data preparation tools market size that’s set […]

The post Why Is Data Quality Still So Hard to Achieve? appeared first on DATAVERSITY.


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Author: Vasu Sattenapalli

Testing and Monitoring Data Pipelines: Part One


Suppose you’re in charge of maintaining a large set of data pipelines from cloud storage or streaming data into a data warehouse. How can you ensure that your data meets expectations after every transformation? That’s where data quality testing comes in. Data testing uses a set of rules to check if the data conforms to […]

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Author: Max Lukichev

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