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Demystifying the use of the Parquet file format for time series

In the world of data, the Parquet format plays an important role and it might be tempting to use it for storing time series. ....

Ted Dunning , Ellen Friedman , History File , Technology Preview , History File Stores , Time Series Platform , Interactive Analysis , Web Scale Datasets , Julien Le Dem , Time Series , Time Series Book , Complete Application , History File Store ,

What is DataOps? Collaborative, cross-functional analytics

DataOps (data operations) brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and skills to enable the data-driven enterprise. ....

Ted Dunning , Ellen Friedman , Michele Goetz , Dataops Manifesto , Machine Learning , Ivory Tower , Lakehouse Platform ,

Getting the Data You Need: Connecting Data Producers and Data Consumers

Finding, accessing, and using data effectively is one of the biggest issues companies face. Here’s a new approach to solving the challenge. ....

United Kingdom , Johannes Koch , Janice Zdankus , Ted Dunning , Suparna Bhattacharya , Robert Christiansen , Joanna Mckenzie , Hpe Ai Research , Data Lab , Agstack Foundation , Innovation Centre , Data You Can , Social Impact , Hewlett Packard Enterprise , Principal Data Scientist , Data Science , Data Fabric , Principal Technologist , Data Feeds , Object Store ,

Unlocking the secret to scale-efficient systems: A clue from skyscrapers

Unlocking the secret to scale-efficient systems: A clue from skyscrapers
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How to Discard Data: Solving the Hidden Challenge of Large-scale Data Deletion

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When you work with large-scale data, it’s important to “…know when to hold ‘em, know when to fold ‘em…”.
Most modern businesses rely on large-scale data, so it’s natural to focus on the best ways to quickly ingest and store huge amounts of data. But people often overlook how to delete data in very large-scale systems. It may sound simple, but it becomes a non-trivial task when data sets are in the tens of terabytes to petabyte or even exabyte scale.
The challenge of deleting large-scale data is a widespread issue that can have significant consequences if not done properly. For example, think about the ramifications of not following auditing requirements concerning data deletions mandated in the GDPR or California’s equivalent, CCPA. Even when data is deleted for more mundane reasons, such as freeing up resources, the process can have a negative impact on critical operations if a system is not built with specific mechan ....

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