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Demystifying the use of the Parquet file format for time series - Vimarsana News

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.

What is DataOps? Collaborative, cross-functional analytics - Vimarsana News

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.

Source: cio.com
Getting the Data You Need: Connecting Data Producers and Data Consumers - Vimarsana News

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.

Source: cio.com
How to Discard Data: Solving the Hidden Challenge of Large-scale Data Deletion - Vimarsana News

How to Discard Data: Solving the Hidden Challenge of Large-scale Data Deletion

shutterstock 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 conse...

Source: cio.com
Two-Way Traffic at the Edge: A Guide for Edge to Core Computing - Vimarsana News

Two-Way Traffic at the Edge: A Guide for Edge to Core Computing

shutterstock Unlike Las Vegas, what happens at the edge doesn’t stay at the edge. And that's half the challenge. People commonly think of edge computing as a glorified form of data acquisition or a local digital process control. In reality, edge is a lot more than both of those. It’s true that edge involves many data sources, usually at geo-distributed locations. But keep in mind, it’s the aggregate of that data that holds the key to value and insights. Analysis of the combined data is carried out at core data centers, and actions guided by the resulting insights often ne...

Source: cio.com