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Telco 5G Returns Will Come from Enterprise Data Solutions

Cloudera

Part of this emphasis extends to helping enterprises deal with their data and overall cloud connectivity as well as local networks. At the same time, operators are also becoming more data- and cloud-centric themselves. The post Telco 5G Returns Will Come from Enterprise Data Solutions appeared first on Cloudera Blog.

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Navigating the Chaos of Unruly Data: Solutions for Data Teams

DataKitchen

The goal is to establish a system that can: Continual Monitoring of Tables (or buckets): Implement automated monitoring systems that continuously track changes across all database tables. Establish baseline metrics for normal database operations, enabling the system to flag deviations as potential issues.

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On-Demand: A Data Operating System: A Simple, Secure, Scalable Platform

The Modern Data Company

Companies need consistent, high-quality data and a straightforward way to measure CLV. In the past, organizations have struggled to implement CLV as a practical, value-generating metric, but a new data solution could help.

Systems 52
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A Data Engineer’s Guide to Building Reliable Systems

Monte Carlo

Over the years, I’ve helped companies of all sizes build and maintain data systems—from my days as a data engineer at Facebook to my current role as an end-to-end data solutions consultant. As a YouTuber and blogger , I’ve connected with data engineers from all over the world. The stakes also get higher.

Systems 52
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An Open Letter to Data Ninjas - Yes, You Need To Implement Data Contract System

Data Engineering Weekly

I took a break from data engineering and focused on system monitoring and observability for some time. Little did I know I would be building data pipelines to measure system efficiency instead of measuring business efficiency. As the famous saying goes; Once a data engineer, always a data engineer.

Systems 40
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SAP Hadoop Bringing Unique Big Data Solutions

ProjectPro

What follows is an elaborate explanation on how SAP and Hadoop together can bring in novel big data solutions to the enterprise. “SAP systems hold vast amounts of valuable business data -- and there is a need to enrich this, bring context to it, using the kinds of data that is being stored in Hadoop. .

Hadoop 40
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Building A Data Mesh Platform At PayPal

Data Engineering Podcast

TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. We do this for one simple reason: because time matters.

Building 147