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What happens when you mess up data modeling?

Xebia

However, in Xebia Data’s Analytics Engineering team’s day-to-day work for clients, we still see small and large companies struggling to address most of the core concepts. ‘Shadow BI’ and the discussion on where to do data modeling in your pipeline is a topic we will cover in a future blog post!

Data 130
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Hybrid Data Cloud Success for State and Local Governments

Cloudera

State and local governments generate and store enormous amounts of data essential to their ability to deliver citizen services. Data doesn’t arrive on the doorsteps of government offices as a neatly packaged asset. Data doesn’t arrive on the doorsteps of government offices as a neatly packaged asset. But that alone is too broad.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

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FedRAMP In Process Designation, A Milestone in Cybersecurity Commitment

Cloudera

It’s been said that the Federal Government is one of, if not the largest, producer of data in the United States, and this data is at the heart of mission delivery for agencies across the civilian to DoD spectrum. FedRAMP requires that we meet strict security standards to protect government data.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Keep data lineage secure and governed.

Analytics 111
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Optimizing the Energy Sector with Data Analytics

Cloudera

In this respect, several studies project that a proper use of advanced analytics implies savings of between 5% and 7.5%. The impact of the use of different analytical techniques in this field increases the profitability of these companies by 5% to 10%, at the same time increasing the brand value by increasing customer satisfaction.

Energy 84
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A Closer Look at The Next Phase of Cloudera’s Hybrid Data Lakehouse

Cloudera

AI, and any analytics for that matter, are only as good as the data upon which they are based. Faced with unique challenges around distributed data infrastructures, governance, and an evolving security landscape, enterprises need the right support to fully tap into AI quickly. And that’s where the rub is.

Data 90