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National Grid’s energy transformation is fueled by IT

CIO Business Intelligence

Modernizing a utility’s data architecture. These capabilities allow us to reduce business risk as we move off of our monolithic, on-premise environments and provide cloud resiliency and scale,” the CIO says, noting National Grid also has a major data center consolidation under way as it moves more data to the cloud.

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Surviving Radical Disruption with Data Intelligence

erwin

And this time sensitivity is a massive issue, as taking a proactive and data-driven approach can literally mean life or death to your business or to your customers. And that’s where data analytics can play a huge role. The result is an automated, real-time, high-quality data pipeline from which accurate insights can be derived.

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3 Key Factors Influencing Data Center Modernization

CDW Research Hub

For organizations trying to get a better handle on their data so they can see how it affects their business outcomes, the digital age has accelerated the need for modernizing the data centers. Companies are turning to modernization for providing additional security to the obvious risks of downtime resulting from aging infrastructure.

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Snowflake: Data Ingestion Using Snowpipe and AWS Glue

BizAcuity

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.

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Snowflake: Data Ingestion Using Snowpipe and AWS Glue

BizAcuity

Introduction In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. Data ingestion must be performant to handle large amounts of data.,

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Sharpening Cloudera’s Cloud Focus in Asia Pacific and Japan

Cloudera

And yet, we are only barely scratching the surface of what we can do with newer spaces like Internet of Things (IoT), 5G and Machine Learning (ML)/Artificial Intelligence (AI) which are enabled by cloud. In the past, businesses tended to hesitate to move critical workloads or sensitive data to the cloud, especially to the public cloud.

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Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

Cloudera

However, this year, it is evident that the pace of acceleration to modern data architectures has intensified. .” – Cornelia Levy-Bencheton. Every year, the caliber of submissions goes up many notches. Organizations have doubled their commitments to digital transformations.