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96 Percent of Businesses Can’t Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

Cloudera

According to 451 Research , 96% of enterprises are actively pursuing a hybrid IT strategy. Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. But how did the hybrid cloud come to dominate the data sector? .

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New Practices in Data Governance and Data Fabric for Telecommunications

Cloudera

for machine learning), and other enterprise policies. With the volumes of data in telco accelerating with the rapid advancement of 5G and IoT, the time is now to modernize the data architecture. .

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Understanding Digital Interactions in Real-Time

CIO Business Intelligence

Enterprises across industries have been obsessed with real-time analytics for some time. But this glittering prize might cause some organizations to overlook something significantly more important: constructing the kind of event-driven data architecture that supports robust real-time analytics. The open data stack.

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Deciphering the Pros & Cons of Real-Time Data Streaming

Smart Data Collective

It is essential to process sensitive data only after acquiring a thorough knowledge of a stream processing architecture. The data architecture assimilates and processes sizable volumes of streaming data from different data sources. This very architecture ingests data right away while it is getting generated.

IoT 110
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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.

IT 94
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Big Data Ingestion: Parameters, Challenges, and Best Practices

datapine

Velocity: Velocity indicates the frequency of incoming data that requires processing. Fast-moving data hobbles the processing speed of enterprise systems, resulting in downtimes and breakdowns. Veracity: Veracity refers to the data accuracy, how trustworthy data is. Big data: Architecture and Patterns.

Big Data 100
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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. This year’s submissions demonstrate outstanding innovation in advanced data processing, and the impact can be felt throughout their organizations, their industries, and our broader society. BUSINESS IMPACT.