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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates.

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Inside Nasdaq’s AI-fueled pivot to SaaS provider

CIO Business Intelligence

Nasdaq, which went public in 2005, employs 7,000, roughly 3,000 of which are devoted to its massive IT organization, which develops an expanding range of technology products, including the trading system, security and surveillance software, and, increasingly, SaaS. We’ve become the Salesforce or Workday for the financial industry,” he says.

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Bridging the Gap Between Analytics Expectations and Reality

Sisense

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. 39% of companies want to identify new revenue and business opportunities with data analytics.

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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. During his professional career, he has been extensively involved in complex digital transformation projects. The ingestion approach is not in scope of this post.

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How Product Teams are Creating the Workplace of the Future

Sisense

The number of people who work from home has already increased by 170% since 2005. By democratizing the use of Big Data and AI, product teams can ensure these benefits are realized by an entire workforce. “As This is a lot to grapple with. This is easier said than done.