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4 Winning Strategies for Adopting Big Data Analytics

Strategy Driven

If you’ve decided that now is the time for your business to make the transition to Big Data Analytics; great choice. By embarking on a new campaign, any data that you use can be refined and then processed in an orderly fashion. The more you know, the better equipped you’ll be moving forward.

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Samooha launches with tech that lets companies securely share data

TechCrunch

Samooha , a startup developing a “cross-cloud” data collaboration platform, today announced that it raised $12.5 In brief, the platform lets businesses securely share, collaborate on and gain insights from their and their partners’ data, regardless of the underlying cloud and data stack.

Data 244
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What Big Data is Doing for Shipping on a Global Scale

CTOvision

According to experts, Big Data is the new big thing, and it is the tool that many shipping businesses will be using to provide that competitive edge that is so essential in today's economy. So, any tool that can increase productivity in this industry is huge. The Use of eLearning Solutions. Container Optimization.

Big Data 124
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Supercomputing ’12?—?Big Data Meets Big Compute

taos

Big Data Meets Big Compute First Published: November 12, 2012 By Simon Karpen?—?Taos One of the overriding themes of the conference tutorials and workshops is big data. In the recent past, many HPC problems have been of the “big compute, small data, embarrassingly parallel” variety.

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Scalapay raises $155M at a $700M valuation as buy now, pay later services continue to boom

TechCrunch

Scalapay , a buy now, pay later (BNPL) technology provider that has made significant headway with retailers and consumers in Europe and in categories like fashion, has closed a round of funding that it will be using to fuel its expansion ambitions. We are impressed by their product development pipeline and strong focus on merchant success.

Fashion 232
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Handling real-time data operations in the enterprise

O'Reilly Media - Data

Getting DataOps right is crucial to your late-stage big data projects. At Strata 2017 , I premiered a new diagram to help teams understand why teams fail and when: Early on in projects, management and developers are responsible for the success of a project. A data pipeline needs love and attention. What does the Ops say?

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Data engineers vs. data scientists

O'Reilly Media - Data

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.