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Coalesce lands fresh capital to transform data at ‘enterprise scale’

TechCrunch

Their clients often encountered challenges in transforming data, Petrossian says, as well as documenting these transformations in a way that made intuitive sense. Moreover, 75% percent of data teams feel that outdated migration and maintenance processes are costing them productivity and capital.

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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.

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Hyper-Personalization in Banking: Leverage AI for transforming customer experience

Newgen Software

During my recent trip to London for a conference focused on how big data influences customer experience in financial institutions, I had an intriguing encounter. She needs to make sure the data engineering/scientist team validates the data and has the required infrastructure to start the modeling process.

Banking 52
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Why Are We Excited About the REAN Cloud Acquisition?

Hu's Place - HitachiVantara

Hybrid clouds must bond together the two clouds through fundamental technology, which will enable the transfer of data and applications. REAN Cloud is a global cloud systems integrator, managed services provider and solutions developer of cloud-native applications across big data, machine learning and emerging internet of things (IoT) spaces.

Cloud 78
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Network Traffic Intelligence for ISPs

Kentik

Given the advanced capabilities provided by cloud and big data technology, there’s no longer any justification for legacy monitoring appliances that summarize away all the details and force operators to swivel between siloed tools. ISPs can gain similar advantages by becoming far more data driven. Faster root-cause correlation.

Network 40
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Procurement Analytics: Challenges, Opportunities, and Implementation Approaches

Altexsoft

If you want to streamline your procurement and gain more visibility into this process, you have to get hold of available data, analyze it, and extract value to make informed decisions. What is procurement analytics and the opportunities it offers? Main components of procurement analytics. Procurement and its challenges.

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Data Product Strategies: How Cloudera Helps Realize and Accelerate Successful Data Product Strategies

Cloudera

A multi-purpose platform focused on diverse value propositions for data products. All these different experiences leverage the same underlying data, security and governance layer via the Control Plane and the Shared Data Experience that enable a high degree of integration and modularity between components.

Strategy 100