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Home / Topics / Data / Page 16

Reflect: Embedded meta analytics, built for developers

  • ganadiotis
  • Feb 15, 2018
  • Analytics, Interview, News, Software Engineering, Technical
  • No comments yet
Reflect: Embedded meta analytics, built for developers

Cloud-based analytics for on premise data, an API-first approach for embedded product analytics, and impact-based pricing. Meet Reflect.

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HarperDB: An underdog SQL / NoSQL database

  • ganadiotis
  • Feb 07, 2018
  • Databases, Internet of Things, Interview, News, Technical
  • No comments yet
HarperDB: An underdog SQL / NoSQL database

HarperDB flies in the face of conventional wisdom in a number of ways. But does the world need another database?

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The Reskilling Revolution: Taking control of skills with Open Badges

  • ganadiotis
  • Feb 02, 2018
  • Analysis, Business, Data Governance, Featured, Future of Work, Interview, Knowledge Graphs, Socio-Technical, Technical
  • No comments yet
The Reskilling Revolution: Taking control of skills with Open Badges

In a rapidly shifting job market, being able to formalize skills is a requirement for job seekers and employers going forward. Open Badges is a data specification that may be able to help do that.

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From graph to the world: pioneering a database virtual machine

  • ganadiotis
  • Jan 22, 2018
  • Analysis, Databases, Featured, Graph Databases, innovation, Interview, Technical
  • No comments yet
From graph to the world: pioneering a database virtual machine

What are the options for querying graphs, and how do we go from that to the equivalent of a virtual machine for databases?

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Opening banking data and APIs: Land of opportunity or Pandora’s box?

  • ganadiotis
  • Jan 16, 2018
  • Analysis, Analytics, Business, Data Governance, Featured, Interview, Regulation, Technical, Use Case
  • No comments yet
Opening banking data and APIs: Land of opportunity or Pandora’s box?

The EU directive PSD2 may not be as famous as GDPR, but its effects may be even more dramatically felt by financial institutions and anyone transacting with them.

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The year of the graph: Getting graphic, going native, reshaping the landscape

  • ganadiotis
  • Jan 08, 2018
  • Analysis, Business, Databases, Featured, Graph Databases, Technical
  • No comments yet
The year of the graph: Getting graphic, going native, reshaping the landscape

The year of the graph is here. Do you really need a graph database, and, if yes, how do you choose one?

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Fit by Data: Where data and fitness overlap

  • ganadiotis
  • Dec 27, 2017
  • Analysis, Analytics, Business, Interview, Use Case
  • No comments yet
Fit by Data: Where data and fitness overlap

Committing to stay fit is a typical new year's resolution, but one that just as typically goes down the drain soon. Could it be that it's not entirely your fault, and what's data got to do with it?

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Big data, crystal balls, and looking glasses: Reviewing 2017, predicting 2018

  • ganadiotis
  • Dec 18, 2017
  • AI / Machine Learning, Analysis, Analytics, Business, Databases, Featured, Real-time Data, Technical
  • No comments yet
Big data, crystal balls, and looking glasses: Reviewing 2017, predicting 2018

It's this time of year again, when crystal balls meet data. Here's what's kept the data world busy in 2017, and will most likely continue to do so in 2018.

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Welcome to the data-driven machine: Digital transformation in the construction industry

  • ganadiotis
  • Dec 14, 2017
  • Analysis, Analytics, Business, Featured, Internet of Things, Interview, Use Case
  • No comments yet
Welcome to the data-driven machine: Digital transformation in the construction industry

IoT is an enabler for unabridged data collection, which in turn enables new applications and business models. In the construction industry, some like Caterpillar have been doing it for years, others like Volvo CE are late into this game but catching up.

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Going data-driven on a budget

  • ganadiotis
  • Dec 04, 2017
  • Analysis, Analytics, Business, Interview, Socio-Technical, Use Case
  • No comments yet
Going data-driven on a budget

How can you think and do data analysis globally, aiming to act and have an impact locally, when the data you need is scattered and incomplete and your resources are limited? And what does an analysis on the affordability of data plans around the world show?

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