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Home / 2017 / September

Data lakes going the way of the visual spreadsheet?

  • ganadiotis
  • Sep 26, 2017
  • Analysis, Analytics, Data Lakes & Warehouses, News
  • No comments yet
Data lakes going the way of the visual spreadsheet?

If you're a spreadsheet kind of person with a ton of data sitting in a data lake, Datameer's new visual exploration feature may be your thing.

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TigerGraph, a graph database born to roar

  • ganadiotis
  • Sep 19, 2017
  • Analytics, Business, Databases, Graph Databases, Interview, News, Technical
  • No comments yet
TigerGraph, a graph database born to roar

Imagine your database of choice blown out of the water by a startup emerging from stealth. TigerGraph may have done just that for graph databases.

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Insight platforms as a service: What they are and why they matter

  • ganadiotis
  • Sep 15, 2017
  • Analysis, Analytics, Business, Cloud, Featured, Interview, Technical
  • No comments yet
Insight platforms as a service: What they are and why they matter

The convergence of cloud, automation and collaboration has created a new class of offerings for data driven insights. We take a look at their defining characteristics, featuring analysis from Forrester and commentary from Qubole.

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Raiders of the storm: The data science behind weather prediction

  • ganadiotis
  • Sep 13, 2017
  • AI / Machine Learning, Analysis, Analytics, Data Science, Featured, Interview, Technical, Use Case
  • No comments yet
Raiders of the storm: The data science behind weather prediction

What kind of data and techniques are used to model and predict weather and climate? How do you reduce uncertainty and communicate complexity? Are Harvey and Irma signs of climate change, and is it going to get worse?

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In-memory architecture + streaming data = Digital Twins?

  • ganadiotis
  • Sep 05, 2017
  • Analysis, Analytics, Featured, innovation, Interview, Real-time Data, Technical
  • No comments yet
In-memory architecture + streaming data = Digital Twins?

The Digital Twin is a buzzword in its prime time infancy. We take a look at what it is and how it relates to modern data architectures, examining ScaleOut's adoption and implementation and comparing with other alternatives.

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