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Home / Topics / Data / Page 13

From big data to AI: Where are we now, and what is the road forward?

  • ganadiotis
  • Nov 21, 2018
  • AI / Machine Learning, Analysis, Conference, Data Science, Featured
  • No comments yet
From big data to AI: Where are we now, and what is the road forward?

It took AI just a couple of years to go from undercurrent to mainstream. But despite rapid progress on many fronts, AI still is something few understand and fewer yet can master. Here are some pointers on how to make it work for you, regardless of where you are in your AI journey.

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ScyllaDB achieves Cassandra feature parity, adds HTAP, cloud, and Kubernetes support

  • ganadiotis
  • Nov 06, 2018
  • Databases, Interview, News, Open Source, Technical
  • No comments yet
ScyllaDB achieves Cassandra feature parity, adds HTAP, cloud, and Kubernetes support

ScyllaDB, the open-source drop-in replacement for Apache Cassandra, is growing up. Version 3.0 closes the gap in terms of features, and has a few extras to add on top of superior performance over Cassandra.

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MemSQL 6.7 brings free tier and performance enhancement: Transactions for nothing, and faster queries for free

  • ganadiotis
  • Nov 06, 2018
  • Data Lakes & Warehouses, Databases, Interview, News, Technical
  • No comments yet
MemSQL 6.7 brings free tier and performance enhancement: Transactions for nothing, and faster queries for free

MemSQL is not the first database to offer a free tier. But this one comes with full functionality to support real-world use cases, while also improving performance for typical data warehousing queries by a factor of 100.

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Processing time series data: What are the options?

  • ganadiotis
  • Sep 28, 2018
  • Analysis, Databases, Featured, Interview, Real-time Data, Technical
  • No comments yet
Processing time series data: What are the options?

Get your data from everywhere you can, anytime you can, they said, so you did. Now, you have a series of data points through time (a time series) in your hands, and you don't know what to do with it? Worry not, because there's a bunch of options.

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The past, present, and future of streaming: Flink, Spark, and the gang

  • ganadiotis
  • Sep 11, 2018
  • Analysis, Conference, Featured, Interview, Real-time Data, Technical
  • No comments yet
The past, present, and future of streaming: Flink, Spark, and the gang

Reactive, real-time applications require real-time, eventful data flows. This is the premise on which a number of streaming frameworks have proliferated. The latest milestone was adding ACID capabilities, so let us take stock of where we are in this journey down the stream — or river.

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Google can now search for datasets. First research, then the world?

  • ganadiotis
  • Sep 05, 2018
  • Data, Featured, innovation, Interview, News, Technical
  • No comments yet
Google can now search for datasets. First research, then the world?

Did you ever need data on a topic you wanted to research, and had a hard time finding it? Wish you could just Google it? Well, now you can do that.

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The web as a database: The biggest knowledge graph ever

  • ganadiotis
  • Aug 30, 2018
  • Data, Featured, Interview, Knowledge Graphs, News, Technical
  • No comments yet
The web as a database: The biggest knowledge graph ever

Imagine you could get the entire web in a database, and structure it. Then you would be able to get answers to complex questions in seconds by querying, rather than searching. This is what Diffbot promises.

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Data-driven disaster relief: Measuring the impact of emergency response

  • ganadiotis
  • Aug 17, 2018
  • Analytics, Interview, News, Socio-Technical, Use Case
  • No comments yet
Data-driven disaster relief: Measuring the impact of emergency response

With natural disasters picking up in frequency and intensity, the role of NGOs in disaster relief is picking up as well. A key requirement for all NGOs is transparency, and applying data-driven techniques may help.

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Zen and the art of data structures: From self-tuning to self-designing data systems

  • ganadiotis
  • Aug 06, 2018
  • AI / Machine Learning, Analysis, Databases, Featured, innovation, Interview, Technical
  • No comments yet
Zen and the art of data structures: From self-tuning to self-designing data systems

Designing data systems is something few people understand, and it's very hard and costly. But that, too, could be automated, says new research from Harvard, and we're about to start seeing it in real life.

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Radio data and the future of broadcasters: Using attribution analysis to measure consumer behavior

  • ganadiotis
  • Aug 01, 2018
  • Analysis, Analytics, Business, Data Science, Interview, Technical, Use Case
  • No comments yet
Radio data and the future of broadcasters: Using attribution analysis to measure consumer behavior

Is it possible to determine how effective radio advertising really is? TagStation says yes, using a method called attribution analysis, and this may be key for the future of broadcasters.

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