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June 2, 2019

Google BigQuery, a serverless Datawarehouse-as-a-Service to batch query huge datasets (Part 1)

Next: Part 2 Google Big Query (GBQ) as a serverless service from Google Serverless is one of big data solution to watch in 2018…

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June 2, 2019

Apache Zeppelin, a polyglot data science tools

Use of polyglot application for big data exploratory will be more important in the future. It allows us to run multiple interpreters in a…

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June 1, 2019

Local runtime on Google Colab

Google Colab, a serverless notebook service provided by Google, offers the hosted runtime (kernel) with 3 options: 1) without GPU: 2 CPUs. 13 GB…

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June 1, 2019

Book review: AI Super Powers, Social Physics, Sensemaking

My key takeaway: these 3 books agree on one thing: in the age of cutting-edge technology implementation like AI, social media; social science (i.e.,…

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June 1, 2019

Book review: Weapons of math destruction

Another book with controversial ideas: instead of attaining the purpose of the objectives as intended, big data algorithms turn out to be a “destructive…

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June 1, 2019

Use of CDRs to investigate disease spread

Dealing with call detail records generated by mobile telecom (i.e., Base Subscriber Subsystem, Mobile Switching Center, and Billing System) was my job during 2005-2010….

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June 1, 2019

Big Data Expo NL

I was so lucky visiting the annual Big Data Expo @ Utrecht, the Netherlands on 19-20 September 2018 (https://www.bigdata-expo.nl/en) Here are some presentations I…

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June 1, 2019

The analytic function of MySQL

I just realized the newest version of MySQL (version 8.0) supported oracle-based “analytic function”, meanwhile his sister MariaDB had those two years ago.

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June 1, 2019

Deep learning inference on android phone

The demo that you’ll always see at any AI/IoT expo/exhibition!The difference is that I’m using my Android instead of a PC or a development…

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June 1, 2019

Battle of ML/DL framework on stand-alone vs. distributed platform

Will steep improvement of algorithm + decrease on hardware cost (CPU, memory, disk) drag the distributed approach irrelevant? IMHO, at this time, the winner…

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Recent Posts

  • Jupyter Matlab kernel
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  • Benchmark Python’s Dataframe: Pandas vs. Datatable vs. PySpark SQL
  • Google BigQuery, a serverless Datawarehouse-as-a-Service to batch query huge datasets (Part 2)
  • Apache Hadoop: What is that & how to install and use it? (Part 2)

Recent Comments

  • Google BigQuery, a serverless Datawarehouse-as-a-Service to batch query huge datasets (Part 1) - .:: Data Sains Lab ::. on Google BigQuery, a serverless Datawarehouse-as-a-Service to batch query huge datasets (Part 2)
  • Google BigQuery, a serverless Datawarehouse-as-a-Service to batch query huge datasets (Part 2) - .:: Data Sains Lab ::. on Be cautious to include legacy resources as part of the big data system
  • Apache Hadoop: What is that & how to install and use it? (Part 1) - .:: Data Sains Lab ::. on Apache Hadoop: What is that & how to install and use it? (Part 2)
  • Apache Hadoop: What is that & how to install and use it? (Part 1) - .:: Data Sains Lab ::. on Why we need a big data platform such as Hadoop & Spark?
  • Google BigQuery, a serverless batch query of big datasets - .:: Data Sains Lab ::. on Be cautious to include legacy resources as part of the big data system

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