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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 2, 2019

Standardized patterns for improving the data quality of big data

Abstract: Data seldom create value by themselves. They need to be linked and combined from multiple sources, which can often come with variable data…

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June 2, 2019

Tableau, the “de facto” distributed visualization platform for big data

Long time not checked Tableau, this application has incorporated new connectors for recent technologies, e.g., Google Big Query, Spark SQL, etc. It surely positions…

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June 2, 2019

Spin up Oracle database in minutes using Docker

Oracle database is one of most wanted skill perhaps until today. As far as I know, compared to its rivals such as MySQL and…

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June 2, 2019

GPU Inference at Edge: NVIDIA Jetson TX-2

NVIDIA Jetson TX2, a 64-bit arm board equipped with 256 CUDA cores (Pascal architecture), has arrived at the home during the holiday season. I…

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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

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

Dataiku: flexible data science tools

In the previous post, the flexibility given by data science tools greatly reduces the performance, i.e., the execution speed. Fortunately, Dataiku, a data science…

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Recent Posts

  • Jupyter Matlab kernel
  • Home Lab
  • 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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