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June 3, 2019

Apache Hadoop: What is that & how to install and use it? (Part 2)

Part 2: How to install a standalone Hadoop Now, we are going to install a standalone Hadoop. The easiest way is to use VM…

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June 3, 2019

Apache Hadoop: What is that & how to install and use it? (Part 1)

Next: How to install a standalone Hadoop Part 1: Understanding Apache Hadoop as a Big Data Distributed Processing & Storage Cluster In the last…

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June 2, 2019

High Performance Computing (HPC) TU Delft

High performance computing (HPC): What is it and what is it used for? I am so grateful to have access to wealthy resources of…

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June 2, 2019

Big Data & AI landscape 2018

As described by AgileEngine (https://agileengine.com/megatrends-in-big-data/), there are four megatrends in big data in 2019, i.e.:1) From “big data” to “just data” because most organizations…

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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

Repository of public datasets

For anyone who is looking for datasets for his/her project.

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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

Big Data Application & eTOM

Which department in an enterprise is concerned with a certain big data objective? The most compelling answer is to combine the eTOM framework with…

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June 2, 2019

Google Conversation atop Translate API

I met a lot of potential Indonesians, but lack of English made them unconfident to deliver their capability. I just noticed Android’s conversation service…

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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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