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April 12, 2021

Jupyter Matlab kernel

Buat teman2 di tanah air yang belum beruntung utk mengakses matlab di kampus/sekolahnya (karena lisensinya yang mahal), bisa akses gratis matlab kernel (lisensi TUD)…

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January 25, 2020

Home Lab

I like to learn something new everyday, whether it is related to my PhD research (big data value creation) or not. I have investigated…

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January 24, 2020

Benchmark Python’s Dataframe: Pandas vs. Datatable vs. PySpark SQL

Setup Machine: 16-thread Xeon 2.6 GHz, 32 GB RAM, NVME PCIx16 System: Ubuntu 16.04, Spark 2.4.4, Python 3.7.4, Pandas 0.25.1, Datatable 0.10.1 Data: 100…

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June 4, 2019

Google BigQuery, a serverless Datawarehouse-as-a-Service to batch query huge datasets (Part 2)

How to use GBQ Note that the data should be located in Google cloud, whether in Google Cloud Storage, Google Drive, Cloud BigTable, or…

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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

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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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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