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Displaying posts with tag: Data Science (reset)

Using Apache Hadoop and Impala together with MySQL for data analysis
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Apache Hadoop is commonly used for data analysis. It is fast for data loads and scalable. In a previous post I showed how to integrate MySQL with Hadoop. In this post I will show how to export a table from  MySQL to Hadoop, load the data to Cloudera Impala (columnar format) and run a reporting on top of that. For the examples below I will use the “ontime flight performance” data from my previous post (Increasing MySQL performance with parallel query execution). I’ve used the

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MySQL and Hadoop integration
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Dolphin and Elephant: an Introduction

This post is intended for MySQL DBAs or Sysadmins who need to start using Apache Hadoop and want to integrate those 2 solutions. In this post I will cover some basic information about the Hadoop, focusing on Hive as well as MySQL and Hadoop/Hive integration.

First of all, if you were dealing with MySQL or any other relational database most of your professional life (like I was), Hadoop may look different. Very different. Apparently, Hadoop is the opposite to any relational database. Unlike the database where we have a set of tables and indexes, Hadoop works with a set of text files. And… there are no indexes at all. And yes, this may be shocking,

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Data Science vs. Data Analytics
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As this topic came up a few times this week for discussion at various places, I thought of composing a post on “Data Scientist vs. Data Analytics Engineer”; even though[...]
Showing entries 1 to 3

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