DekarLab – Page 2 – Blog about big data processing and data-driven investments

Improving performance by reading data with Hive for HDFS using subfolders (partitioning)

6. June 2017 karden DATA PROCESSING

In our previous article we have discussed the root structure for HDFS. In this article we will discuss next level of the file structure, which will help to improve the speed of reading data.

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Raw, clean, and derived data in data lakes based on HDFS

3. June 2017 karden DATA PROCESSING

You may think, that there is no need to structure data in HDFS. You can systemize it in the future. But I think this is a wrong way. We should always keep in mind: there is no free lunch. Therefore it is better to make desicions at the beginning.

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Thoughts about schema-on-write and schema-on-read

2. June 2017 karden DATA PROCESSING

There are two approcahes, which we can select for designing storage of the data. They are schema-on-read and schema-on-write.

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How to integrate Apache Kylin OLAP In Excel (pivot) [XMLA Connect and Mondrian]

21. May 2017 karden DATA PROCESSING

Apache Kylin is very powerfull OLAP engine. It supports ODBC driver to move the data in excel, however this driver is not user friendly. Users should wright sql queries for this.

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Short note about HDFS or why you need distributed file system

21. May 2017 karden DATA PROCESSING

Why do you need HDFS (Hadoop Distributed Files System)? If the amount of data is small and place on your computer is enough for this, then you do not need distributed file system. But if you like to process a large amount of data, which is not possible to save on one computer, then you need to think about distributed file system.

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