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Nikita Dolgov's technical blog

Nikita Dolgov's technical blog. Aug 11, 2015. Is a column-oriented binary file format very popular in big data analytics circles. Nowadays it's probably impossible to find a sql-on-hadoop engine that does not support this format. The Parquet library makes it trivial. To write Avro and Protocol Buffers records to a file. Most of the time you can't beat the simplicity of a " df.write().parquet("some-file.par"). One would need to:. Class responsible for writing a record instance to Parquet output. This is t...

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Nikita Dolgov's technical blog. Aug 11, 2015. Is a column-oriented binary file format very popular in big data analytics circles. Nowadays it's probably impossible to find a sql-on-hadoop engine that does not support this format. The Parquet library makes it trivial. To write Avro and Protocol Buffers records to a file. Most of the time you can't beat the simplicity of a df.write().parquet(some-file.par). One would need to:. Class responsible for writing a record instance to Parquet output. This is t...

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Nikita Dolgov's technical blog | ndolgov.blogspot.com Reviews

https://ndolgov.blogspot.com

Nikita Dolgov's technical blog. Aug 11, 2015. Is a column-oriented binary file format very popular in big data analytics circles. Nowadays it's probably impossible to find a sql-on-hadoop engine that does not support this format. The Parquet library makes it trivial. To write Avro and Protocol Buffers records to a file. Most of the time you can't beat the simplicity of a " df.write().parquet("some-file.par"). One would need to:. Class responsible for writing a record instance to Parquet output. This is t...

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ndolgov.blogspot.com

1

Nikita Dolgov's technical blog: June 2010

http://www.ndolgov.blogspot.com/2010_06_01_archive.html

Nikita Dolgov's technical blog. Jun 15, 2010. Summer reading on actors. For a popular topic, I do not see enough design discussions around Actors online. It could be difficult to learn about idioms or pitfalls without going deep into OTP or Akka. Off the top of my head I can think of only two interesting blogs:. James Iry wrote a. On why Actors are not a silver bullet for all things concurrent. He is such a polished author you should read his posts even if you don't care much about Scala/actors.

2

Nikita Dolgov's technical blog: September 2010

http://www.ndolgov.blogspot.com/2010_09_01_archive.html

Nikita Dolgov's technical blog. Sep 3, 2010. Lies, damned lies, and bare metal. A former colleague wrote about. Something I occasionally think about. In my view the post touches on at least three areas that could result in a holy war ("The need for bare metal programming skills", "The need for strong concurrent programming skills", "The right approach to concurrent programming"). What fascinates me is that I am not aware of a coherent narrative for at least some of them. So with time some indirection lev...

3

Nikita Dolgov's technical blog: February 2012

http://www.ndolgov.blogspot.com/2012_02_01_archive.html

Nikita Dolgov's technical blog. Feb 26, 2012. Basic document and event analytics. Ultimately, and especially if you expect to find most of input data by crawling at scale, you will likely want to apply data mining techniques for classification, clustering or recommending. Those are vast areas and so in the first version you will probably limit yourself to a simplified approach where some useful functionality can be provided without a Hadoop server farm and a room of data scientists. The request is conver...

4

Nikita Dolgov's technical blog: May 2011

http://www.ndolgov.blogspot.com/2011_05_01_archive.html

Nikita Dolgov's technical blog. May 30, 2011. Zookeeper-based implementation of GridGain Discovery SPI. The GridGain team is not particularly fond of Zookeeper. Their argument is based on the need for a rather static configuration which is somewhat at odds with the original vision for the highly dynamic GridGain framework. Nevertheless, nowadays a growing number of products use ZK as their discovery service to enable SOA-style architecture. While GridGain is working on a distributed cache of their own.

5

Nikita Dolgov's technical blog: May 2015

http://www.ndolgov.blogspot.com/2015_05_01_archive.html

Nikita Dolgov's technical blog. May 3, 2015. Data storage for SparkSQL-based analytics. I have been mulling over the question of Spark-friendly data storage recently. My favorite use-case here is still the one where:. In a multi-tenant environment. You can provision enough memory for all/most of the data to reside in RAM. Your target system is expected to have response time of a few seconds, preferably less. When I imagine an ideal data storage in this context I see things such as:. My impression is that...

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Nikita Dolgov's technical blog

Nikita Dolgov's technical blog. Aug 11, 2015. Is a column-oriented binary file format very popular in big data analytics circles. Nowadays it's probably impossible to find a sql-on-hadoop engine that does not support this format. The Parquet library makes it trivial. To write Avro and Protocol Buffers records to a file. Most of the time you can't beat the simplicity of a " df.write().parquet("some-file.par"). One would need to:. Class responsible for writing a record instance to Parquet output. This is t...

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