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#bytescrolls | bytescrolls.blogspot.com Reviews

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java, scala, bigdata, hadoop, database

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#bytescrolls: March 2010

http://bytescrolls.blogspot.com/2010_03_01_archive.html

Mar 9, 2010. Parallel Databases and Map Reduce. N 2007 Google handled 400 petabytes. Of data per month. It was Map Reduce. And the competitors were Dyrad. Architects were reinventing parallel databases. Data is partitioned across multiple disks. The parallel I/O enables relational operations like join executed in parallel. Teradata. Is one of the highly parallel database machines uses shared-nothing architecture. Google called it sharding. Infinitely scalable almost simply by adding nodes. Projection(yea...

2

#bytescrolls: April 2011

http://bytescrolls.blogspot.com/2011_04_01_archive.html

Apr 13, 2011. Interesting uses of sun.misc.Unsafe. Inspired from the question. That found in stackoverflow, I started looking up for the uses. I found some pretty interesting ones. VM "intrinsification." ie CAS (Compare-And-Swap) used in Lock-Free Hash Table. S eg: sun.misc.Unsafe.compareAndSwapInt. It can make real JNI. Calls into native code that contains special instructions for CAS. Read more about CAS here http:/ en.wikipedia.org/wiki/Compare-and-swap. The sun.misc.Unsafe. Tracing the call stack and...

3

#bytescrolls: Machine generated data

http://bytescrolls.blogspot.com/2012/08/machine-generated-data.html

Aug 1, 2012. At first, the term " machine-generated data. Can be confusing. One would think, every data is (or are? MGD) is the generic term for information. Which was automatically created from a computer process. Or other machine without the intervention of a human. According to Monash Research,. In classical human-generated data,. What’s recorded is the direct result of human choices. So what are they? Are they stream of logs flowing through the information super waterway? Tracks crashing or errors.

4

#bytescrolls: Unicode features in various languages

http://bytescrolls.blogspot.com/2012/12/unicode-features-in-various-languages.html

Dec 17, 2012. Unicode features in various languages. Here’s what each language natively supports in its standard distribution. From Tom Christiansen Unicode Support Shootout: The Good, the Bad, the Mostly Ugly. A grapheme is the smallest semantically distinguishing unit in a written language, analogous to the phonemes of spoken languages. Is used to handle the mapping of upper-case, lower-case, and title case characters for a given language. What is the difference between case mapping and case folding.

5

#bytescrolls: Eventual Consistency

http://bytescrolls.blogspot.com/2012/12/eventual-consistency.html

Dec 18, 2012. Subscribe to: Post Comments (Atom). Unicode features in various languages. There was an error in this gadget. Google Guice - sample code on multiple bindings. Google Guice is a dependency injection framework in Java.Its lightweight because it is not a container like other AOP(Aspect Oriented Progr. How Stuff Works: Spring Component Scanning. Spring has an interesting feature of scanning its components defined and load it.So the configuration is tied to application ie the code, us. Spark #ha...

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[How To] Implementing Shindig. | Code in my Bug!

https://projectbee.org/blog/archive/how-to-implementing-shindig

Code in my Bug! Bipin's experiments with life, society, programming, hacking, and other stuff. How To] Implementing Shindig. Bull; September 30, 2008 • apache. Bull; 3 Comments. I should have written an article/tutorial on how to implement/use Shindig to convert your SNS into and OpenSocial compliant SNS. Time, however, has prevented me from doing it so far. May be sometime later. Is what can help your site become OpenSocial compliant. Phpcamp]Shindig An OpenSocial container. In the initial slides. 🙂.

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code@deepinspace.net: Do that side project

http://code.deepinspace.net/2009/12/do-that-side-project.html

Saturday, 12 December 2009. Do that side project. Do that side project. How many times have you told yourself. I'll start that open source project I've been thinking of. I'll write that utility which will make my job easier. I'll enroll for that course on Artificial Intelligence and write that amazing recommendation system. And then did nothing? Well, guess what. Time passes. Yes, really. How we spend our days is, of course, how we spend our lives.". Think about that for a moment. Ya I found time . I wro...

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Run Datastax Graph in a docker container for windows hosts. A simple recommender system for your e-commerce store using a graph database. Orient DB - A simple ETL use case note. Analytics by SQL and Spark using Apache Zeppelin. Json parsing, Scala way. Simple metastore creation for Hive in MySQL. Unicode features in various languages. Nodeable - Realtime Insights. Hadoop meetup @inmobi Bangalore. Creating index in Hive. What's it about Cascading? The mythical unstructured data! Subscribe to: Posts (Atom).

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