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Dive Into A Data Deluge | Discussion about Newly Emerging Issues on Database

Discussion about Newly Emerging Issues on Database

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Dive Into A Data Deluge | Discussion about Newly Emerging Issues on Database | diveintodata.org Reviews
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Dive Into A Data Deluge | Discussion about Newly Emerging Issues on Database | diveintodata.org Reviews

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Discussion about Newly Emerging Issues on Database

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1

FOSS | Dive Into A Data Deluge

https://diveintodata.org/category/foss

Dive Into A Data Deluge. Discussion about Newly Emerging Issues on Database. Links about Array DBMSs. December 1, 2015. This article just lists resources available in Internet and papers about array DBMSs and scientific databases. An Array DBMS production. Array Databases: The Next Big Thing in Data Analytics? Applications of Array Data Model. ACM SIGMOD 2010 ( PDF. Made by other guy. Paper List of Brown Univ’s Data Management Research Group. Paper List of UW’s SciDB Branch. The Architecture of SciDB.

2

오픈소스 홍보를 위한 사이트 정리 | Dive Into A Data Deluge

https://diveintodata.org/2015/07/05/open-source-advertising

Dive Into A Data Deluge. Discussion about Newly Emerging Issues on Database. Larr; Oracle이 고려 중인 Java 9의 Unsafe API 제거 계획. 해쉬 함수 구현 (hash function implementation) 링크 정리. 오픈소스 홍보를 위한 사이트 정리. July 5, 2015. 오픈소스의 핵심은 커뮤니티와 사용자이기 때문에 홍보를 꾸준히 그리고 잘 해야 할 필요가 있다. 개발자 커뮤니티나 오픈소스 커뮤니티 사이트에서 홍보를 많이 하는데 매 릴리즈나 주요 로드맵 공개 때 마다 꾸준히 하는 것이 효과적이다. 추후 참고하기 위해 목록을 정리 한다. 글 또는 링크 포스트를 통한 홍보 사이트. Https:/ www.reddit.com. 8211; 적절한 카테고리에 홍보. Https:/ news.ycombinator.com. 등록을 통한 홍보 사이트. Https:/ www.openhub.net. Tajo 한글 문서화 프로젝트.

3

java | Dive Into A Data Deluge

https://diveintodata.org/tag/java

Dive Into A Data Deluge. Discussion about Newly Emerging Issues on Database. Oracle이 고려 중인 Java 9의 Unsafe API 제거 계획. July 15, 2015. 성능이 중요한 꽤 많은 자바 프로젝트 (하둡 등 데이터 처리 프로젝트들 역시)이 Java Unsafe API에 의존하고 있다. Unsafe API는 JVM에서 공식적으로 제공하는 API가 아닌 Oracle JDK에서 내부적인 사용을 목적으로 제공하는 API이다. JNI와 다른 기술이며 콜 오버헤드 없이 직접 native 코드로 실행된기 때문에 빠르고, C 와 같이 메모리를 동적할당할 수 있으며 bounding check 없는 배열 접근 등 다소 위험하지만 성능 좋은 API를 100여가지 제공한다. Removal of sun.misc.Unsafe in Java 9 – A disaster in the making. September 15, 2009. Jung provid...

4

database | Dive Into A Data Deluge

https://diveintodata.org/tag/database

Dive Into A Data Deluge. Discussion about Newly Emerging Issues on Database. 데이터베이스 시스템의 주제별 기초 논문들. May 25, 2015. 이라는 큰 주제 아래 각 세부 주제에 대한 기초. 논문 목록 들이다. 한참 학교에서 공부하던 시절에 정리하고 틈틈히 업데이트 했던 것 같다. 추후에 data processing이나 column store에 대한 논문들도 공유하도록 하겠다. 개인적으로 해당 분야나 문제를 접할 때 그 문제에 대한 가장 초기 논문들은 꼭 읽어보려고 노력한다. 그 이유는 그 논문들이 그 문제에 대해 가장 깊은 통찰력과 고민들을 많이 담고 있기 때문이며 후대의 논문들 일수록 초기 논문들이 한 고민이나 통찰은 기본적인 전제로 사용되고 문제 풀이 아이디어 위주로 기술되기 때문이다. 그래서 아래 리스트는 각 분야의 초기 논문들 및 전체를 정리하는 논문들 위주로 리스팅이 되어 있다. Michael Stonebraker et al...

5

hash | Dive Into A Data Deluge

https://diveintodata.org/tag/hash

Dive Into A Data Deluge. Discussion about Newly Emerging Issues on Database. 해쉬 함수 구현 (hash function implementation) 링크 정리. May 25, 2015. 이것도 한 3-4년전에 정리했다가 가끔 업데이트 한 것 같은데… 나름 괜찮은 링크가 몇 개 있어 공유한다. 이것도 앞으로는 이 페이지에서 업데이트를 하겠다. 오래 지나다보니 인터넷에 있는 정보라도 링크가 깨진 것들이 많아 지웠는데 아쉽다. 다행히 이 페이지. 는 web archive에서 찾을 수 있어 다행이다 싶다. Which hashing algorithm is best for uniqueness and speed? Can one construct a good hash function using CRC32C as a base? CRC32가 hash table등을 위한 목적으로 좋은가? 키가 uniform distribution으로 나오는가?

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Python vs. R for Data Science | Data Scientists

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Digging data, Big Data, Analysis, Data Mining. Python vs. R for Data Science. February 15, 2015. In Data Science there are two languages that compete for users. On one side there is R. On the other Python. Both have a huge userbase, but there is some discussion, which is better to use in a Data Science context. Lets explore both a bit:. R was developed solely for the purpose of statistical computing, so it has some advantages there, since it is specialized and has been around some years. Python is co...

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Pandas | Data Scientists

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Digging data, Big Data, Analysis, Data Mining. Python vs. R for Data Science. February 15, 2015. In Data Science there are two languages that compete for users. On one side there is R. On the other Python. Both have a huge userbase, but there is some discussion, which is better to use in a Data Science context. Lets explore both a bit:. R was developed solely for the purpose of statistical computing, so it has some advantages there, since it is specialized and has been around some years. Python is co...

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Numpy | Data Scientists

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Digging data, Big Data, Analysis, Data Mining. Python vs. R for Data Science. February 15, 2015. In Data Science there are two languages that compete for users. On one side there is R. On the other Python. Both have a huge userbase, but there is some discussion, which is better to use in a Data Science context. Lets explore both a bit:. R was developed solely for the purpose of statistical computing, so it has some advantages there, since it is specialized and has been around some years. Python is co...

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RPorjct | Data Scientists

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Digging data, Big Data, Analysis, Data Mining. Python vs. R for Data Science. February 15, 2015. In Data Science there are two languages that compete for users. On one side there is R. On the other Python. Both have a huge userbase, but there is some discussion, which is better to use in a Data Science context. Lets explore both a bit:. R was developed solely for the purpose of statistical computing, so it has some advantages there, since it is specialized and has been around some years. Python is co...

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Apache Spark | Data Scientists

http://datascientists.info/tag/apache-spark

Digging data, Big Data, Analysis, Data Mining. Tag Archives: Apache Spark. Apache Spark: The Next Big (Data) Thing? January 24, 2015. Became a Top Level Project at Apache almost a year ago, it has seen some wide coverage and adoption in the industry. Due to its promise of being faster than Hadoop MapReduce, about 100x in memory and 10x on disk, it seems like a real alternative to doing pure MapReduce. Machine Learning ( MLib. The easy integration into Amazon Web Services. Given the promised speed gain, t...

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Apache Spark: Then Next Big (Data) Thing? | Data Scientists

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Digging data, Big Data, Analysis, Data Mining. Apache Spark: The Next Big (Data) Thing? January 24, 2015. Became a Top Level Project at Apache almost a year ago, it has seen some wide coverage and adoption in the industry. Due to its promise of being faster than Hadoop MapReduce, about 100x in memory and 10x on disk, it seems like a real alternative to doing pure MapReduce. Machine Learning ( MLib. The easy integration into Amazon Web Services. Given the promised speed gain, the ease of use and the full ...

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Scikit | Data Scientists

http://datascientists.info/tag/scikit

Digging data, Big Data, Analysis, Data Mining. Python vs. R for Data Science. February 15, 2015. In Data Science there are two languages that compete for users. On one side there is R. On the other Python. Both have a huge userbase, but there is some discussion, which is better to use in a Data Science context. Lets explore both a bit:. R was developed solely for the purpose of statistical computing, so it has some advantages there, since it is specialized and has been around some years. Python is co...

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Imprint | Data Scientists

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Digging data, Big Data, Analysis, Data Mining. Angaben gemäß 5 TMG:. Verantwortlich für den Inhalt nach 55 Abs. 2 RStV:. Quelle: Impressumgenerator von eRecht24. Wir weisen darauf hin, dass die Datenübertragung im Internet (z.B. bei der Kommunikation per E-Mail) Sicherheitslücken aufweisen kann. Ein lückenloser Schutz der Daten vor dem Zugriff durch Dritte ist nicht möglich. Datenschutzerklärung für die Nutzung von Facebook-Plugins (Like-Button). Auf unseren Seiten sind Plugins des sozialen Netzwerks Fac...

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Python | Data Scientists

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Digging data, Big Data, Analysis, Data Mining. Python vs. R for Data Science. February 15, 2015. In Data Science there are two languages that compete for users. On one side there is R. On the other Python. Both have a huge userbase, but there is some discussion, which is better to use in a Data Science context. Lets explore both a bit:. R was developed solely for the purpose of statistical computing, so it has some advantages there, since it is specialized and has been around some years. Python is co...

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Datawarehouse | Data Scientists

http://datascientists.info/tag/datawarehouse

Digging data, Big Data, Analysis, Data Mining. Python vs. R for Data Science. February 15, 2015. In Data Science there are two languages that compete for users. On one side there is R. On the other Python. Both have a huge userbase, but there is some discussion, which is better to use in a Data Science context. Lets explore both a bit:. R was developed solely for the purpose of statistical computing, so it has some advantages there, since it is specialized and has been around some years. Python is co...

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