這些年,我們一起追的Hadoop以及找不到老師教的技術,想辦法變 成自己的專長。 目前負責 Java 與 .NET 雲端運算相 關技術的推廣,主要包括 Hadoop Platform 與 NoSQL 等 Big Data 相關 應用,Google App Engine、Microsoft Azure 與 CloudBees 等雲端平台的運 用,以及 Android、Windows Phone 等 Smart Phone 的應用程式開發。 PS. 除了我的照片之外,投影片裡頭 (Slave)! 10 / 74 Hadoop 1.x 架構與限制 比較基本的模組: Hadoop HDFS (Storage) Hadoop MapReduce (Computing Engine + Resource Management + Job Scheduling / Monitoring + ...) 比較明顯的限制: 每個 Cluster 大概就是 4,000 - 4,500 從 Batch 應用變成 Data Operating System: 透過 MapReduce 進行 Batch Processing 透過 Hive 與 Tez 進行 Interactive SQL Query ... 15 / 74 MapReduce 改造前 Hadoop 原來的架構,MapReduce 是一切應用的基礎 所有 Job 都得轉換成 MapReduce 16 / 740 码力 | 74 页 | 45.76 MB | 1 年前3
Julia 1.11.4missing object, which is the singleton instance of the type Missing. missing is equivalent to NULL in SQL and NA in R, and behaves like them in most situations. 21.1 Propagation of Missing Values missing This follows the well-established rules of three-valued logic which are implemented by e.g. NULL in SQL and NA in R. This abstract definition corresponds to a relatively natural behavior which is best explained Nothing} arguments or fields. To represent missing data in the statistical sense (NA in R or NULL in SQL), use the missing object. See the Missing Values section for more details. In some languages, the0 码力 | 2007 页 | 6.73 MB | 3 月前3
Julia 1.11.5 Documentationmissing object, which is the singleton instance of the type Missing. missing is equivalent to NULL in SQL and NA in R, and behaves like them in most situations. 21.1 Propagation of Missing Values missing This follows the well-established rules of three-valued logic which are implemented by e.g. NULL in SQL and NA in R. This abstract definition corresponds to a relatively natural behavior which is best explained Nothing} arguments or fields. To represent missing data in the statistical sense (NA in R or NULL in SQL), use the missing object. See the Missing Values section for more details. In some languages, the0 码力 | 2007 页 | 6.73 MB | 3 月前3
Julia 1.11.6 Release Notesmissing object, which is the singleton instance of the type Missing. missing is equivalent to NULL in SQL and NA in R, and behaves like them in most situations. 21.1 Propagation of Missing Values missing This follows the well-established rules of three-valued logic which are implemented by e.g. NULL in SQL and NA in R. This abstract definition corresponds to a relatively natural behavior which is best explained Nothing} arguments or fields. To represent missing data in the statistical sense (NA in R or NULL in SQL), use the missing object. See the Missing Values section for more details. In some languages, the0 码力 | 2007 页 | 6.73 MB | 3 月前3
julia 1.10.10missing object, which is the singleton instance of the type Missing. missing is equivalent to NULL in SQL and NA in R, and behaves like them in most situations. 20.1 Propagation of Missing Values missing This follows the well-established rules of three-valued logic which are implemented by e.g. NULL in SQL and NA in R. This abstract definition corresponds to a relatively natural behavior which is best explained Nothing} arguments or fields. To represent missing data in the statistical sense (NA in R or NULL in SQL), use the missing object. See the Missing Values section for more details.CHAPTER 37. FREQUENTLY ASKED0 码力 | 1692 页 | 6.34 MB | 3 月前3
Julia 1.10.9missing object, which is the singleton instance of the type Missing. missing is equivalent to NULL in SQL and NA in R, and behaves like them in most situations. 20.1 Propagation of Missing Values missing This follows the well-established rules of three-valued logic which are implemented by e.g. NULL in SQL and NA in R. This abstract definition corresponds to a relatively natural behavior which is best explained Nothing} arguments or fields. To represent missing data in the statistical sense (NA in R or NULL in SQL), use the missing object. See the Missing Values section for more details.CHAPTER 37. FREQUENTLY ASKED0 码力 | 1692 页 | 6.34 MB | 3 月前3
Julia 1.12.0 RC1missing object, which is the singleton instance of the type Missing. missing is equivalent to NULL in SQL and NA in R, and behaves like them in most situations. 21.1 Propagation of Missing Values missing This follows the well-established rules of three-valued logic which are implemented by e.g. NULL in SQL and NA in R. This abstract definition corresponds to a relatively natural behavior which is best explained Nothing} arguments or fields. To represent missing data in the statistical sense (NA in R or NULL in SQL), use the missing object. See the Missing Values section for more details. In some languages, the0 码力 | 2057 页 | 7.44 MB | 3 月前3
Julia 1.12.0 Beta4missing object, which is the singleton instance of the type Missing. missing is equivalent to NULL in SQL and NA in R, and behaves like them in most situations. 21.1 Propagation of Missing Values missing This follows the well-established rules of three-valued logic which are implemented by e.g. NULL in SQL and NA in R. This abstract definition corresponds to a relatively natural behavior which is best explained Nothing} arguments or fields. To represent missing data in the statistical sense (NA in R or NULL in SQL), use the missing object. See the Missing Values section for more details. In some languages, the0 码力 | 2057 页 | 7.44 MB | 3 月前3
Julia 1.12.0 Beta3missing object, which is the singleton instance of the type Missing. missing is equivalent to NULL in SQL and NA in R, and behaves like them in most situations. 21.1 Propagation of Missing Values missing This follows the well-established rules of three-valued logic which are implemented by e.g. NULL in SQL and NA in R. This abstract definition corresponds to a relatively natural behavior which is best explained Nothing} arguments or fields. To represent missing data in the statistical sense (NA in R or NULL in SQL), use the missing object. See the Missing Values section for more details. In some languages, the0 码力 | 2057 页 | 7.44 MB | 3 月前3
julia 1.12.0 beta1missing object, which is the singleton instance of the type Missing. missing is equivalent to NULL in SQL and NA in R, and behaves like them in most situations. 21.1 Propagation of Missing Values missing This follows the well-established rules of three-valued logic which are implemented by e.g. NULL in SQL and NA in R. This abstract definition corresponds to a relatively natural behavior which is best explained Nothing} arguments or fields. To represent missing data in the statistical sense (NA in R or NULL in SQL), use the missing object. See the Missing Values section for more details. In some languages, the0 码力 | 2047 页 | 7.41 MB | 3 月前3
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