Abstract. Query optimizers in object-relational database management systems require users to provide the execution cost models of user-defined functions(UDFs). Despite this need, however, there has been little work done to provide such a model. Furt
UDF的开发和测试：teradata数据库UDF开发PDF资料，不错的工具书 SQL provides a set of useful functions, but they might not satisfy all of the particular requirements you have to process your data. User-defined functions (UDFs) allow you to extend SQL by writing your own fun
Purpose of this session • Show you how to use the controls for the Dynamic Mesh (DM) model, based on a few examples • Show you how to write simple UDFs that control the dynamic zones, based on a few examples • Show you the new features in FLUENT 6.2
以前和大家分享过SIGMOD2009的论文，朋友们都很感兴趣，现手里有SIGMOD211的全部论文，再次和大家分享~ 一个包放不下，一共分成了3个包，包含百余篇论文，朋友们可以挑选自己感兴趣的部分下载，我尽量把文章目录写得明白一些。 这是第三部分 Emerging Trends in the Enterprise Data Analytics: Connecting Hadoop and DB2 Warehouse (Page 1161) Fatma Özcan (IBM Almaden Re
This "no-fluff" desk reference offers direct access to the information you need to get the job done. It covers basic T-SQL data manipulation, the use of stored procedures, triggers and UDFs, and advanced T-SQL techniques for database security and ma
This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having to create a full-fledged application - making it easy for you
Professional Excel Services (Programmer to Programmer) 1st Edition by Shahar Prish (Author) Professional Excel Services With this unique resource, youa ll discover how to unlock the power behind Excel Services in order to effectively utilize server-
Learn to use Apache Pig to develop lightweight big data applications easily and quickly. This book shows you many optimization techniques and covers every context where Pig is used in big data analytics. Beginning Apache Pig shows you how Pig is eas
Learning Apache Spark 2 by Muhammad Asif Abbasi English | 6 Jun. 2017 | ASIN: B01M7RO7US | 356 Pages | AZW3 | 16.22 MB Key Features Exclusive guide that covers how to get up and running with fast data processing using Apache Spark Explore and exploi
