MacBook Pro M1芯片XM文件
XM
Content->Resource->copy/paste
MacBook Pro Intel芯片XM文件
XM
Content->Resource->copy/paste
PowerDesigner16.6_64bit.zip
PowerDesigner16.6_64bit dll文件
SQLite_Tool_and_SQLiteSpy_x86_3270200.zip
包含3个文件:
1. sqlite-tools-win32-x86-3270200.zip
2. SQLiteSpy.zip
3. sqlite-dll-win32-x86-3270200.zip
erwin+Data+Modeler+2020+R1+SP1+(64-bit)_12392.exe
erwin+Data+Modeler+2020+R1+SP1+(64-bit)_12392.exe 安装文件
主要产品Data Modeler,是业界领先的数据建模解决方案,使组织能够通过基于行业标准和最佳实践的直观式图形化工具发现、设计、可视化、标准化并部署企业数据
draw.io-12.6.5-windows-no-installer.exe
自己常用的流程图软件(draw.io、processon.com、lucidchart.com)总结了下,也分享给大家。
如果不是十分重要的流程图,建议使用 processon.com,9张图免费,多了要收费。
如果做的专业,流程图比较完整、专业、可控性较强,建议选择 draw.io,也是完全免费的。
不建议使用 lucidchart.com,主要是收费。如果学习画图软件的知识,那么文档真的非常棒。
draw.io的模板库还可以绘制更多种类的图,包括UML图,结构图等等,目前的最新版本,自己下载试试吧。
知识图谱课程 全套视频+代码+课件
非常全面的知识图谱课程,全套视频+代码+课件
从人工智能到开放知识图谱
第一讲 知识图谱概览
第二讲 知识表示和知识建模
第三讲 知识抽取与挖掘I
第四讲 知识抽取与挖掘_update
第五讲 知识存储
第六讲 知识融合
第七课 知识推理
第八讲 语义搜索
第九课:知识问答
第十课:IBM watson Lite
第十课:语义搜索+知识问答Demo
第十一课:行业知识图谱应用
Agile Estimating and Planning
中文名: 敏捷估计与规划
原名: Agile Estimating and Planning
作者: Mike Cohn
图书分类: 软件
资源格式: PDF
版本: 英文文字版
出版社: Prentice Hall
书号: 978-0131479418
发行时间: 2005年11月11日
地区: 美国
语言: 英文
简介:
内容介绍:
《敏捷估计与规划》一书为对敏捷项目进行估计与规划提供了权威实际的指导方针。在本书中,敏捷联盟的共同创始人Mike Cohn讨论了敏捷估计与规划的思想,并使用现实的例子与案例分析向您详细地展示了如何完成工作。本书清晰地阐述了有关的概念,并引导读者逐步认识到下列一些问题的答案:我们要构建什么?它的规模有多大?需要在什么时候完成?到那个时候我们到底能完成多少?您首先会认识到优秀的计划由哪些东西组成,接着会了解到如何才能使计划成为敏捷的。
《敏捷估计与规划》支持所有敏捷的、半敏捷的或迭代的开发过程,包括Scrum、极限编程、功能驱动的开发、Crystal开发、自适应软件开发、DSDM、统一过程以及许多其他开发方式。它将是每个开发经理、开发小组领导和开发小组成员不可或缺的宝贵资源。此书也获得了亚马逊网站“五星级”赞誉!
作者介绍:
Mike Cohn是专门进行过程和项目管理咨询与培训的Mountain Goat Software公司的创始人。Mike拥有超过20年的行业经验,担任过从刚起步的新公司到财富40强企业的技术负责人,还是敏捷联盟的发起成员之一。他经常在业界相关杂志上发表文章并出席有关会议,也是User Stories Applied(Addison-wesley公司2004年出版)一书的作者。
内容截图:
目录:
The Purpose of Planning
Why Planning Fails
An Agile Approach
Estimating Size with Story Points
Estimating In Ideal Days
Techniques for Estimating
Re-Estimating
Choosing Between Story Points and Ideal Days
Prioritizing Themes
Financial Prioritization
Prioritizing Desirability
Splitting User Stories
Release Planning Essentials
Iteration Planning
Selecting An Iteration Length
Estimating Velocity
Buffering Plans for Uncertainty
Planning the Multi-Team Project
Monitoring The Release Plan
Monitoring The Iteration Plan
Communicating About Plans
Why Agile Planning Works
A Case Study: Bomb Shelter Studios
MagicISO5.5 build 281 注册码
MagicISO5.5 build 281 注册码
Scrum® in Action: Agile Software Project Management and Development
Publisher: Course Technology PTR
Pub. Date: February 02, 2011
Print ISBN-10: 1-4354-5913-X
Print ISBN-13: 978-1-4354-5913-7
Web ISBN-10: 1-4354-5914-8
Web ISBN-13: 978-1-4354-5914-4
Pages in Print Edition: 320
SCRUM IN ACTION: AGILE SOFTWARE PROJECT MANAGEMENT AND DEVELOPMENT is a practical how-to guide for software project teams on how to successfully deploy an Agile software framework with Scrum. It is clearly and concisely written and is the first practical guide with real world situations written by corporate practitioners. This book describes many good project management techniques on how to get the most from project teams and bridges the gaps between many Scrum and project management books by addressing how to communicate with executives using financial terms, how to use an objective estimation technique, and where software architecture fits into Scrum.
Oracle Database 11g DBA手册(中文).pdf
Oracle Database 11g DBA手册(中文)文字版,非常好
Grid and Cloud Database Management
Grid and Cloud Database Management 2011版.pdf
Grids, Clouds and Virtualization
Grids, Clouds and Virtualization.pdf
深入对比Oracle与SQL Server
深入对比Oracle与SQL Server
非常经典的一本书
Understanding And Deploying Ldap Directory Services 2Nd Ed 2003
Understanding And Deploying Ldap Directory Services 2Nd Ed 2003.pdf
PDF Password Cracker Pro
PDF Password Cracker 密码破解很好用的工具,屡试不爽
ETL 架构师 面试试题及答案
1. 分析
a. What is a logical data mapping and what does it mean to ETL team?
b. What are the primary goals of the data discovery phase of the data warehouse project?
c. How is the system-of-record determined?
2. 结构
a. What are the four basic data flow steps of an ETL process?
b. What are the permissible data structures for the data staging area? Firefly describe the pros and cons of each
c. When should data be set to disk for safekeeping during ETL?
3. 抽取
a. Describe techniques for extracting from heterogeneous data source
b. What is the best approach for handling ERP source data?
c. Explain the pros and cons of communication with databases natively versus ODBC
d. Describe three change data capture(CDC) practices and the pros and cons of each
4. 数据质量
a. What are the four broad categories of data quality checks? Provide an implementation technique for each.
b. At which stage of the ETL should data be profiled?
c. What are the essential deliverables of the data quality portion of ETL?
d. How can data quality be quantified in the data warehouse?
5. 建立对应
a. What are surrogate keys? Explain how the surrogate key pipeline works.
b. Why do dates require special treatment during process.
c. Explain the three basic delivery steps for conformed dimensions.
d. Name the three fundamental fact grains and describe an ETL approach for each.
e. How are bridge tables delivered to classify groups of dimension records associated to a single fact?
f. How does late arriving data affect dimension facts? Share techniques for handling each
6. metadata
a. Describe the different type of ETL metadata and provide examples of each.
b. Share acceptable mechanisms for capture operational metadata.
c. Offer techniques for sharing business and technical metadata.
7. 优化
a. state the primary types of tables found in a data warehourse and the order which they mush be loaded to enforce referential integrity.
b. What are the characteristics of the four levels of the ETL support model?
c. What steps do you take for determine the bottleneck of a slow running ETL process?
Describe how to estimate the load time of a large ETL job?
Foxit Phantom 1.0 patch
把patch文件放到Foxit Phantom安装目录下,运行即可。
Ultra Sentry v4.0 SN
Ultra Sentry v4.0 SN
Ultra Compare Professional 6 SN
Ultra Compare Professional 6 (English)
Hadoop: The Definitive Guide
OReilly.Hadoop.The.Definitive.Guide.June.2009.RETAiL.eBOOk-sUppLeX
Description
Apache Hadoop is ideal for organizations with a growing need to process massive application datasets. Hadoop: The Definitive Guide is a comprehensive resource for using Hadoop to build reliable, scalable, distributed systems. Programmers will find details for analyzing large datasets with Hadoop, and administrators will learn how to set up and run Hadoop clusters. The book includes case studies that illustrate how Hadoop is used to solve specific problems.
Full Description
Hadoop: The Definitive Guide helps you harness the power of your data. Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers will find details for analyzing large datasets, and administrators will learn how to set up and run Hadoop clusters.
Complete with case studies that illustrate how Hadoop solves specific problems, this book helps you:
* Use the Hadoop Distributed File System (HDFS) for storing large datasets, and run distributed computations over those datasets using MapReduce
* Become familiar with Hadoop's data and I/O building blocks for compression, data integrity, serialization, and persistence
* Discover common pitfalls and advanced features for writing real-world MapReduce programs
* Design, build, and administer a dedicated Hadoop cluster, or run Hadoop in the cloud
* Use Pig, a high-level query language for large-scale data processing
* Take advantage of HBase, Hadoop's database for structured and semi-structured data
* Learn ZooKeeper, a toolkit of coordination primitives for building distributed systems
If you have lots of data -- whether it's gigabytes or petabytes -- Hadoop is the perfect solution. Hadoop: The Definitive Guide is the most thorough book available on the subject.
"Now you have the opportunity to learn about Hadoop from a master-not only of the technology, but also of common sense and plain talk." -- Doug Cutting, Hadoop Founder, Yahoo!