Understanding DB2(R): Learning Visually with Examples (2nd Edition)

✍ Scribed by Raul F. Chong, Xiaomei Wang, Michael Dang, Dwaine R. Snow

Publisher: IBM Press
Year: 2008
Tongue: English
Leaves: 1049
Edition: 2
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Probably the best general book available for the DB2 for Linux, UNIX and Windows product. By "general" I mean a book that covers the whole breadth of the product in one volume. Not that this is a high-level overview. It goes into a great deal of detail on most aspects, with the coverage of the memory and process models being particularly impressive. I liked the "with Examples" concept of this book : it made learning new concepts much easier. At first I wasn't sure whether I'd like the "Visually" aspect, since I've always been a "command line junkie", but I was pleasantly surprised to see that there are plenty of command line examples as well as those using the GUI. DB2 moves very quickly these days and it must be an extremely difficult task for the authors to keep up. I've got both the first and second editions and I look forward to also getting the 3rd edition when it comes out : the only issue will be how big it will be (there is a very visible increase in size between 1st and 2nd editions) !!! I wouldn't want the authors to cut anything out to keep the size down however.

📜 SIMILAR VOLUMES

Understanding DB2(R): Learning Visually

📁 Understanding DB2(R): Learning Visually with Examples

✍ Raul F., Liu, Clara, Qi, Sylvia F., Snow, Dwaine R. Chong 📂 Library 📅 2005 🏛 IBM Press 🌐 English

IBM DB2 Universal DatabaseT V8.2 for LinuxR, UNIXR, and WindowsR is a flexible, scalable, cost-effective, and easy-to-use enterprise database. Now, one book makes DB2 even easier. Understanding DB2 teaches DB2 V8.2 visually, step by step, with dozens of examples and case studies drawn from the autho

Understanding DB2: Learning Visually wit

📁 Understanding DB2: Learning Visually with Examples

✍ Raul F. Chong, Xiaomei Wang, Michael Dang, Dwaine R. Snow 📂 Library 📅 2010 🏛 IBM Press 🌐 English

Architecture for the Intelligent Enterprise: Powerful New Ways to Maximize the Real-time Value of Information Tomorrow’s winning “Intelligent Enterprises” will bring together far more diverse sources of data, analyze it in more powerful ways, and deliver immediate insight to decision-makers thro

Understanding IBM SOA Foundation Suite:

📁 Understanding IBM SOA Foundation Suite: Learning Visually with Examples

✍ Tinny Ng, Jane Fung, Laura Chan, Vivian Mak 📂 Library 📅 2009 🏛 IBM Press 🌐 English

Understanding IBM SOA Foundation Suite Learning Visually with Examples Master the IBM SOA Foundation Through 26 Hands-On, Start-to-Finish Tutorials The IBM SOA Foundation Suite is an integrated, open-standards-based set of software, best practices, and patterns that help you systematically

Interactive Data Visualization with Pyth

📁 Interactive Data Visualization with Python, 2nd Edition

✍ Abha Belorkar, Sharath Chandra Guntuku, Shubhangi Hora, Anshu Kumar 📂 Library 📅 2019 🏛 Packt Publishing 🌐 English

<div> <p style="font-weight: 600">Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of Python</p> <h3>Key Features</h3> <ul><li>Study and use Python interactive libraries, such as Bokeh and Plotly</li> <li>Explore different visuali

The Deep Learning with Keras Workshop: A

📁 The Deep Learning with Keras Workshop: An Interactive Approach to Understanding Deep Learning with Keras, 2nd Edition

✍ Matthew Moocarme, Mahla Abdolahnejad, Ritesh Bhagwat 📂 Library 📅 2020 🏛 Packt Publishing 🌐 English

<p><b>Cut through the noise and get real results with a step-by-step approach to understanding deep learning with Keras programming</b></p> <h4>Key Features</h4> <ul><li>Ideal for those getting started with Keras for the first time </li> <li>A step-by-step Keras tutorial with exercises and activitie

The Deep Learning with Keras Workshop: A

📁 The Deep Learning with Keras Workshop: An Interactive Approach to Understanding Deep Learning with Keras, 2nd Edition

✍ Matthew Moocarme, Mahla Abdolahnejad, Ritesh Bhagwat 📂 Library 📅 2020 🏛 Packt Publishing 🌐 English