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SQL Server, Oracle, MySQL, DB2, and. Tutorials: Learn SQL in stages. Some simple queries to get you started. Some pattern matching queries. 2 SELECT from World. In which we query the World country profile table. 3 SELECT from Nobel. Additional practice of the basic features using a table of Nobel Prize winners. 4 SELECT within SELECT. In which we form queries using other queries. 5 SUM and COUNT. In which we apply aggregate functions. more the same. 7 More JOIN operations. 2 CREATE and DROP. Assessments:...

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SQL Server, Oracle, MySQL, DB2, and. Tutorials: Learn SQL in stages. Some simple queries to get you started. Some pattern matching queries. 2 SELECT from World. In which we query the World country profile table. 3 SELECT from Nobel. Additional practice of the basic features using a table of Nobel Prize winners. 4 SELECT within SELECT. In which we form queries using other queries. 5 SUM and COUNT. In which we apply aggregate functions. more the same. 7 More JOIN operations. 2 CREATE and DROP. Assessments:...
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1 sql tutorial
2 from sqlzoo
3 jump to navigation
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5 postgresql
6 0 select basics
7 1 select name
8 6 join
9 8 using null
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sql tutorial,from sqlzoo,jump to navigation,learn sql using,postgresql,0 select basics,1 select name,6 join,8 using null,8 numeric examples,9 self join,10 tutorial quizzes,reference how to,1 select,5 functions,6 users,7 meta data,8 sql hacks,musicians
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SQLZOO | sqlzoo.net Reviews

https://sqlzoo.net

SQL Server, Oracle, MySQL, DB2, and. Tutorials: Learn SQL in stages. Some simple queries to get you started. Some pattern matching queries. 2 SELECT from World. In which we query the World country profile table. 3 SELECT from Nobel. Additional practice of the basic features using a table of Nobel Prize winners. 4 SELECT within SELECT. In which we form queries using other queries. 5 SUM and COUNT. In which we apply aggregate functions. more the same. 7 More JOIN operations. 2 CREATE and DROP. Assessments:...

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NoSQLzoo

What is the capital of France? Learn NoSQL using: MongoDB. Tutorials: Learn NoSQL in stages. In which we query the world collection and make use of aggregate functions. AGGREGATE Movies Tutorial. MapReduce questions using the Elite Dangerous dataset. NOSQLZOO: 'elite' dataset schema. Karl Seguin's The Little MongoDB Book. Retrieved from ‘ http:/ no.sqlzoo.net/mw/index.php? This page was last modified on 13 November 2016, at 23:03. Content is available under GNU Free Documentation Licence 1.3 or later.

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1

SELECT from WORLD Tutorial - SQLZOO

http://www.sqlzoo.net/wiki/SELECT_from_WORLD_Tutorial

SELECT from WORLD Tutorial. 160;• 中文. In this tutorial you will use the SELECT command on the table. Read the notes about this table. Observe the result of running a simple SQL command. NoSQL version of SELECT name, continent, population. How to use WHERE to filter records. Show the name for the countries that have a population of at least 200 million. 200 million is 200000000, there are eight zeros. NoSQL version of SELECT with WHERE. And the per capita GDP. For those countries with a. South America'&#...

2

Tutorial Quizzes - SQLZOO

http://www.sqlzoo.net/wiki/Tutorial_Quizzes

There are multiple choice quizzes associated with each of the tutorials. Use these to test your understanding of the material you have been studying. 4 Nested SELECT Quiz. 5 SUM and COUNT Quiz. 7 JOIN Quiz 2. 8 Using Null Quiz. 9 Self join Quiz. Retrieved from " http:/ www.sqlzoo.net/w/index.php? SELECT . WHERE. SELECT . GROUP BY. SELECT . JOIN. SELECT . SELECT. INSERT . VALUES. INSERT . SELECT. This page was last modified on 15 August 2012, at 11:25. This page has been accessed 102,666 times.

3

The JOIN operation - SQLZOO

http://www.sqlzoo.net/wiki/The_JOIN_operation

National Stadium, Warsaw. National Stadium, Warsaw. JOIN and UEFA EURO 2012. Which allows you to use data from two or more tables. The tables contain all matches and goals from UEFA EURO 2012 Football Championship in Poland and Ukraine. The first example shows the goal scored by a player with the last name 'Bender'. The. Says to list all the columns in the table - a shorter way of saying. Matchid, teamid, player, gtime. Modify it to show the matchid. Notice in the that the column. Table corresponds to the.

4

The nobel table can be used to practice more SUM and COUNT functions. - SQLZOO

http://www.sqlzoo.net/wiki/The_nobel_table_can_be_used_to_practice_more_SUM_and_COUNT_functions.

The nobel table can be used to practice more SUM and COUNT functions. Nobel Prizes: Aggregate functions. This tutorial concerns aggregate functions such as. Using SUM, COUNT, MAX, AVG, DISTINCT and ORDER BY. Show the total number of prizes awarded. List each subject - just once. Show the total number of prizes awarded for Physics. Nobel( yr, subject, winner. Using GROUP BY and HAVING. For each subject show the subject and the number of prizes. Nobel( yr,subject, winner. Nobel( yr, subject, winner. This p...

5

SQLZOO

http://www.sqlzoo.net/wiki/Main_Page

Redirected from Main Page. 160;• 中文. SQL Server, Oracle, MySQL, DB2, and. Tutorials: Learn SQL in stages. Some simple queries to get you started. Some pattern matching queries. 2 SELECT from World. In which we query the World country profile table. 3 SELECT from Nobel. Additional practice of the basic features using a table of Nobel Prize winners. 4 SELECT within SELECT. In which we form queries using other queries. 5 SUM and COUNT. In which we apply aggregate functions. more the same. 2 CREATE and DROP.

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artfulsoftware.com artfulsoftware.com

Database Resources on the Web

http://www.artfulsoftware.com/dbresources.html

Database Tutorials on the Web. Database design and Normalisation. From Artful Software Development. Ten steps to design a database. From Artful Software Development. Gentle introduction to SQL. Very clear SQL step-by-step. Database design summary from Wikipedia. SQL statement syntax in MySQL. By Oscar Zaiane at SFU. SQL Articles at ONLamp. Database basics in 5 parts by Joe Burns. For the mathematically minded. Introduction to relational databases by Tore Bastrup. For the mathematically minded.

geekroom.tibetangeeks.com geekroom.tibetangeeks.com

Start here for SQL .:. Geek Room

https://geekroom.tibetangeeks.com/resources/res4begin-sql

Start here for SQL – Geek Room. A tech stop for locals in mcleod ganj. ཟབ ས ང ཁང. Using the geek room. Learn to code online. Blocked in china and tibet. How to keep up. Start here for SQL updated 6 Jul 2016. Here are some good places to start when you are learning how to write SQL to access databases. 8220;SQL” is the letters for “Structured Query Language”, so it is pronounced “Ess-Que-Ell” — not “See-Quell”. Learn SQL syntax. Nice! Nice interactive tutorials. KhanAcademy.com. It is about doing. All: We...

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Excellent advice on data journalism for those of us who don’t code | Hedy Korbee

https://hedykorbee.wordpress.com/2011/03/17/excellent-advice-on-data-journalism-for-those-of-us-who-dont-code

Adventures in online journalism. Community news sites: “make the obscure findable”. A Thread to the Past in Birch Cliff →. Excellent advice on data journalism for those of us who don’t code. March 17, 2011. I decided to try the direct approach by emailing Michelle Minkoff. After reading her tweets and posts on the NICAR. Discussion forum because she seemed approachable and I could relate to her approach to data-driven storytelling at PBS:. Showing people what to look at. It’s very inspiring and has...

csszoo.net csszoo.net

XMLzoo: A Gentle Introduction to xml

http://www.csszoo.net/dtd2

A Gentle Introduction to xml. XMLzoo: A Gentle Introduction to xml. Planet Node: ATTLIST with CDATA and ID. We revisit the planet XML applications. This time we take a data oriented approach, most of the details are stored in attributes rather than as text. ATTLIST values ID and IDREF. We use ID attributes and reference them with IDREF attributes. ATTLIST #REQUIRED, #IMPLIED, defaults and enumerated types. We may define a % entity - this allows us to define fragments and reused them in our DTD.

briandupreez.net briandupreez.net

Zen in the art of IT: December 2013

http://www.briandupreez.net/2013_12_01_archive.html

Zen in the art of IT. Sunday, December 15, 2013. Predicting the next most probable part of speech. I have recently been spending some of my spare time learning and about AI and machine learning , after a couple books, a bunch of tutorials and most of Andrew Ng's Coursera. Course. I decided enough with the theory, time for some real code. During all my late night reading I also stumbled across some of the following. The Loebner Prize. And it's most recent winner Mitsuku. So, for my first bit of functional...

briandupreez.net briandupreez.net

Zen in the art of IT: July 2014

http://www.briandupreez.net/2014_07_01_archive.html

Zen in the art of IT. Saturday, July 19, 2014. TDD, Hamcrest, Shazamcrest. Recently we have started to try get a more TDD culture started at work, having always believed in thorough testing and decent code coverage it shouldn't have been too hard. However. teaching a old dog new tricks can sometimes require quite a bit of patience. Turns out breaking coding habits formulated of more than a decade of keyboard bashing is harder than it seems. One of the tools / libraries we have included is Hamcrest. Compa...

briandupreez.net briandupreez.net

Zen in the art of IT: January 2014

http://www.briandupreez.net/2014_01_01_archive.html

Zen in the art of IT. Sunday, January 12, 2014. BYG (Bing, Yahoo, Google) Search Wrapper. One small section of my Aria project will be to interface with the current search engines out there. To do this I will require a module that will give me a consistent interface to work with the 3 main providers; Bing, Yahoo! And Google. (and any future ones I may want to add). This is a basic example or that module. First thing required is to set up accounts / projects and the like with the relevant providers. The i...

briandupreez.net briandupreez.net

Zen in the art of IT: February 2014

http://www.briandupreez.net/2014_02_01_archive.html

Zen in the art of IT. Sunday, February 16, 2014. Local Wikipedia with Solr and Spring Data. Continuing with my little AI / Machine Learning research project. I wanted to have a decent sized repo of English text, that was not in a complete mess like a large percentage of data on the internet. I figured I would try Wikipedia, but what to do with about 40Gb of XML? Required for this example:. Warning it is a 9.9Gb file, extracts to about 42Gb). Great Blog / Examples on Spring Data: Petri Kainulainen's blog.

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SQL Server, Oracle, MySQL, DB2, and. Tutorials: Learn SQL in stages. Some simple queries to get you started. Some pattern matching queries. 2 SELECT from World. In which we query the World country profile table. 3 SELECT from Nobel. Additional practice of the basic features using a table of Nobel Prize winners. 4 SELECT within SELECT. In which we form queries using other queries. 5 SUM and COUNT. In which we apply aggregate functions. more the same. 7 More JOIN operations. 2 CREATE and DROP. Assessments:...

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