ISBN 10: 1499321732 / ISBN 13: 9781499321739
Used / Quantity Available: 0
Available From More Booksellers
View all  copies of this book

About the Book

We're sorry; this specific copy is no longer available. AbeBooks has millions of books. We've listed similar copies below.

Description:

This Book is in Good Condition. Clean Copy With Light Amount of Wear. 100% Guaranteed. Bookseller Inventory #

About this title:

Book ratings provided by Goodreads:
5 avg rating
(1 ratings)

Synopsis: Live the American dream! Earn from $100,000 to $200,000 as a database expert. Learn Microsoft Database Design & SQL Server 2014 Programming! SQL Server 2014 follows just in 2 years after SQL Server 2012 with very exciting new features. One on the top: in-memory OLTP tables for superior performance. With abundant computer memory, why keep tables on slow disk? Developers across the world face database issues daily. While immersed in procedural languages with loops, RDBMS forces them to think in terms of sets without loops. It takes transition. It takes training. It takes experience. Developers are exposed also to Excel worksheets, or spreadsheets, as they were called in the not so distant past. So, if you know worksheets, how hard can databases be? After all, worksheets look pretty much like database tables, don’t they? The big difference is the connections among well-designed tables. A database is a set of connected tables, which represent entities in the real world. A database can be 100 connected tables or 3000. The connection is very simple: row A in table Alpha has affiliated data with row B in table Beta. However, even with 200 tables and 300 connections (FOREIGN KEY references), it takes a good amount of time to become familiar to the point of having an acceptable working knowledge. "The Cemetery of Computer Languages" is expanding. You can see tombstones like PL/1, Forth, Ada, Pascal, LISP, RPG, APL, SNOBOL, JOVIAL, Algol – the list goes on. For some, the future is in question: PowerBuilder, ColdFusion, FORTRAN and COBOL. On the other hand, SQL is running strong after 3 decades of glorious existence. What is the difference? The basic difference is that SQL can handle large datasets in a consistent manner based on mathematical foundations. You can throw together a computer language easily: assignment statements, looping, if-then conditional, 300 library functions, and voila! Here is the new language: Mars/1, named after the red planet to be fashionable with NASA's new Mars robot. However, can Mars/1 JOIN a table of 1 million rows with a table of 10 million rows in a second? The success of SQL language is so compelling that other technologies are tagged onto it like XML/XQuery, which deals with semi-structured information objects. In SQL you are thinking at a high level. In C# or Java, you are dealing with details – lots of them. That is the major difference. Why is so much of the book dedicated to database design? Why not plunge into SQL coding and eventually the developer will get a hang of the design? Because high-level thinking requires thinking at the database design level. A farmer has six mules. H how do we model it in the database? We design the Farmer and FarmAnimal tables, and then connect them with FarmerID FOREIGN KEY in FarmAnimal referencing the FarmerID PRIMARY KEY in the Farmer table. What is the big deal about it? It looks so simple. In fact, how about just calling the tables Table1 and Table2 to be more generic. Ouch! Meaningful naming is the very basis of good database design. Relational database design is truly simple for simple well-understood models. The challenge starts in modeling complex objects such as financial derivative instruments, airplane passenger scheduling, or a social network website. When you need to add 5 new tables to a 1000 table database and hook them in (define FOREIGN KEY references) correctly, it is a huge challenge. To begin with, some of the five new tables may already be redundant, but you don't know that until you understand what the 1000 tables are really storing. Frequently, learning the application area is the biggest challenge for a developer when starting a new job. The SQL language is simple to program and read even when touching 10 tables. Complexities abound though. The very first one: does the SQL statement touch the right data set – 999 records and 1000 or 998?

About the Author: KALMAN TOTH, M.A. PHYSICS COLUMBIA UNIVERSITY & M.PHIL. IN COMPUTING SCIENCE COLUMBIA UNIVERSITY, IS AN SQL DATABASE DESIGN AND BUSINESS INTELLIGENCE SPECIALIST. HIS PROFESSIONAL RESEARCH INTEREST IS ARTIFICIAL INTELLIGENCE. HE IS CONVINCED THAT MACHINE INTELLIGENCE WILL NOT ONLY REPLACE HUMAN INTELLIGENCE BUT SURPASS IT MILLION TIMES IN THE NEAR FUTURE. HIS HOBBY IS FLYING GLIDERS, VINTAGE FIGHTER & BOMBER PLANES. CONTACT: kalmantoth@gmail.com .

"About this title" may belong to another edition of this title.

Bibliographic Details

Book Condition: Used

Top Search Results from the AbeBooks Marketplace

1.

Toth, Kalman
ISBN 10: 1499321732 ISBN 13: 9781499321739
New Quantity Available: > 20
Print on Demand
Seller
Books2Anywhere
(Fairford, GLOS, United Kingdom)
Rating
[?]

Book Description 2014. PAP. Book Condition: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # IQ-9781499321739

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 23.35
Convert Currency

Add to Basket

Shipping: US$ 11.60
From United Kingdom to U.S.A.
Destination, Rates & Speeds

2.

Toth, Kalman
ISBN 10: 1499321732 ISBN 13: 9781499321739
Used Quantity Available: 1
Seller
GreatBookPrices
(Columbia, MD, U.S.A.)
Rating
[?]

Book Description Book Condition: good. Used products do not contain supplements and some products may include highlighting and writing. Bookseller Inventory # 21474060-5

More Information About This Seller | Ask Bookseller a Question

Buy Used
US$ 28.92
Convert Currency

Add to Basket

Shipping: US$ 2.64
Within U.S.A.
Destination, Rates & Speeds

3.

Toth, Kalman
ISBN 10: 1499321732 ISBN 13: 9781499321739
New Quantity Available: > 20
Print on Demand
Seller
Pbshop
(Wood Dale, IL, U.S.A.)
Rating
[?]

Book Description 2014. PAP. Book Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # IQ-9781499321739

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 27.58
Convert Currency

Add to Basket

Shipping: US$ 3.99
Within U.S.A.
Destination, Rates & Speeds

4.

ISBN 10: 1499321732 ISBN 13: 9781499321739
New Quantity Available: > 20
Print on Demand
Seller
BWB
(Valley Stream, NY, U.S.A.)
Rating
[?]

Book Description Book Condition: New. This item is Print on Demand - Depending on your location, this item may ship from the US or UK. Bookseller Inventory # POD_9781499321739

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 34.54
Convert Currency

Add to Basket

Shipping: FREE
Within U.S.A.
Destination, Rates & Speeds

5.

Toth, Kalman
Published by CreateSpace Independent Publishing Platform (2014)
ISBN 10: 1499321732 ISBN 13: 9781499321739
New Paperback Quantity Available: 10
Seller
Ergodebooks
(RICHMOND, TX, U.S.A.)
Rating
[?]

Book Description CreateSpace Independent Publishing Platform, 2014. Paperback. Book Condition: New. Bookseller Inventory # INGM9781499321739

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 31.35
Convert Currency

Add to Basket

Shipping: US$ 3.99
Within U.S.A.
Destination, Rates & Speeds

6.

Kalman Toth
Published by Createspace Independent Publishing Platform, United States (2014)
ISBN 10: 1499321732 ISBN 13: 9781499321739
New Paperback Quantity Available: 10
Print on Demand
Seller
The Book Depository US
(London, United Kingdom)
Rating
[?]

Book Description Createspace Independent Publishing Platform, United States, 2014. Paperback. Book Condition: New. Language: English . Brand New Book ***** Print on Demand *****. Live the American dream! Earn from $100,000 to $200,000 as a database expert. Learn Microsoft Database Design SQL Server 2014 Programming! SQL Server 2014 follows just in 2 years after SQL Server 2012 with very exciting new features. One on the top: in-memory OLTP tables for superior performance. With abundant computer memory, why keep tables on slow disk? Developers across the world face database issues daily. While immersed in procedural languages with loops, RDBMS forces them to think in terms of sets without loops. It takes transition. It takes training. It takes experience. Developers are exposed also to Excel worksheets, or spreadsheets, as they were called in the not so distant past. So, if you know worksheets, how hard can databases be? After all, worksheets look pretty much like database tables, don t they? The big difference is the connections among well-designed tables. A database is a set of connected tables, which represent entities in the real world. A database can be 100 connected tables or 3000. The connection is very simple: row A in table Alpha has affiliated data with row B in table Beta. However, even with 200 tables and 300 connections (FOREIGN KEY references), it takes a good amount of time to become familiar to the point of having an acceptable working knowledge. The Cemetery of Computer Languages is expanding. You can see tombstones like PL/1, Forth, Ada, Pascal, LISP, RPG, APL, SNOBOL, JOVIAL, Algol - the list goes on. For some, the future is in question: PowerBuilder, ColdFusion, FORTRAN and COBOL. On the other hand, SQL is running strong after 3 decades of glorious existence. What is the difference? The basic difference is that SQL can handle large datasets in a consistent manner based on mathematical foundations. You can throw together a computer language easily: assignment statements, looping, if-then conditional, 300 library functions, and voila! Here is the new language: Mars/1, named after the red planet to be fashionable with NASA s new Mars robot. However, can Mars/1 JOIN a table of 1 million rows with a table of 10 million rows in a second? The success of SQL language is so compelling that other technologies are tagged onto it like XML/XQuery, which deals with semi-structured information objects. In SQL you are thinking at a high level. In C# or Java, you are dealing with details - lots of them. That is the major difference. Why is so much of the book dedicated to database design? Why not plunge into SQL coding and eventually the developer will get a hang of the design? Because high-level thinking requires thinking at the database design level. A farmer has six mules. H how do we model it in the database? We design the Farmer and FarmAnimal tables, and then connect them with FarmerID FOREIGN KEY in FarmAnimal referencing the FarmerID PRIMARY KEY in the Farmer table. What is the big deal about it? It looks so simple. In fact, how about just calling the tables Table1 and Table2 to be more generic. Ouch! Meaningful naming is the very basis of good database design. Relational database design is truly simple for simple well-understood models. The challenge starts in modeling complex objects such as financial derivative instruments, airplane passenger scheduling, or a social network website. When you need to add 5 new tables to a 1000 table database and hook them in (define FOREIGN KEY references) correctly, it is a huge challenge. To begin with, some of the five new tables may already be redundant, but you don t know that until you understand what the 1000 tables are really storing. Frequently, learning the application area is the biggest challenge for a developer when starting a new job. The SQL language is simple to program and read even when touching 10 tables. Complexities abound though. The very first one: does the SQL statement touch the right data set - 999 records and 1000 or 998?. Bookseller Inventory # APC9781499321739

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 38.82
Convert Currency

Add to Basket

Shipping: FREE
From United Kingdom to U.S.A.
Destination, Rates & Speeds

7.

Kalman Toth
Published by Createspace Independent Publishing Platform, United States (2014)
ISBN 10: 1499321732 ISBN 13: 9781499321739
New Paperback Quantity Available: 10
Print on Demand
Seller
The Book Depository
(London, United Kingdom)
Rating
[?]

Book Description Createspace Independent Publishing Platform, United States, 2014. Paperback. Book Condition: New. Language: English . Brand New Book ***** Print on Demand *****.Live the American dream! Earn from $100,000 to $200,000 as a database expert. Learn Microsoft Database Design SQL Server 2014 Programming! SQL Server 2014 follows just in 2 years after SQL Server 2012 with very exciting new features. One on the top: in-memory OLTP tables for superior performance. With abundant computer memory, why keep tables on slow disk? Developers across the world face database issues daily. While immersed in procedural languages with loops, RDBMS forces them to think in terms of sets without loops. It takes transition. It takes training. It takes experience. Developers are exposed also to Excel worksheets, or spreadsheets, as they were called in the not so distant past. So, if you know worksheets, how hard can databases be? After all, worksheets look pretty much like database tables, don t they? The big difference is the connections among well-designed tables. A database is a set of connected tables, which represent entities in the real world. A database can be 100 connected tables or 3000. The connection is very simple: row A in table Alpha has affiliated data with row B in table Beta. However, even with 200 tables and 300 connections (FOREIGN KEY references), it takes a good amount of time to become familiar to the point of having an acceptable working knowledge. The Cemetery of Computer Languages is expanding. You can see tombstones like PL/1, Forth, Ada, Pascal, LISP, RPG, APL, SNOBOL, JOVIAL, Algol - the list goes on. For some, the future is in question: PowerBuilder, ColdFusion, FORTRAN and COBOL. On the other hand, SQL is running strong after 3 decades of glorious existence. What is the difference? The basic difference is that SQL can handle large datasets in a consistent manner based on mathematical foundations. You can throw together a computer language easily: assignment statements, looping, if-then conditional, 300 library functions, and voila! Here is the new language: Mars/1, named after the red planet to be fashionable with NASA s new Mars robot. However, can Mars/1 JOIN a table of 1 million rows with a table of 10 million rows in a second? The success of SQL language is so compelling that other technologies are tagged onto it like XML/XQuery, which deals with semi-structured information objects. In SQL you are thinking at a high level. In C# or Java, you are dealing with details - lots of them. That is the major difference. Why is so much of the book dedicated to database design? Why not plunge into SQL coding and eventually the developer will get a hang of the design? Because high-level thinking requires thinking at the database design level. A farmer has six mules. H how do we model it in the database? We design the Farmer and FarmAnimal tables, and then connect them with FarmerID FOREIGN KEY in FarmAnimal referencing the FarmerID PRIMARY KEY in the Farmer table. What is the big deal about it? It looks so simple. In fact, how about just calling the tables Table1 and Table2 to be more generic. Ouch! Meaningful naming is the very basis of good database design. Relational database design is truly simple for simple well-understood models. The challenge starts in modeling complex objects such as financial derivative instruments, airplane passenger scheduling, or a social network website. When you need to add 5 new tables to a 1000 table database and hook them in (define FOREIGN KEY references) correctly, it is a huge challenge. To begin with, some of the five new tables may already be redundant, but you don t know that until you understand what the 1000 tables are really storing. Frequently, learning the application area is the biggest challenge for a developer when starting a new job. The SQL language is simple to program and read even when touching 10 tables. Complexities abound though. The very first one: does the SQL statement touch the right data set - 999 records and 1000 or 998?. Bookseller Inventory # APC9781499321739

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 39.98
Convert Currency

Add to Basket

Shipping: FREE
From United Kingdom to U.S.A.
Destination, Rates & Speeds

8.

Kalman Toth
ISBN 10: 1499321732 ISBN 13: 9781499321739
New Paperback Quantity Available: 20
Seller
BuySomeBooks
(Las Vegas, NV, U.S.A.)
Rating
[?]

Book Description Paperback. Book Condition: New. Paperback. 608 pages. Developers across the world face database issues daily. While immersed in procedural languages with loops, RDBMS forces them to think in terms of sets without loops. It takes transition. It takes training. It takes experience. Developers are exposed also to Excel worksheets, or spreadsheets, as they were called in the not so distant past. So, if you know worksheets, how hard can databases be After all, worksheets look pretty much like database tables, dont they The big difference is the connections among well-designed tables. A database is a set of connected tables, which represent entities in the real world. A database can be 100 connected tables or 3000. The connection is very simple: row A in table Alpha has affiliated data with row B in table Beta. However, even with 200 tables and 300 connections (FOREIGN KEY references), it takes a good amount of time to become familiar to the point of having an acceptable working knowledge. The Cemetery of Computer Languages is expanding. You can see tombstones like PL1, Forth, Ada, Pascal, LISP, RPG, APL, SNOBOL, JOVIAL, Algol the list goes on. For some, the future is in question: PowerBuilder, ColdFusion, FORTRAN and COBOL. On the other hand, SQL is running strong after 3 decades of glorious existence. What is the difference The basic difference is that SQL can handle large datasets in a consistent manner based on mathematical foundations. You can throw together a computer language easily: assignment statements, looping, if-then conditional, 300 library functions, and voila! Here is the new language: Mars1, named after the red planet to be fashionable with NASAs new Mars robot. However, can Mars1 JOIN a table of 1 million rows with a table of 10 million rows in a second The success of SQL language is so compelling that other technologies are tagged onto it like XMLXQuery, which deals with semi-structured information objects. In SQL you are thinking at a high level. In C or Java, you are dealing with details lots of them. That is the major difference. Why is so much of the book dedicated to database design Why not plunge into SQL coding and eventually the developer will get a hang of the design Because high-level thinking requires thinking at the database design level. A farmer has six mules. H how do we model it in the database We design the Farmer and FarmAnimal tables, and then connect them with FarmerID FOREIGN KEY in FarmAnimal referencing the FarmerID PRIMARY KEY in the Farmer table. What is the big deal about it It looks so simple. In fact, how about just calling the tables Table1 and Table2 to be more generic. Ouch! Meaningful naming is the very basis of good database design. Relational database design is truly simple for simple well-understood models. The challenge starts in modeling complex objects such as financial derivative instruments, airplane passenger scheduling, or a social network website. When you need to add 5 new tables to a 1000 table database and hook them in (define FOREIGN KEY references) correctly, it is a huge challenge. To begin with, some of the five new tables may already be redundant, but you dont know that until you understand what the 1000 tables are really storing. Frequently, learning the application area is the biggest challenge for a developer when starting a new job. The SQL language is simple to program and read even when touching 10 tables. Complexities abound though. The very first one: does the SQL statement touch the right data set 999 records and 1000 or 998 T-SQL statements are turned into Transact-SQL scripts, stored procedures, and user-defined functions, and trigger server-side database objects. They can be short 5 statement programs or long 1000 statement programs. The style of Transact-SQL programming is different from the style in procedural programming languages. There are no arrays, only tables or table variab This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9781499321739

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 37.96
Convert Currency

Add to Basket

Shipping: US$ 3.95
Within U.S.A.
Destination, Rates & Speeds

9.

Toth, Kalman
Published by CreateSpace Independent Publishing Platform
ISBN 10: 1499321732 ISBN 13: 9781499321739
New PAPERBACK Quantity Available: > 20
Seller
Russell Books
(Victoria, BC, Canada)
Rating
[?]

Book Description CreateSpace Independent Publishing Platform. PAPERBACK. Book Condition: New. 1499321732 Special order direct from the distributor. Bookseller Inventory # ING9781499321739

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 33.69
Convert Currency

Add to Basket

Shipping: US$ 7.00
From Canada to U.S.A.
Destination, Rates & Speeds

10.

ISBN 10: 1499321732 ISBN 13: 9781499321739
Used Quantity Available: 1
Seller
BookSleuth
(Sanford, NC, U.S.A.)
Rating
[?]

Book Description Book Condition: Good. Beginner Database Design & SQL Programming Using Microsoft SQL Server 2014. Bookseller Inventory # Amz4781066

More Information About This Seller | Ask Bookseller a Question

Buy Used
US$ 40.76
Convert Currency

Add to Basket

Shipping: US$ 3.99
Within U.S.A.
Destination, Rates & Speeds

There are 3 more copies of this book

View all search results for this book