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Data Mining: Part 16 Automating Data Mining Processes

In this chapter we will learn how to automate Data Mining Tasks using the SQL Agent.  Read more...
By Daniel Calbimonte 2014/09/08 | Source: SQLServerCentral.com | Category: microsoft
Rating: |  Discuss |   Briefcase | 2,216 reads

Data Mining: Part 15 Processing Data Mining components with SSIS

In this lesson, we will show different components to Administer the Data Mining Models with SSIS.  Read more...
By Daniel Calbimonte 2014/08/28 | Source: SQLServerCentral.com | Category: data
Rating: |  Discuss |   Briefcase | 2,031 reads

Data Mining: Part 12 DMX for Data Mining

In this lesson we will learn the basics of DMX and create some samples.  Read more...
By Daniel Calbimonte 2014/07/21 | Source: SQLServerCentral.com | Category: data
Rating: |  Discuss |   Briefcase | 1,922 reads

Data Mining Introduction Part 10: Microsoft Logistic Regression

This is an introduction to the SQL Server Microsoft Logistic Regression Data Mining Algorithm.  Read more...
By Daniel Calbimonte 2014/06/24 | Source: SQLServerCentral.com | Category: data
Rating: |  Discuss |   Briefcase | 2,953 reads

Data Mining Introduction

Many people that work for years with SQL Server never use the Data Mining. This article has the objective to introduce them to this magic and exciting new world.  Read more...
By Daniel Calbimonte 2014/05/26 (first published: 2012/11/12) | Source: SQLServerCentral.com | Category: server
Rating: |  Discuss |   Briefcase | 39,672 reads

Generate MERGE statements with Table data

A stored procedure that produces a MERGE statement for a given table containing a VALUES clause for all rows, useful for migrating static data between environments.  Read more...
By Daniel Nolan 2014/01/07 | Source: SQLServerCentral.com | Category: generate
Rating: |  Discuss |   Briefcase | 4,427 reads

SQL Saturday #246 Salt Lake City

SQL Saturday visits Salt Lake City on September 7 for a free day of SQL Server training and networking. SQL Saturday has partnered with with the Utah Hadoop User Group and Utah Geeks Events to create the Big Mountain Data Conference.  Read more...
By Press Release 2013/08/22 | Source: SQLServerCentral.com | Category: sql saturday
Rating: |  Discuss |   Briefcase | 287 reads

Data Mining Introduction Part 6: Time series algorithm

This article is part of the Data Mining introduction series. This article is about time series.   Read more...
By Daniel Calbimonte 2013/08/06 | Source: SQLServerCentral.com | Category: data
Rating: |  Discuss |   Briefcase | 6,267 reads

Data Darwinism

Data could be the way that more decisions are made, separating the competent from the incompetent in the future. Steve Jones isn't sure this is the best way to make decisions if we don't include a human element in the decision process.  Read more...
By Steve Jones 2013/04/03 | Source: SQLServerCentral.com | Category: editorial
Rating: (not yet rated) |  Discuss |   Briefcase | 105 reads

Data Mining Introduction

Many people that work for years with SQL Server never use the Data Mining. This article has the objective to introduce them to this magic and exciting new world.  Read more...
By Daniel Calbimonte 2014/05/26 (first published: 2012/11/12) | Source: SQLServerCentral.com | Category: server
Rating: |  Discuss |   Briefcase | 39,672 reads

Search for String in all columns

Find all columns containing a string value across all tables and schemas.  Read more...
By Wes Henriksen 2012/11/07 | Source: SQLServerCentral.com | Category: search
Rating: |  Discuss |   Briefcase | 1,624 reads

Generate MERGE statements with Table data

A stored procedure that produces a MERGE statement for a given table containing a VALUES clause for all rows, useful for migrating static data between environments.  Read more...
By Daniel Nolan 2014/01/07 | Source: SQLServerCentral.com | Category: generate
Rating: |  Discuss |   Briefcase | 4,427 reads

Generating Data for Database Tests

It is more and more essential for developers to work on development databases that have realistic data in both type and quantity, but without using real data. It isn't exactly easy, even with third-party tools to hand. Phil Factor shows how it can be done, taking the classic PUBS database and giving it a more realistic set of data.  Read more...
By Additional Articles 2012/04/11 | Source: SimpleTalk | Category: data
Rating: (not yet rated)  Rate this |   Briefcase | 3,587 reads

Generate MERGE statements with Table data

A stored procedure that produces a MERGE statement for a given table containing a VALUES clause for all rows, useful for migrating static data between environments.  Read more...
By Daniel Nolan 2014/01/07 | Source: SQLServerCentral.com | Category: generate
Rating: |  Discuss |   Briefcase | 4,427 reads

Stairway to Data, Level 8: Data Encoding Schemes - Part II

Joe discusses Hierarchical, Vector and Concatenation encoding before rounding up with general guidelines for designing encoding schemes.  Read more...
By Joe Celko 2011/08/31 | Source: SQLServerCentral.com | Category: stairway series
Rating: |  Discuss |   Briefcase | 3,753 reads

Stairway to Data, Level 7: Data Encoding Schemes - Part I

Joe discusses how to deal with the kinds of encoding schemes, how to use them and how to design them. He discusses Enumeration, Measurement, Abbreviation and Algorithmic categories   Read more...
By Joe Celko 2011/08/10 | Source: SQLServerCentral.com | Category: stairway series
Rating: |  Discuss |   Briefcase | 5,085 reads

Stairway to Data, Level 6: Types of Scales - Part II

Joe Celko introduces more powerful scales such as Interval, Log interval and ratio scales; before moving on to conversions, punctuation and units. Finally he gives guidelines as to how best to use scales in a database.  Read more...
By Joe Celko 2011/07/27 | Source: SQLServerCentral.com | Category: stairway series
Rating: |  Discuss |   Briefcase | 3,892 reads

Stairway to Data, Level 5: Types of Scales – Part I

Joe Celko discusses Nominal, Categorical, Absolute, Ordinal and Rank scales. These are the weakest scales we can use, starting with the weakest.  Read more...
By Joe Celko 2011/07/06 | Source: SQLServerCentral.com | Category: stairway series
Rating: |  Discuss |   Briefcase | 5,497 reads

Stairway to Data, Level 4: Temporal Data

Joe Celko tackles the most difficult of all the types of data handled by SQL, temporal data, and explains how to avoid the commonest traps for the unwary programmer  Read more...
By Joe Celko 2011/06/15 | Source: SQLServerCentral.com | Category: stairway series
Rating: |  Discuss |   Briefcase | 7,988 reads

Stairway to Data, Level 3: Strings

Character-handling in SQL is not particularly straightforward, and confusion about collation and character encoding is a common cause of problems with searching, joining, and sorting.  Read more...
By Joe Celko 2011/06/01 | Source: SQLServerCentral.com | Category: stairway series
Rating: |  Discuss |   Briefcase | 7,803 reads
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