Database design

Sifiso Ndlovu

Replace bridge tables in a Data Warehouse with SQL Server 2017 graph database

March 8, 2018 by

Just like in Santa’s Bag of Goodies, every release of SQL Server often has something for everyone – be it enhancements to DMVs for the DBAs, new functions for T-SQL developers or new SSIS control tasks for ETL developers. Likewise, the ability to effectively support many-to-many relationships type in SQL Graph has ensured that there is indeed something in it for the data warehouse developers in SQL Server 2017. In this article, we take you through the challenges of modelling many-to-many relationships in relational data warehouse environments and later demonstrate how data warehouse teams can take advantage of the many-to-many relationship feature in SQL Server 2017 Graph Database to effectively model and support their data warehouse solutions.

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Ed Pollack

How to quickly generate a large number of dimension tables for reporting applications

January 19, 2018 by

Description

When building reporting structures, we typically have the need to build fact and dimension tables to support the apps that will consume this data. Sometimes we need to generate large numbers of dimension tables to support application needs, such as in Tableau, Entity Framework, or Power BI.

Creating this schema by hand is time-consuming and error-prone. Automating it can be a way to improve predictability, maintainability, and save a ton of time in the process!

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Prashanth Jayaram

Top 8 new (or enhanced) SQL Server 2017 DMVs and DMFs for DBAs

January 17, 2018 by

Dynamic management views (DMVs) and dynamic management functions (DMFs) are system views and system functions that return metadata of the system state. On querying the related system objects, database administrators can understand the internals of SQL Server. It allows us to monitor the performance of the SQL Server instance, and diagnose issues with it.

SQL Server 2017 ships with a number of new and enhanced dynamic management views and dynamic management functions that will help DBAs monitor the health and performance of SQL Server instances. A few existing DMV’s such as sys.dm_os_sys_info and sys.dm_db_file_space_usage have been enhanced. Some have also been newly built and available only for SQL Server 2017.

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Sifiso Ndlovu

How to plot a SQL Server 2017 graph database using SQL Server R

January 3, 2018 by

A few years ago, one common business case I came across in my professional career that required modelling of data into a many-to-many entity relationship type was the representation of a consultants and their projects. Such a business case became a many-to-many entity relationship type because whilst each project can be undertaken by several consultants, consultants can in turn be involved in many different projects. When it came to storing such data in a relational database engine, it meant that we had to make use of bridging tables and also make use of several self-joins to successfully query the data.

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Sifiso Ndlovu

How to enable and disable the Identity Cache in SQL Server 2017

December 20, 2017 by

Every data warehouse developer is likely to appreciate the significance of having surrogate keys as part of derived fields in your facts and dimension tables. Surrogate keys make it easy to define constraints, create and maintain indexes, as well as define relationships between tables. This is where the Identity property in SQL Server becomes very useful because it allows us to automatically generate and increment our surrogate key values in data warehouse tables. Unfortunately, the generating and incrementing of surrogate keys in versions of SQL Server prior to SQL Server 2017 was at times challenging and inconsistent by causing huge gaps between identity values. In this article, we take a look at one improvement made in SQL Server 2017 to reduce the creation of gaps between identity values.

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Esat Erkec

How to implement a graph database in SQL Server 2017

December 19, 2017 by

Introduction

Graph database

A graph database is a type of database whose concept is based on nodes and edges.

Graph databases are based on graph theory (a graph is a diagram of points and lines connected to the points). Nodes represent data or entity and edges represent connections between nodes. Edges own properties that can be related to nodes. This capability allows us to show more complex and deep interactions between our data. Now, to explain this interaction we will show it in a simple diagram

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Timothy Smith

How to return data use, index compression, and row information with PowerShell

December 6, 2017 by

Background

We recently inherited a database environment where we’re facing significant data growth with limits on the sizes we can allow our databases to grow. Since we maintain multiple development, QA and production environments and these environments must be sized appropriately. We set a few standards about tables that exceed certain sizes – rows, data or both, or have certain growth patterns and our standards force compression at thresholds we set for our different environments (including using page, row, or clustered columnstore index compression) We’re looking for how we can get information about data and compression in tables and options we have so that we can quickly determine candidates that don’t currently match our best practices design we’ve set for our environments.

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Prashanth Jayaram

An introduction to a SQL Server 2017 graph database

December 4, 2017 by

The graph database is a critically important new technology for data professionals. As a database technologist always keen to know and understand the latest innovations happening around the cutting edge or next-generation technologies, and after working with traditional relational database systems and NoSQL databases, I feel that the graph database has a significant role to play in the growth of an organization. Not only are traditional database systems generally inefficient in displaying complex hierarchical data, but even NoSQL lags a little. We usually see a degradation in performance with the number of levels of relationship and database size. Also, depending on the relationship, the number of joins may increase as well.

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Ahmad Yaseen

Constraints in SQL Server: SQL NOT NULL, UNIQUE and SQL PRIMARY KEY

October 25, 2017 by

This article explains the SQL NOT NULL, Unique and SQL Primary Key constraints in SQL Server with examples.

Constraints in SQL Server are predefined rules and restrictions that are enforced in a single column or multiple columns, regarding the values allowed in the columns, to maintain the integrity, accuracy, and reliability of that column’s data. In other words, if the inserted data meets the constraint rule, it will be inserted successfully. If the inserted data violates the defined constraint, the insert operation will be aborted.

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Ahmad Yaseen

SQL Server Data Type Conversion Methods and performance comparison

October 3, 2017 by

When you define SQL Server database tables, local variables, expressions or parameters, you should specify what kind of data will be stored in those objects, such as text data, numbers, money or dates. This attribute is called the SQL Server Data Type. SQL Server provides us with a big library of system data types that define all types of data that can be used with SQL Server, from which we can choose the SQL Server data type that is suitable for the data we will store in that object. You can also define your own customized user defined data type using T-SQL script. SQL Server data types can be categorized into seven main categories:

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Thomas LeBlanc

Using Many-to-Many Relationships in SQL Server Analysis Services (SSAS) 2016

September 7, 2017 by

The Multidimensional Cube option of Analysis Services has handled many-to-many relationships with ease for many versions before 2016. The Tabular had a work around using DAX formulas until the release of SQL Server 2016. There are still some limitations to many-to many in Tabular but of course, there are some “tricks” to overcome the limitations. But, the many-to-many relationship will be in businesses data for many years to come. A solution has to be provided when it comes to Analysis Service databases.

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Neeraj Prasad Sharma

Nested Loop Joins in SQL Server – Batch Sort and Implicit Sort

September 1, 2017 by

In SQL Server, it`s not always required to fully understand the internal structure, especially for performance and optimization, if the database design is good, because SQL Server is a very powerful Relational Database and, as such, it has many inbuilt optimization processes which assure a response to the users as fast as possible. But it is always beneficial for the SQL Server developers and administrators to understand the internal structure of the SQL Server so that they can understand and fix the problems that slowed the response of the Database.

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Vitor Montalvão

SQL Server system databases – the msdb database

July 14, 2017 by

Introduction

This article is the third I am writing about Microsoft SQL system databases.

In this article, I will focus only on the msdb database, one of the four system databases that exist in any MSSQL instance:

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Ahmad Yaseen

SQL Server SET Options that Affect the Query Result – SET CONCAT_NULL_YIELDS_NULL, SET NUMERIC_ROUNDABORT, SET QUOTED_IDENTIFIER, SET NOCOUNT, SET XACT_ABORT

July 4, 2017 by

In the previous article of this two-part series SQL Server SET Options that Affect the Query Result – SET ANSI_NULLS, SET ANSI_PADDING, SET ANSI_WARNINGS and SET ARITHABORT, we described the first four SQL Server SET options and showed practically how setting these options ON and OFF affects the SQL Server Database Engine behavior and the query result. To recall, SQL Server SET options are a group of session-level options that control how the SQL Server behaves on the database session level, and the option value can be changed using the SET T-SQL command for the current session that you execute the SET command on.

In this article, we will describe another five SET options and see how turning it ON and OFF will change the SQL Server behavior and the query result.

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Ahmad Yaseen

SQL Server SET Options that Affect the Query Result – SET ANSI_NULLS, SET ANSI_PADDING, SET ANSI_WARNINGS and SET ARITHABORT

June 30, 2017 by

SQL Server provides us with a number of options to control SQL Server behavior on the connection level. These session-level options are configured using the SET T-SQL command that change the option value for the session on which the SET command is executed. Changing the default value of these session-level configuration affects how the session queries will be executed affecting the query result. The performed change on a session-level option will be applied to the current session until its value is reset or until the current user’s session is terminated.

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Vitor Montalvão

Configuration, operations and restrictions of the tempdb SQL Server system database

June 28, 2017 by

Introduction

tempdb is one of the 4 system databases that exists in all SQL Server instances. The other databases are master, model and msdb. In case of using Replication, a fifth system database named distribution will also exist. You can find all existing system databases in SQL Server Management Studio (SSMS) under the Databases / System Databases folder:

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Ahmad Yaseen

SQL Server 2016 Memory-Optimized Tables – The Checkpoint operation

June 21, 2017 by

The SQL Server Database Engine stores data changes in the buffer pool, in memory, before applying it to the database files, for I/O performance reasons. After that, a special kind of background process, called Checkpoint, will write all of these not reflected pages, also known as Dirty Pages, to the database data and log files periodically.

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Gerald Britton

Discovering database specific information using built-in functions and dynamic management views (DMVs)

May 15, 2017 by

Introduction

In the last two articles on dynamic management views in SQL Server, Discovering SQL server instance information using system views and Discovering more SQL Server information using the built-in dynamic management views (DMVs), we used DMVs to discover a fair bit of information about the SQL Server instance we’re connected to. In this article, we’ll begin diving in to database specifics. There is a lot of territory to cover! We’ll also use several of the built-in functions that come with SQL Server.

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