With today’s challenging economic times it has become more and more important to manage and rectify changing sales patterns and trends.
In today’s “get together” we shall be expanding our outlook by creating efficient and effective reports utilizing SQL Server Reporting Service 2016 and T-SQL, together with the DAX code that we created in our last “fire side chat”.
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In my article, Warehousing JSON Formatted Data in SQL Server 2016, we had a look at available T-SQL options for converting JSON data into rows and columns for the purposes of populating a SQL Server based data warehouse. The increased popularity of JSON in modern web applications may create a requirement for data teams to expose some of their data to client applications (i.e. reporting tools, web services etc.) in a JSON format. In this article we take a look at how such a requirement can be implemented by data teams using SQL Server 2016 FOR JSON clause
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In this article, I continue to review the exciting features available in SQL Server 2016. One such feature is the long awaited T-SQL support for JSON formatted data. In this article we take a look at how JSON support will impact data warehouse solutions.
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A common activity when writing T-SQL queries is connecting to local databases and processing data directly. But there will be situations in which you need to connect to a remote database that is located in a different instance in the same server or in a different physical server, and process its data in parallel with the local data processing.
SQL Server provides us with four useful methods to connect to the remote database servers, even other database server types, and query its data within your T-SQL statement. In this article, we will discuss these four methods and how to use it to query remote SQL Server databases.
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SQL Server Templates are SQL scripts, containing SQL code, frequently used by developers and DBAs in their daily work (e.g. Create Table, Add Column, Drop Column, Create Database, Create Logins etc.):
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Snippets are a great productivity feature to speed up typing of repetitive T-SQL. Snippets were introduced in SQL Server 2012 as part of SQL Server Management Studio (SSMS).
Snippets are XML templates with predefined fields and values that render into T-SQL, when processed by the query window.
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SQL Server Integration Services (SSIS) and PowerShell (PS) together offer a plethora of opportunities, and some shortcuts when having to import, export, or at times moving data. I have come across packages that contain a Script Task with lines and lines of C# code that, done with PowerShell, could make maintaining that package much easier. Overall, the most common thing I see Script Task doing is accessing the file system or doing some manipulation on a file. One thing I hope that picks up speed in the BI world of SSIS is utilizing PowerShell for these type of actions. This is not to say one is better than the other as you should pick what is best in your eyes, but when I can do operations against the file system with a one-liner in PowerShell it is just easier to maintain that in the package. In this article I will go over how you can use the most common task utilized for executing PowerShell code in an SSIS package: Execute Process Task.
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In relational databases, operations are made on a set of rows. For example, a SELECT statement returns a set of rows which is called a result set. Sometimes the application logic needs to work with a row at a time rather than the entire result set at once. In T-SQL, one way of doing this is using a CURSOR.
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PowerShell (aka Posh or just PS) is becoming more and more of a tool for operational support and some deployment scenarios. If you need to pull or place data into SQL Server, PS can be a handy way of doing it in both one-off and automated work.
There are a number of ways to connect to SQL Server via PS. In this article I wanted to go over the options that are available to you. If you have used PS for any number of months or years, you know there tends to be multiple ways of performing a task. So it goes without saying if you are building out scripts to use in production to test, test, and test…then test it one more time.
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Gaps existence in automatic sequenced columns occurs all the time. Missing identity values (or other sequencing values) occur for a variety of Reasons.
The most common reasons include: roll backed transactions, failed inserts and Deletes, large row deletes after delete commands that occur after many inserts to a sequenced table and so forth.
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Introduction
One of the primary functions of a Business Intelligence team is to enable business users with an understanding of data created and stored by business systems. Understanding the data should give business users an insight into how the business is performing. A typical understanding of data within an insurance industry could relate to measuring the number of claims received vs successfully processed claims. Such data could be stored in source system as per the layout in Table 1:
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In earlier chapters, I show you how to create your Virtual Machine in Azure using Power Shell.
In this new chapter, I will show you how to get information about your VM machine already created. We will use PowerShell cmdlet commands to retrieve the information.
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Sometimes, we need to use the command line to copy tables using the command line. In this new chapter, we will use the BCP command to copy tables from a local machine to the SQL Server in Azure. The BCP is a very fast bulk copy tools used for this purpose.
We will also learn how to create a Linked Server in our local machine to Azure. The Linked Servers are very powerful features of SQL Server to connect SQL Server to different Data Sources like Excel, MS Access, Oracle, MySQL, and several databases. In this example, we will connect to SQL Azure.
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The first time that you create your VM in Azure manually using the UI is a very pleasant experience. However, when you have hundred and sometimes thousands of computers it is extremely exhausting and boring to create and configure it.
With PowerShell, it is possible to automate several administrative tasks and create scripts to automatically create VMs, enable ports, download and create remote desktop files, administer services, etc.
In this new chapter, we will show how to create a Virtual Machine in Azure with SQL Server installed using PowerShell.
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Sometimes we need to move our local files, SQL scripts, backups from our local machine to Azure or vice versa. This can be done manually by accessing to Azure and using a browser, but there are other methods to automatically do this. This article describes the Microsoft Azure Storage Tool. This is a command line tool used to upload data to Azure from a local machine or to download data from Azure to our local machine. The article will describe step by step how to work with this tool.
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PowerShell is a shell used specially to automate administrative tasks.
It is an incredible tool used to programmatically automate tasks like SQL Server tasks, Exchange tasks, Windows tasks, etc. It is very useful to integrate different Microsoft and sometimes non-Microsoft programs.
In this new tutorial, we will show how to install PowerShell for Azure and then how to use it. We will create some databases, edit database properties and retrieve database information using PowerShell.
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The sqlcmd is a very powerful tool to run SQL Server scripts, T-SQL commands. It is also very useful in disaster recovery situations like restoring the master database.
The sqlcmd can also be used in the Cloud, specifically with SQL Server Azure. In this new article, we will describe how to connect from a local machine to an Azure Virtual Machine (VM) with SQL Server Installed using sqlcmd.
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In my last article entitled “Which fields do my reports actually use”, we had a quick look at a practical implementation of an XPATH query to obtain a list of database table fields being utilized by our reports. Reporting Services reports are really no more than XML documents. The fields utilized by our reports reside in Reporting Services datasets.
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In our last two chats, we discussed enterprises that have had financial years that began in July and ended at the end of June. One of our clients works with this fiscal calendar and their financial folks are Excel “Fundi’s” (Fundisa is a Nguni word for “expert”). Many of their reports contain the current month’s sales, in addition, carrying running totals from the beginning of the fiscal year to date. Read more »
Now that Karla’s restore process is mature, it is time to pre-stage the means of reporting on these events. Two major actions have been taken for each database tested. First a restore operation occurred. The restore operation validates that the backup file is well formed and that there is nothing wrong with the data which would cause a failure. Next CheckTables was executed to thoroughly inspect for data corruption and any consistency errors. Each of these two actions will have their own methods of providing evidence of successful completion. Recall the requirements set by Karla, in part 1 of this series, for the reporting piece. Read more »
Karla is a production database administrator and she has a lot in common with you. Being responsible for database backups and recovery, she has implemented a well-structured automated backup system. Maybe she’s using Ola Hallengren’s Maintenance Solution, custom T-SQL stored procedures, or a set of PowerShell scripts. She has heard the saying, “a DBA only needs one thing, either a backup or a resume, but never both,” and is confident that she won’t be dusting off the resume any time soon. Read more »
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