Matija Lah

String Concatenation Done Right – Part 1 – Dubious Practices

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Having to represent sets of data as strings is a very common requirement in information management, even in modern times where a variety of more or less elaborate standards for storing, and moving, data are at our disposal. For instance, XML, JSON, or similar techniques, allow the data to be extracted from one data source, using a well-known standard, and be stored temporarily until being loaded into a destination data store, or until being consumed in some other way. Actually, both XML as well as JSON might even be used as a standard way of storing data permanently; especially, if the consumers expect the data to use one or the other format.

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Steve Simon

OData and SSIS a marriage made in the clouds

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Introduction

A few days back I was looking at ways to access raw data from within Microsoft Dynamics CRM in an effort to extract the raw data and to place it in our data warehouse. I started to explore utilizing OData and SSIS to pull the necessary data from the cloud to our local warehouse.

Whilst there are known authentication issues between Dynamics CRM and the Microsoft OData SSIS data source (and thus we could not utilize this access method), I thought it to be so very powerful, that I began looking for other constructive manners in which to utilize the OData Source.

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Daniel Calbimonte

How to migrate your database to an Azure Virtual Machine

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In one of my articles about Microsoft Azure, I show how to create credentials and how to connect to an Azure Database using SQL Server Management Studio (SSMS). In this new article, we will talk about the Azure Virtual Machines and we will learn how to connect to them using our local SSMS. You will require unblocking ports, add endpoints and other tasks that I will explain later. We will also learn how to export a local database to an Azure Virtual Machine with SQL Server installed.

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Steve Simon

Automating your database restores

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Introduction

A few days back I encountered an interesting challenge. The client wanted to have copies of the nightly backups of the transactional databases restored on a warehouse server, to be utilized to update the warehouse.

The over all process

Prior to the pushing the daily backup to the warehouse server, the previous days restore is deleted. The important point being that the “SQLShackFinancial” database is no longer present on the warehouse server. Having been deleted, downloading of the backup file begins and the restore of the current backup version begins. Normal warehouse processing then ensues and so the cycle continues.

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Johan Ludvig Brattås

Performance tuning an SSAS Tabular model

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Modeling for the xVelocity/Vertipaq engine is a completely different beast than modeling for your trusty multi-dimensional SSAS cubes.
In-memory = blazingly fast; At least that’s what you would think.
As Tabular models gain popularity with business users and developers alike, we’re starting to see that this isn’t always the case.
We’re going to take a look at some of the common errors and mistakes and how to avoid them.
And since the PowerPivot engine is the same – you will learn how to tune your PowerPivot-based Excel workbooks as well.

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Steve Simon

Which fields do my reports ACTUALLY use!!

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Introduction

Have you ever felt like pulling your hair out, trying to ascertain exactly which fields in your existing Reporting Services datasets are being utilized by your reports. This happened to me recently during a corporate conversion and cleanup exercise for a database migration to the cloud.

The “aha moment came after having presented a paper at the PASS SQL Server Nordic Rally (March 2015), when one attendee came up to me and asked if I knew of a method to do this. As they say ‘necessity is the mother of invention’ and spiking my interest, I played around until I came up with the solution that we are going to chat about today. The end solution may be seen below

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Steve Simon

OOPs my report real estate is too small

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Introduction

Oft times we are forced into situations where we must clearly think outside of the box. In todays “get together”, we are going to discuss a challenge that I encountered during the last week of February of this year. The client had been charting weekly business calls placed by his sales reps. Our client had been tracking these results within an Excel spreadsheet (see the screen dump below) and he would be using this spreadsheet to report the sales reps progress going forward. My task was to source this data for the corporate reports in Reporting Services, from this spreadsheet and do so on a weekly basis. The client being resistant to change, was not willing to change the format of the spreadsheet to something more conducive to be utilized by the chart that he wished to produce (see immediately below).

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