Additional Articles


Technical Article

Getting Started with Azure SQL Data Warehouse - Part 1

As the demand for data analytics grows so does the need for a technology or platform to process large amounts of different types of data in timely manner. Azure SQL Data Warehouse is a new enterprise-class, elastic petabyte-scale, data warehouse service that can scale according to organizational demands in just a few minutes. Read on to learn more about this data warehouse-as-a-service offering from Microsoft.

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2017-02-21

5,158 reads

Technical Article

Introduction to SAP HANA on Azure

Microsoft and SAP share a long history of working together on a variety of interoperability solutions, including SAP Fiori and Office 365. In recent years, this trend has been exemplified by advancements in support for SAP-based solutions on Microsoft Azure. Marcin Policht provides an overview, focusing in particular on support for SAP HANA on Azure.

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2017-02-17

4,185 reads

External Article

Lists With, or Without, Ranges in both T-SQL and PowerShell

Whether you are working in a procedural language like PowerShell or in T-SQL, there is something slightly bothersome about having to deal with parameters that are lists, or worse with ranges amongst the values. In fact, once you have a way of dealing with them, they can be convenient, especially when bridging the gulf between application and the database. Phil Factor shows how to deal with them.

2017-02-16

4,920 reads

External Article

How to Build Your First SQL Server Virtual Lab in Windows Azure

If you are a DBA who hasn't so far dived in head-first into using Azure, it is worth setting up an Azure 'Virtual Lab' environment the easy way, using a template. This will then allow you to experiment, try things out with SQL Azure, and get familiar with Resource Groups. Joshua shows how to build a virtual lab, from the ground up in the first of a series that aims to give you a grounding in Azure.

2017-02-13

5,534 reads

External Article

Reconciling Data Across Systems Using a Reconciliation Hub

In many enterprises, where there are a number of separate systems engaged in processing data, there arises the daunting task of checking and reconciling data as it flows between systems. Discrepancies in data must be detected, tracked and corrected as quickly as possible: there is no room for error in doing this. A Reconciliation Hub can provide the answer, as Rahul Gupta explains.

2017-02-10

3,524 reads

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Reserved Words I

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