Steve Simon

Setting run dates on the fly

February 27, 2015 by

Introduction

I recently heard from a lady from overseas who wanted to find a quick and dirty mechanism of extracting data for a given date range (based upon a fiscal year that started July 1st and ended June 30th). The idea interested me and as always, I had to try it out.

In today’s “get together”, we are going to have a look at how this may be achieved.

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Steve Simon

Aggregate totals _ pivot tables and more

February 23, 2015 by

Introduction

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 an 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 »

Steve Simon

A front end definitely out of the box

February 20, 2015 by

Introduction

Oft times we are forced into situations where we clearly need to think outside of the box. A case at hand arose early in 2014 where one of our client’s required a “quick and dirty” front end to modify data within a table that reflected the outstanding balances (of their clients) and the attempts that they had made to recover these funds. Master Data Services seemed to be the way to go!

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Steve Simon

Monitoring SQL Server Reporting Services

February 19, 2015 by

Introduction

In our last get together I mentioned that oft times SQL Server reports are created due to a dire business need, used once and never again. Further, some reports that we believe are not often used could be “top of the pops” unbeknown to us. A guess as to the amount of times a report is used per month, in addition to the statistics behind each report should not be guess work, but rather monitored actively to ensure that frequently used reports are both efficient and effective. Further, those reports that are either not used or have not been run in quite some time, should perhaps be removed in order to keep the server clean and not cluttered.

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Steve Simon

Creating dynamically generated CSV files containing SQL Server data

February 12, 2015 by

Introduction

A few months back, I presented a paper at SQL Saturday 327 in Johannesburg, South Africa. Late last month I received an email from one of the attendees. His issue was quite interesting and I decided to share it with you. The gentleman wanted a SSIS script that would permit him to extract data from a SQL Server database table and place it in a CSV file with a dynamically allocated name. Being a strong advocate of using the SSIS toolbox, I experimented with an alternative solution. We are going to construct THIS SOLUTION in today’s get together.

Let’s get started.

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Steve Simon

SQL Server Reporting Services Best Practices

February 11, 2015 by

Introduction

In past chats, we have had a look at a myriad of different business intelligence techniques that one can utilize to turn data into information. In today’s “get together” we are going to try to pull all these techniques together, rationalize our development plans and more over look at some good habits to adopt or for the want of better words utilize SQL Server Reporting Services Best Practices.

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Minette Steynberg

Reading the SQL Server Transaction Log

February 9, 2015 by

Introduction

There has always been some debate as to whether or not there are real benefits to be gained from accessing the information in the transaction log. This article will endeavor to answer that question by looking at the following:

  • What is the SQL Server Transaction Log?
  • What information is stored in the transaction log?
  • What can be gained by accessing the information in the transaction log?
  • How does the transaction log work?
  • What tools are available for reading the transaction log?
  • And ultimately, is this something we should be doing at all?
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Murilo Miranda

In-Memory OLTP – Three key points to entertain your watchdog

February 4, 2015 by

With the introduction of the in-memory technology, we need to think about what are the new challenges to keep the service up and running. In this article I will explore one of the three key points to monitor in order to maintain your SQL Server healthy.

Last week I spoke at my local SQL Server user group, in Lisbon. The session was nice and the good feedback received encouraged me to write about this and share information that is not too spread over the internet (so far…): Monitor environments using In-Memory OLTP.

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Régis Baccaro

Continuous Deployment using SQL Server Data Tools and Visual Studio Online

February 2, 2015 by

In the previous posts

Deployment to several databases using SQL Server Data Tools and TFS using a Custom Workflow file
Deployment to several databases using SQL Server Data Tools and Team foundation Server
Continuous integration with SQL Server Data Tools and Team Foundation Server

I have been mostly writing about the interaction between SQL Server Data Tools and Team Foundation Server. Microsoft provides a hosted version of Team Foundation Build Service called Visual Studio Online. The configuration and functionality is mostly the same than what I have previously been writing about but there are some specifics things that we need to be aware when using Visual Studio Online Build Service.

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Luan Moreno M. Maciel

In-Memory OLTP Series – Introduction

January 30, 2015 by

Introduced on SQL Server 2014, the new brand feature In-Memory OLTP a.k.a “Hekaton” is a Main-Memory Database Engine. Developed by Microsoft Research & Paul Larson (Database Research Group at MSFT) this feature have the ability to manage and held tables entirely In-Memory. In this Series we will pass through for all the new concepts and components that makes this New Engine the most excited acquisition of the new SQL Server Version (120).

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Steve Simon

Grab your pick and shovel and lets mine

January 19, 2015 by

Introduction

In past chats, we have had a look at a myriad of different Business Intelligence techniques that one can utilize to turn data into information. In today’s get together we are going to have a look at a technique dear to my heart and often overlooked. We are going to be looking at data mining with SQL Server, from soup to nuts.

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