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SSIS
Articles filed under SSIS
Articles
Showing 1–8 of 8
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Stages of Data #1: A New Beginning
Kevin leaves his SQL Server-focused Baker’s Dozen behind and launches into a new series looking at the various stages of data warehousing. His first installment includes a look at reporting and storage layers, handy tips, and dealing with the business side of development.
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The Baker’s Dozen State of the Union: 13 Points on SQL Server Data Warehousing and Business Intelligence
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Kevin takes a look at SQL Server “then and now,” and shows us just how important it is to understand the various tools involved in BI.
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Baker's Dozen--Business Intelligence Developers
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If you want to be a great SQL Server developer, you’ll want to pay attention to these 13 key points. Kevin Goff covers both best practices and common pitfalls of Business Intelligence.
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The Baker’s Dozen: 13 Examples Using XMLA to Update Analytic Databases
In this article, Kevin Goff provides a comprehensive guide to using XMLA commands for updating Microsoft SQL Server Analysis Services (SSAS) analytic databases, emphasizing that unlike relational databases, OLAP updates require batch-oriented XMLA processing rather than T-SQL DML. He presents 13 practical scenarios—including full and incremental processing of dimensions and fact tables, managing rigid attribute relationships, maintaining indexes, and leveraging SSIS and .NET for automation—highlighting best practices and common pitfalls. Kevin’s detailed walkthrough equips developers with essential XMLA knowledge to efficiently populate, update, and maintain SSAS cubes in production environments.
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The Baker’s Dozen: 13 Differences Between Analysis Services OLAP and Tabular
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In this article, Kevin Goff provides a detailed comparison of Microsoft SQL Server Analysis Services (SSAS) OLAP and the newer SSAS Tabular model, highlighting thirteen key differences based on functionality, scalability, and ease of use. While the Tabular model offers a more modern interface and leverages in-memory technology with DAX, Goff emphasizes that SSAS OLAP remains superior in handling large datasets, complex relationships, parallel processing, and advanced features like MDX named sets. He concludes that although Tabular shows promise and suits certain projects, OLAP is still the more powerful and mature choice for most enterprise analytics today.
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The Baker’s Dozen: 13 Tips for Basics of Data Warehousing and Dimensional Modeling
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Imagine you’re working for a company that has accumulated a tremendous amount of transaction data. The business users want to perform all sorts of analysis, monitoring and analytics on the data. Some OLTP developers might reply with, “Just create views or stored procedures to query all the data the way the users want.” Many companies initially take that approach - however, just like certain technologies and system hardware configurations don’t scale well, certain methodologies don’t scale well either. Fortunately, this is where data warehousing and dimensional modeling can help. In this article, I’ll provide some basic information for developers on the basics of data warehousing and dimensional modeling - information that might help you if you want to provide even more value for your company.
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The Baker’s Dozen Doubleheader: 26 new Features in SQL Server Integration Services 2012 (Part 2 of 2)
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The new release of SQL Server's Integration Services has many exciting new features
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The Baker’s Dozen: 13 More Examples of Functionality in SQL Server 2008 Integration Services
In the last Baker’s Dozen article, I demonstrated 13 SSIS packages to show what Integration Services can do. This article picks up where the last one left off. I’ll show some capabilities in SSIS, such as handling irregular input files, extracting database changes, implementing package configurations, and leveraging the advanced lookup features in SSIS 2008.