Pass-Tv

Ecco i numeri della galassia PASS, presentati al Summit 2014…

 

…mi pare non siano necessari commenti!

Sempre più professionisti, tecnici e analisti ritengono che questo evento sia un importantissimo momento di formazione e scambio culturale in cui è possibile accedere a risorse con competenze e professionalità elevatissime, mi riferisco agli Speaker, ai componenti del Team SQLCAT, ai tecnici che presidiano la SQL Server Clinic e ai componenti del Team di sviluppo di SQL Server.

Sul canale SQLPASS TV è stata pubblicata la sessione Troubleshooting Clusters tenuta da Allan Hirt (@SQLHA) durante lo scorso PASS Summit 2013.

Abstract

Whether you are new to clusters or have years of experience, you may still cross your fingers when implementing a failover cluster instance (FCI) of SQL Server or an availability group (AG). Both require an underlying Windows Server failover cluster (WSFC), but how many DBAs are involved in the planning and deployment of it? What happens if you try to install an FCI or configure an AG and things don’t work? Or worse, what if the implementation fails after going live in production? This session will cover how to diagnose what went wrong and the free tools available to you, as well as demonstrate how to fix common issues that every DBA should know about.

Sul canale SQLPASS TV è stata pubblicata la sessione “Skewed Data, Poor Cardinality Estimates, and Plans Gone Bad” tenuta da Kimberly Tripp (@KimberlyLTripp) durante lo scorso PASS Summit 2013.

Abstract

When data distribution is heavily skewed, cardinality estimation (how many rows the query optimizer expects each operator to process) can be wildly incorrect, resulting in poor quality query plans and degraded performance. You’ve probably seen the advice to update all statistics if a query plan looks wrong - but is that the right advice? In many cases, no! These are “sledgehammer” approaches, and while they might solve some problems (usually parameter sniffing problems), they don’t solve the actual problem. In this session, you’ll learn a generalized yet tailored-to-the-table way to solve query plan quality problems for very large tables (VLTs). Topics will include creating, using, and updating filtered statistics; using forced parameterization and templatized plan guides; and understanding stored procedures and how they can leverage filtered statistics.

Sul canale SQLPASS TV è stata pubblicata la sessione Building Your T-SQL Tool Kit: Window Function Fundamentals tenuta da Christina E. Leo (@christinaleo) durante lo scorso PASS Summit 2013.

Abstract

Have you pulled a script to identify duplicates from a blog post but couldn’t quite get it to work because you weren’t sure what that ROW_NUMBER() function was doing? Maybe you heard talk about creating running totals without using subqueries, but you got frustrated when the groups weren’t totaling correctly. Or maybe, you’ve never even heard of window functions. All are good reasons to attend this all-demo session, which demystifies this versatile T-SQL tool. First, we’ll break apart the OVER clause, the key to understanding how window functions work. Then we’ll expand on each group of functions that can use the OVER clause: ranking, aggregate, and analytic functions. Finally, we’ll look at real scenarios where this tool works and talk about performance considerations. When you leave, you’ll have the fundamentals you need to fully develop your mastery of window functions.

Sul canale SQLPASS TV è stata pubblicata la sessione Automate Your ETL Infrastructure with SSIS and PowerShell tenuta da Allen White (@SQLRunr) durante lo scorso PASS Summit 2013.

Abstract

Much of your ETL process flow consists of packages that are very similar in structure, capturing data from a single source and transferring that to a single destination. Creating the individual packages can be tedious, and it’s easy to miss something in the process of generating the same basic package over and over again. BI Markup Language makes it easy to build new packages, and PowerShell makes creating the BIML scripts easy. In this session, we’ll see how you can use PowerShell to generate dozens of SSIS packages doing similar tasks from a defined set of ETL sources.