MS Guy Does Hadoop (Part 3 – Hive)
Writing MapReduce Java jobs might be OK for simple analytical needs or distributing processing jobs but it might be challenging for more involved scenarios, such as joining two datasets. This […]
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Writing MapReduce Java jobs might be OK for simple analytical needs or distributing processing jobs but it might be challenging for more involved scenarios, such as joining two datasets. This […]
In part 1 of my Hadoop adventures, I walked you through the steps of setting the Cloudera virtual machine, which comes with CentOS and Hadoop preinstalled. Now, I’ll go through […]
With Big Data and Hadoop getting a lot of attention nowadays, I’ve decided it’s time to take a look so I am starting a log of my Hadoop adventures. I […]
Scenario: A SharePoint 2010 scale-out farm with two application servers: APP1 – Runs Excel Calculation Services (ECS) APP2 – Runs PowerPivot for SharePoint (R2 or 2010) Do you need to […]
This is a blog post that I’ve been planning for a while. With the ever-increasing power of laptops and desktop computers and declining hardware prices, personal BI is on the […]
I had a presentation on the BI Semantic Layer and Tabular modeling for the Atlanta BI Group on Monday. Midway during the presentation, a DBA asked why we need an […]
I’ll be presenting “The Analysis Services 2012 Tabular Model” for the Atlanta BI Group on Monday, May 21st. And, Darren Herbold will share some great insights harvested from a real-life […]
Performance tuning – my favorite! This blog originated from a quest to reduce the processing time of an SSAS cube which loads some 2.5 billion rows and includes DISCINTCT COUNT […]
When moving to SQL Server 2012, ETL developers would need to rethink custom ETL frameworks. If you embrace the new project deployment model, SQL Server 2012 offers a lot of […]
Scenario: Processing a 100 GB SSAS 2012 cube on a dedicated DELL PowerEdge server (128 GB RAM with 32 logical cores) reveals that 50% of the time is spent on […]
