[This entry is part 6 of 6 in the series Grow Your Career
I’m going to kick this post off by taking sides in a long-standing feud.
Apple is amazing.
There. Edgy, right? Okay, so maybe you don’t agree with me, but you have to admit that a whole lot of people do. Why is that?
Image from AppleFanSite.com
Sure, there’s the snarky few that believe Apple products are successful due to an (more...)
Back in March of last year I wrote an article on the five frequently misused metrics in Oracle: These Aren’t the Metrics You’re Looking For.
To sum up, my five picks for the most misused metrics were:
- db file scattered read – Scattered reads aren’t always full table scans, and they’re certainly not always bad.
- Parse to Execute Ratio – This is not a metric that shows how often you’re hard parsing, no matter how (more...)
Random thoughts on a Friday afternoon…
We’ve all got problems. More to the point, every IT department or team has problems of some kind. It’s why we hire consultants, buy products, start long and arduous journeys into the great unknown depths of root cause analysis, and so on.
What fascinates me is the level at which we come to identify with our problems. When I’ve gone into an environment to deliver recommendations, the conversation usually (more...)
Alchemists are best known for their (completely fictional and entirely ridiculous, but that’s besides the point) amazing ability to turn lead into gold. Let’s face it, there’s a lot of lead in the Oracle world. Bugs, angry developers, metrics that can seem to elude human understanding…but I (more...)
With all the posts on Hadoop lately I bet you forgot I am an Oracle geek too, huh?
Well, if the name OracleAlchemist wasn’t enough to remind you, I have some news that might. Two big things have happened this week that I’d like to share.
You’ve purchased servers, storage space, switches, cables, and countless other pieces of hardware. The Oracle licenses are bought and paid for, Enterprise Edition with a few add-ons. All told, you’ve spent a small fortune on this infrastructure. It’s finally time to start up your database and begin using it for (more...)
[This entry is part 3 of 3 in the series Hadoop Streaming
In our first MapReduce with Hadoop Streaming in bash article, we took a collection of Stephen Crane poems and used a MapReduce job to calculate ‘term frequency’–meaning we counted the number of times each word in (more...)
[This entry is part 2 of 2 in the series Hadoop Streaming
In MapReduce with Hadoop Streaming in bash – Part 1 we found the ‘term frequency’ of words within a collection of documents. For the documents I chose 8 Stephen Crane poems, and our bash Map and Reduce (more...)
[This entry is part 1 of 1 in the series Hadoop Streaming
So to commemorate my recent certification and because my Java absolutely sucks, I decided to do a common algorithm using Hadoop Streaming.
Hadoop Streaming allows you to write MapReduce code in any language that can process (more...)