When: 6-8pm Thursday May 17, 2018
Who: Dylan Hornstein
What: Learning SQL
During this PDXPUG meetup, we will talk about one person’s journey to learn SQL. From joining iovation’s Reporting Team without any experience with SQL or relational databases, to using SQL every day for adhoc data analysis and bulk data dumps, Dylan Hornstein will talk about his experience getting familiar with SQL and learning to navigate a relational database, as well as some challenges and tips he’s found along the way. The presentation is geared towards those starting out in data roles and we will likely expand into a wider conversation around using SQL and understanding data.
Dylan has been a Data Analyst at iovation for three years now. Having spent six months as a Client Manager before moving to his Data Analyst role, Dylan has experience working directly with iovation’s clients as well as working behind the scenes with the data. In his current role, he is responsible for providing reports, adhoc analysis and bulk data dumps for clients and internal teams. While Dylan had prior work experience as a Data Analyst, his move to iovation’s Reporting Team came with a steep learning curve, as he was new to working with SQL and relational databases.
If you have a job posting or event you would like me to announce at the meeting, please send it along. The deadline for inclusion is 5pm the day before the meeting.
Our meeting will be held at iovation, on the 3rd floor of the US Bancorp Tower at 111 SW 5th (5th & Oak). It’s right on the Green & Yellow Max lines. Underground bike parking is available in the parking garage; outdoors all around the block in the usual spots. No bikes in the office, sorry! For access to the 3rd floor of the plaza, please either take the lobby stairs to the third floor or take the plaza elevator (near Subway and Rabbit’s Cafe) to the third floor. There will be signs directing you to the meeting room. All attendess must check in at the iovation front desk.
See you there!
You can get the slides here:
Here are some other cool resources that came up
Data Analysis Template
Sweet PSQLrc file