Here are my favorite Data Science/Data Analytics Resources Curriculum 1) MIT Open Courseware A great MOOC (Massive Online Open Courses) to learn about the math and statistical fundamentals of Data Science, such as linear algebra, statistics, probability, etc. From a great university. This will give you some of the fundamentals of data science. https://ocw.mit.edu 2)… Read More
“It’s not the destination, it’s the Journey…” I suspect building a full-size self-driving car seems like a momentous task – and it is. But a few things we have going for us. As I stated in my previous blog, autonomous (self-driving) cars have a lot of the STEM aspects you want to instill in your… Read More
“The two biggest challenges with this project is: 1) Getting your kids more interested in the project over their video games. 2) Convincing your child’s science teacher they did most of the work for the school science fair” Before I start delving into the technical rigors of building a self-driving car. I want to talk… Read More
I was never really a “car” guy. I always saw them as transportation from point A to point B. I’ve abhorred walking into a car dealership to negotiate car purchases; and as a parent, keeping my car clean seemed like an constant battle. Driving long distances, even if the car was clean, was especially arduous… Read More
When writing PL/SQL code for Big Data applications it’s always a good idea to leverage the database as much as possible. This is particularly true for ETL or warehousing processing. In my experience, I’ve tried to quantify objects in Oracle programming that work best to temporarily store data. As part of your Big Data application,… Read More
“The goal is to have databases in the Cloud run autonomously. The Cloud should be about scale, elasticity, statelessness and ease of operation and interoperability. Cloud infrastructures are about moving processes into microservices and the agile deployment of business services. Deep Learning has the potential to give databases innovative and powerful level autonomy in a multitenant environment, allowing DBAs the freedom to offer expertise in system architecture and design…”.
I’ve been working with data for decades, searching for insights, converting it, managing it, and now performing data analytics. We have access to unbelievable treasure troves of public data to analyze. Many of the blogs I write are based on these datasets, as I don’t have access to large computing systems. Here is a list… Read More