Recently, while working on a Python app, I needed an SQLAlchemy functionality to insert default values into SQLite database. In particular, I simply needed to execute some DDL only once after the database was created. How does SQLAlchemy handle this? Let’s investigate it on a simple database model for a prototype of a todo app created in the online database designer Vertabelo.
In recent years, API use, and reliance on web services has increased. Here's a list of 12 awesome web service testing tools to aid your API and web service journey.
Spotlight.io is a new API and modeling tool, and has some neat features. Here's a quick introductory overview of Spotlight, and cool services such as automatic generation of an OpenAPI Spec.
Microservices-based systems are increasingly prevalent. Here's a look at five common microservice-specific performance challenges and how to meet them.
Here;s a look at REST API documentation with the JAXRS-Analyzer. API documents are by default technical catalogs, and developers must have instructions fir requesting service from platforms or systems.
OpenCart is one of the most popular eCommerce platforms available on the market today. In this article, we will walk through the simple steps involved in setting up the multi-store feature using a single OpenCart installation.
I’m not an ETL expert. In fact, I haven’t done any professional ETL work for several years. My skills are, at best, rusty. With this in mind, I knew I’d have a hard time extracting data from a local database in order to move it up to Azure SQL Data Warehouse. Read on to hear about my journey.
Barclays Data Scientist Gianmario Spacagna and Harry Powell, Head of Advanced Analytics, describe how they iteratively process raw data directly from the central data warehouse into Spark and how Tachyon is their key enabling technology.
Let’s talk about graph databases. Some industry watchers claim that they are the fastest-growing type of database. If so, maybe it’s useful to know more about them. So, let's start with the basics: what is a graph database, and what is it useful for?
As you plan your analytics and data architecture on AWS, you may get confused between Redshift and Aurora. Both are advertised to be scalable and performant. Both are supposedly better than incumbents. Both have optically inspired names. So, what’s the difference?