Streamline your Python development with GitLab CI; automate build, test, and publication of libraries to PyPI package repositories.
Think Big, Start Small.Some recent reflections...
The world of data, intelligence and analytics perpetually evolves, so too will the data structures we work with. With the rising popularity of data lakes, there’s a steadily increasing need for developers, consultants, and vendors to work with all kinds of data, be it structured, unstructured, or semistructured.
Finding the optimal length of a blog post is tricky, and depends on your subject matter, your audience, and the purpose of your publication. I’ve turned up a few solid recommendations for targeting Social media, organic search, and reader engagement with different formats.
Redshift is a great OLAP database environment, though its limitations may surprise you. Many of its benefits are derived from its simplicity, belied by these limitations. Provided these techniques and design considerations can be applied, Redshift offers the flexibility needed for growing, evolving organizations to leverage their data at massive scale. Overcoming these limitations requires a tooling ecosystem surrounding Redshift, whereas Redshift must be respected for the simple, efficient, and yet robustly queriable datastore that it is.