Data is often compared to oil – it powers today’s organizations, just like the fossil fuel powered companies of the past. Just like oil, the data that companies collect needs to be refined, structured, and easily analyzed in order for it to really provide value in the form of gaining actionable insights. Every organization today is in the process of harnessing the power of their data using advanced analytics, which is likely running on a modern data stack.

The Google Cloud Public Datasets program recently published the Python Package Index (PyPI) dataset into the marketplace. PyPI is the standard repository for Python packages. If you’ve written code in Python before, you’ve probably downloaded packages from PyPI using pip or pipenv. This dataset provides statistics for all package downloads, along with metadata for each distribution. You can learn more about the underlying data and table schemas here.

Consider the following when choosing database processing options.

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Use database connectors to uncover insights about your operations.

Today, more than ever, line-of-business users responsible for managing working capital need actionable insights in real-time. At the same time, IT/data teams want to accelerate projects, as well as modernize and integrate their data architectures and analytics, while managing risks and costs.

Unless you've been living on Mars for the past few years, I'm sure you’ve heard the buzzword “microservices”, also known as microservices architecture. A distinctive development approach, this natural evolution in software engineering came about due to the ever-increasing complexities of enterprise applications. Traditional applications are usually monolithic in design, which makes them bulky and very difficult to adapt to the changing needs of the business.

The velocity of change is accelerating. The rate of change businesses are experiencing is just astounding. As many organizations have experienced during the pandemic, especially in their supply chain, the need for the data environment to be able to deliver faster is now mission-critical for all! We need better data—but at a rate that’s much faster than before. Businesses need their data teams to become more responsive to changing data demands. That means they need agility.

Cloud-based data warehouses offer unlimited scalability with the best features of both traditional data warehouses and data lakes.