Introduced in 1991, Python has grown to become a versatile and reliable programming language for modern computing requirements. Python is a powerful language used in web development, data science, software prototype creation, and much more. One of the best qualities of this language is it’s easy to learn and uniform across many use-cases.

The President of the USA has a 100 days to prove himself. You only have 90 if you have taken over a new leadership position. If you can’t build a suitable positive new momentum during this time, there might be hard work ahead of you or your leadership might even be doomed to failure. — The First 90 Days: Proven Strategies for Getting Up to Speed Faster and Smarter

As young children, our parents do their best to protect us from harm. We’re taught not to play in the road or speak with strangers. As we grow and our environment changes, these foundational lessons guide us even when we are old enough to know better than to touch a hot stove.

Five differences between Stitch vs. MuleSoft vs. Xplenty: Organizations of all types need to pull data from disparate locations for data analysis. But the average company draws data from over 400 sources, making data integration difficult. Imagine if a technology could compile data from locations such as in-house databases, cloud-based apps, and SaaS and move it all into a centralized location. Extract, Transform, Load (ETL) makes this possible.

Executing on your API strategy requires agile, iterative software development life cycles (SDLC) that are both responsive and provide a degree of structure and predictability to the way in which technology is deployed. Mature organizations that have mastered digital transformation have done so by leveraging the power of Application Programming Interfaces (APIs) within SDLC concepts to connect back-end data sources with front-end applications.

As companies adopt more apps and microservices they need reliable ways for them to interact with each other and legacy systems. API management platforms offer the best way to open communication between diverse digital assets. As you explore API management platforms, you will probably learn about Kong and Dell Boomi.

In the previous blog post, we looked at some of the application development concepts for the Cloudera Operational Database (COD). In this blog post, we’ll see how you can use other CDP services with COD. COD is an operational database-as-a-service that brings ease of use and flexibility to Apache HBase. Cloudera Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution.

The transportation industry has reached an inflection point – one in which nearly all forms of travel have been met with unprecedented challenges. Transit and airport revenues have been decimated with the lack of passengers, while freight and shipping companies have been overwhelmed with demand from an explosion of e-commerce orders. Despite facing unprecedented challenges, the industry is facing an equally unprecedented opportunity to innovate.

There are over 300 SaaS applications that help you automate your data operations. In this crowd of potential solutions, how do you narrow it down to the winning horse? Here we compare three top contenders for your data operations: from data ingestion, via ETL to full data management, we compare side-by-side Fivetran, Stitch, and Keboola to shed light on their respective strengths and weaknesses. Fivetran, Stitch, and Keboola are all cloud-based data platforms.

In order to learn how to test your APIs, especially how to load test your APIs, let’s first find out some essential info on APIs and RESTful APIs.