Systems | Development | Analytics | API | Testing

The New Breed: How to Think About Robots

You’ve heard the saying “if you do what you love, you’ll never work a day in your life,” right? Well, I hate to say it, but that’s me. I never dreamed that I would wind up in a field that combined all of my interests, but somehow that happened. Through my research at the MIT Media Lab I get to apply my legal and social sciences background to human-robot interaction. Which yes, does mean that I mostly get to play with robots all day.

5 Best Practices for an Automation Center of Excellence

Given the array of ongoing challenges businesses face, including those posed by hybrid work and COVID-19, business automation is more important than ever. In large organizations, many business units have long been using robotic process automation (RPA) to automate simple manual tasks such as copying and pasting data. While RPA can address local needs quickly and easily, it can’t scale to deliver the complete end-to-end automation, also called hyperautomation, that modern companies need.

What's the Difference Between Continuous Integration and Continuous Deployment Software?

In the age of transformation, agility is critical for companies to remain competitive. Continuous integration/continuous deployment (CI/CD) is an automated software delivery process that empowers development teams to respond to market demands quickly. The process helps companies deploy new features as often as every few hours. This is ideal for teams using APIs to modernize legacy systems as a part of their digital transformation strategy.

Webinar Recap: Optimizing and Migrating Hadoop to Azure Databricks

The benefits of moving your on-prem Spark Hadoop environment to Databricks are undeniable. A recent Forrester Total Economic Impact (TEI) study reveals that deploying Databricks can pay for itself in less than six months, with a 417% ROI from cost savings and increased revenue & productivity over three years. But without the right methodology and tools, such modernization/migration can be a daunting task.

Data Lake vs Data Warehouse: 7 Critical Differences

Here are seven key differences between data lakes vs data warehouses: A lot of terms get thrown around in the big data space that every business should understand. Many of these terms are easily confused with each other. This is the case with data lakes vs data warehouses. What are some of the most important differences between them, and how can your business use them most effectively for data analytics and data management? Read on to learn the differences between data lakes and data warehouses.

How To Simplify The ETL Code Process with Low-Code Tools

Five differences between using an ETL platform vs. writing your own code: The ETL (extract, transform, load) process is one of the most critical, and one of the most challenging, parts of enterprise data integration. But what if we told you there was a low-code ETL solution to your problems?