Systems | Development | Analytics | API | Testing

Migrating Big Data to the Cloud

Unravel Data helps a lot of customers move big data operations to the cloud. Chris Santiago is Global Director of Solution Engineering here at Unravel. So Unravel, and Chris, know a lot about what can make these migrations fail. Chris and intrepid Unravel Data marketer Quoc Dang recently delivered a webinar, Reasons why your Big Data Cloud Migration Fails and Ways to Overcome. You can view the webinar now, or read on to learn more about how to overcome these failures.

1 Simple Trick To Massively Improve Automation Efficiency

Automated UI testing is a daily struggle for efficiency and reliability. A single misconfigured line of code can cost teams in hours of lost feedback time and test error triaging—potentially costing companies hundreds of thousands of dollars. In this case study we will see how interactions with only two web elements led to a 34% degradation in the test execution time.

Qlik Welcomes Blendr.io to Accelerate Active Intelligence

Incredibly excited about today’s news that Qlik has acquired Blendr.io. Blendr.io’s easy-to-use, scalable and secure embedded integration and automation platform (iPaaS) will expand our ability to deliver on our vision of Active Intelligence, where real-time, up-to-date data triggers immediate action to accelerate business value across the entire data and analytics supply chain.

Why Hiring a Data Analyst Won't Solve Your Business Problems

As businesses increasingly leverage data-driven decision making, the ability to use and understand data at the company-wide level becomes mission critical. While tech behemoths like Netflix, Airbnb, and Spotify have strong data cultures built over the last decade, most companies often face challenges getting up and running with data.

Reasons why your Big Data Cloud Migration Fails and Ways to Overcome

The Cloud brings many opportunities to help implement big data across your enterprise and organizations are taking advantage of migrating big data workloads to the cloud by utilizing best of breed technologies like Databricks, Cloudera, Amazon EMR and Azure HDI to name a few. However, as powerful as these technologies are, most organizations that attempt to use them fail. Join Chris Santiago, Director of Solution Engineering as he shares the top reasons why your big data cloud migration fails and ways to overcome it.

JavaScript Internals: Garbage Collection

Garbage collection (GC) is a very important process for all programming languages, whether it’s done manually (in low-level languages like C), or automatically. The curious thing is that most of us barely stop to think about how JavaScript — which is a programming language, and hence, needs to GC — does the trick. Like the majority of high-level languages, JavaScript allocates its objects and values to memory and releases them when they’re no longer needed. But, how?

The Best Guide to Docker, Kubernetes, & Container-Based Systems

We’re taking a closer look Container-Based Systems. The rise of the microservices-based applications has allowed global enterprises – like Amazon.com, Netflix, Uber, and Airbnb – to achieve unprecedented market dominance. Central to making these microservices-based applications possible is the concept of containerization, and at the core of containerization are Docker and Kubernetes – the two most widespread solutions for building and managing container-based applications.