Hortonworks DataFlow (HDF) 3.5.2 was released at the end of 2020. The new releases will not continue under HDF as Cloudera brings the best and latest of Apache NiFi in the new Cloudera Flow Management (CFM) product. Getting the latest improvements and new features of NiFi is one of many reasons for you to move your legacy deployments of NiFi on this new platform. To that end, we released a few blog posts to help you migrate from HDF to CFM.
Testing any software project is an important step in order to find out how the software functions. Learning when the project acts as expected (and when it does not) is the ultimate goal of the testing process. Testing stops design errors from reaching production code. However, testing should not only happen before code is deployed.
In my previous blog posts, I’ve talked about how you can aggregate data depending on the data type, as well as how you can re-express your data to get more value from it. For this post, let’s look at some of the different ways of measuring your data.
Ask any analyst how they spend the majority of their work day and they’ll tell you: Performing remedial tasks that provide no analytics value. 92% of data workers report that their time is being siphoned away performing operational tasks outside of their roles. Data teams waste an inordinate amount of time maintaining the delicate data-to-dashboards pipelines they’ve created, leaving only 50% of their time to actually analyze data.
Think back to when your development team made the switch to Dockerized containers. What was once an application requiring multiple services on virtual machines transitioned to an application consisting of multiple, tidy Docker containers. While the result was a streamlined system, the transition likely was daunting. Now, it’s time for another transformational leap: moving from a single set of containers to a highly available, orchestrated deployment of replica sets using Kubernetes.
One of the most typical things a developer does is make an HTTP call to an API. An API request can be sent in a variety of ways. We can use a command-line tool like cURL, the browser's native Fetch API, or a package like Axios to accomplish this. Sending HTTP requests to your API with Axios is a fantastic tool. Axios is supported by all major browsers. The package can be used for your backend server, loaded via a CDN, or required in your frontend application.
Back in the day, frontend development was all about writing CSS, HTML, and JavaScript. However, it is no more the case. Now it has become much more complex and interesting than earlier. In addition, the e-commerce industry is evolving continuously, making frontend developers stay at par with the latest frontend technologies to create and build efficient and highly optimized websites for their businesses. In today’s article, we will see a definitive guide to SCSS, what it means and how to use it.
Aviva Zacks of Safety Detectives had the wonderful opportunity to sit down with Giovanny Gongora, Software Engineer at NodeSource. She asked him all about how his company provides deep analysis into their customers’ processes.