Can you believe it’s almost 2019? We can’t either, but we’re excited it’ll be another big year for developers. According to the U.S. Bureau of Labor Statistics, due to increased demand for software solutions, developer employment is forecasted to increase 24% from 2016 to 2026 (Qlik’s contributing with these worldwide openings). To compare, the average growth rate for all occupations is 7%.
The challenge today for big data is that 85% of on-premises based Big Data projects fail to meet expectations and over 2/3 of Big Data potential is not being realized by organizations. Why is that you ask? Well, simply put on-premises “Big Data” programs are not that easy.
For the last few years, microservices have been gaining popularity as the software architecture pattern of the day. But even as enterprises grapple with how they can undergo “digital transformation,” some startups are looking back to their monolithic roots. Software Engineer Alexandra Noonan topped Hacker News in July with a blog post about Segment’s journey to microservices and back again.
When I attended the Pacific Northwest BI & Analytics Summit this summer, we had a great discussion about data interpretation and the way organizations consume data. One of the things that came up was how the industry has been so focused on using dashboards as the delivery mechanism for analytics that we’ve lost the art of long-form analysis.
Good API design separates APIs that merely expose assets from those that help developers get things done. As I’ve written before, and as we’ll explore in this article, good design includes the style in which web API URLs are constructed.
TL; DR, You can build UI test automation without mastering any of the programming languages. In every well-designed tech team, there is a balanced amount of developers taking care of the web, internal system, and applications. Next to them, ideally, are product owners, tech leads, designers and software testers. Being the only QA person in my team gave me hard times, but also a lot of freedom in my actions, decisions, strategies and, most significantly, allowed me to try out new approaches.
Let’s get technical! Read this if you are a QA noob But before you start: If you don’t know what Katalon Studio is, read this first, and get to know why I picked it to build web automation. To be mentioned, before looking at the studio, Katalon project offers an IDE tool for Chrome, called Katalon Recorder. It’s an extension that records actions, captures web elements, plays the automated test case you recorded and speaks Selenese.
It’s said that we should learn something new every day and in the past 24 hrs I’ve done very well, I’ve learnt 4 new facts. So, which one of these “facts” do you think is not data driven?
In the past blogs, we have learned how to install Talend Open Studio, how to build a basic job loading data into Snowflake, and how to use a tMap component to build more complex jobs. In this blog, we will enable you with some helpful debugging techniques and provide additional resources that you can leverage as you continue to learn more about Talend Open Studio.
The information revolution - which holds the promise of a supercharged economy through the use of advanced analytics, data management technologies, the cloud, and knowledge - is affecting every industry. Digital transformation requires major IT modernization and the ability to shorten time data to insights to make the right business decisions. For companies, it means being able to efficiently process and analyze data from a variety of sources at scale.
