Continuous Improvement in Agile
Continuous improvement identifies the opportunities to streamline the work while reducing waste. It follows the Japanese concept of kaizen, which means to make small incremental improvements continuously. Read more..
Continuous improvement identifies the opportunities to streamline the work while reducing waste. It follows the Japanese concept of kaizen, which means to make small incremental improvements continuously. Read more..
In Big data space if we think about large-scale data processing, then Apache Spark is considered as a unified analytics engine. Read more…
Testing is a part of the SDLC process that guarantees quality. Testing may be of many types and depends on the application type. However, testing applications through data has remained the most widely accepted choice, which in other ways is known as data-driven testing. Read more..
In software development, working solo might not turn always as the best solution. This has especially become a fact in the case of a bigger project. Pair programming which is an agile development technique in many cases produces good results along with strengthening the team spirit. Read more…
Big data is in place for a long time. However, to extract maximum output from the existing ecosystem, the need for flexible data architecture is always in demand. This is where the Data Lake concept comes into place, which brings a new paradigm shift in Big data architecture. Read more…
In today’s ultra-competitive market, a business just can’t win by utilizing its products and services. Instead, a holistic approach towards customer analytics can be the solo game player to win the confidence of the customers and leverage end-to-end customer experiences. Read more…
In the last few years, artificial intelligence has redefined the enterprise’s vision on how to extract insights from data. As per the opinion of most people, it is the next revolutionary technology. One of the PwC’s predictions indicates that AI could contribute $15.7 trillion to the global economy by 2030. But do you know AI comes in…