With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.
The software industry is undergoing numerous changes with the growth and advancement in technology and the emergence of Agile and DevOps. Software testing has slowly transitioned from manual testing to record-and-playback testing to automated testing, and now codeless testing is disrupting the software testing approach in the industry. The codeless automated testing involves the execution of automated testing without using any script.
Times have surely changed — we’ve all moved on from TVs to mobile phones and laptops to consume various forms of content. As per Data Reportal, there are over 5.27 billion mobile users globally, and this data also reports that the number of users is increasing by 1.9% per year; the internet users are increasing at an annual growth of 7½%, especially in the developing countries.
What do Google’s DevOps Research and Assessment (DORA) and Rollbar have to do with each other? DORA identified four key metrics to measure DevOps performance and identified four levels of DevOps performance from Low to Elite. One way for a team to become an Elite DevOps performer is by focusing on Continuous Code Improvement.
Gartner recognizes Fivetran as the “vendor of choice” for enterprises looking to modernize their data infrastructure.
