The architect’s dilemma; high, low, or no-code?

The evolution of software development has led to the emergence of low-code/no-code platforms alongside traditional high-code methods. While low-code platforms enable rapid development for non-technical users and simple applications, high-code remains essential for complex, customized projects. Organizations must assess their specific needs to determine the best approach.

Big Data solution – generic or specific, cloud or on-premise?

As businesses increasingly adopt Big Data technologies, choosing the right tools involves navigating numerous options. Companies must decide between building specific solutions or generic platforms. While tailored solutions can limit flexibility, generic platforms offer scalability and adaptability. Deployment options, either on-premise or cloud-based, further influence the implementation strategy, affecting future growth and exploration.

Big Data – quick overview

This overview categorizes major Big Data technologies into on-premise and cloud solutions. It details three principal on-premise distributions: Hortonworks, Cloudera, and MapR, along with their unique features. Additionally, it describes cloud solutions from Amazon, Google, and Microsoft, emphasizing their distinct data access methods, ingestion, and analytical tools.