{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Embracing Digital Transformation","title":"#185 History of Data-centrical Applications (revisited)","html":"","width":"100%","height":180,"duration":1958,"description":"The first episode of this podcast was released 185 episodes ago. In this episode, the host Darren Pulsipher redoes episode one to provide updated information on the history of data-centric application development. He discusses how new technologies like edge computing and AI have impacted data generation and the need for better data management. Early Data Processing In the early days of computing, applications were built to transform data from one form into another valuable output. Early computers like the ENIAC and Turing's machine for breaking the Enigma code worked by taking in data, processing it via an application, and outputting it to storage. Over time, technology advanced from specialized hardware to more generalized systems with CPUs and networking capabilities. This allowed data sharing between systems, enabling new applications. Emergence of VirtualizationIn the 1990s and 2000s, virtualization technology allowed entire systems to be encapsulated into virtual machines. This decoupled the application from the hardware, increasing portability. With the rise of Linux, virtual machines could now run on commodity x86 processors, lowering costs and barriers to entry. Virtualization increased ease of use but introduced new security and performance concerns. The Rise of Cloud Computing Cloud computing is built on virtualization, providing easy, on-demand access to computing resources over the internet. This allowed organizations to reduce capital expenditures and operational costs. However, moving to the cloud meant security, performance, and integration challenges. Cloud's pay-as-you-go model enabled new use cases and made consuming technology resources easier overall. Containerization and New ComplexityContainerization further abstracted applications from infrastructure by packaging apps with their runtimes, configuration, and dependencies—this increased portability and complexity in managing distributed applications and data across environments. Locality of...","thumbnail_url":"https://img.transistorcdn.com/IRrW2aizIeoZDn3gKLEax-JYQ8V_WzaFpHdgsslDx3k/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jM2Ji/MDk1OTdiYzA4ZWMw/NWNlOTY0N2RhMWQ3/YmY5Mi5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}