Cloud, Data, Analytics and AI

  • Musings on design patterns

    From Client server to MVC to microservices there has been a steady progression in application architectures. The core driver for these paradigm shifts are  MVC has championed a few ideas for these questions : three core component types : models, views, controllers are ‘identified’ i.e. explicitly labeled. Given this PoV, you can now think of […]

  • GraphQL + gRPC – A thought experiment

    Thought experiment : A native integration between GraphQL and gRPC would be awesome, isn’t it? where gRPC serves transport and GraphQL serves schema. Some context : Question is are the above 4 features already supported by gRPC.? To summarize GraphQL, as a language, acts like SQL for the frontend (a.k.a backend for the frontend) and is […]

  • The Telomere-to-Telomere Human Genome Sequence

    Might be worth your attention :“The complete sequence of a human genome”Abstract:“Since its initial release in 2000, the human reference genome has covered only the euchromatic fraction of the genome, leaving important heterochromatic regions unfinished. Addressing the remaining 8% of the genome, the Telomere-to-Telomere (T2T) Consortium presents a complete 3.055 billion–base pair sequence of a […]

  • Unlocking Insights: A Knowledge Graph Connecting Clinical Trials, Medical Vocabulary, and Research Articles

    Summary – Using this knowledge graph, comprising of 4 co-existing bi-partite graphs, one can move from any trial, across the globe, to medical vocabulary of diseases/interventions, to research articles. Also discover relationships b/w various medical topics through co-occurrences in articles.– Graph includes trials across the globe from nearly 20 clinical trial registries. Data is sourced from […]

  • Why algorithmic thinking is needed

    Introduction Problem modeling Solution Approach Approach 1 : Brute force Analysis Approach 2 : Sort file B and do binary search for file A’s contents Analysis Approach 3 : Sort file A and B and do file co-parsing by streaming both files Analysis Author : Madhulatha Mandarapu Context: This post was later published on LinkedIn here.

  • Enterprise Knowledge Graphs and the need for it

    Today, most enterprises have a Business Intelligence and analytics teams. They address the time-sensitive, operational needs of the organization. Also, importantly, business decisions are taken based on insights discovered from these platforms. Often AI/ML helps project into the future. Most often, BI platforms and the need for a workforce is acknowledged and highly valued by […]

  • Open knowledge graph on clinical trials

    VaidhyaMegha is building an open knowledge graph on clinical trials, comprising Specification Below is a very brief specification Additionally, clinical trial -> clinical trial links across trial registries will also be discovered and added. Source code Current State Reference VaidhyaMegha’s prior work on Last 3 are covered in the “examples” folder here. They were covered in separate public repos here earlier. This […]

  • FAQ : Cloud : NFRs, FOSS and Cost : TL;DR version

    Note : This is why you need architects and why every cloud provides blueprints, certifications, blogs, sample applications and are constantly trying to refine, refactor, rebuild their services. Source : Decades of experiences across many cloud providers. Trigger : Recent conversations with enterpreneurs/clients/prospects. Reference : What is an NFR? What is TL;DR This post was later published on […]

  • Web 3.0

    1 Introduction Given the interest generated recently due to Elon Musk’s and Jack Dorsey’s tweets on Web 3.0. Here are few topics, thoughts, thought experiments and ideas. 1.1 Topics Web 1.0 – Static content – HTML, URI, URL, HTTP. Access/Read content from anywhere with a browser. Web 2.0 – Interactive – Apps – Forms, AJAX, Search, Secure […]

  • What research topics are covered in your favorite sci-fi show

    Why would you want to do that… well if you like a show enough to binge watch on it say – the big bang theory, Grey’s anatomy, Star Trek , silicon valley etc… you can dig deeper on the ideas/topics presented there (that fascinated you so much) to find newer alternatives, recent extensions, occasional fallacies […]

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