Skip to main content
Ryan Orban

Ryan Orban

Subject
9 entries

Ecosystem

Bookmarks

  1. Decentralized Tech Ecosystem Map

    The Digital Life Collective's Kumu map of the decentralized tech ecosystem — a visual graph of projects, protocols, and organizations across blockchain, P2P, privacy, identity, and governance spaces. A useful orientation map for the broader decentralization movement.

  2. AI Infrastructure Ecosystem 2022

    A mid-2022 industry report mapping the AI/ML infrastructure ecosystem across three build strategies (build-your-own, end-to-end platforms, best-of-breed composable stacks) and the full toolchain from orchestration through model serving. A useful time-capsule of the MLOps landscape just before the LLM era reshaped it.

  3. Ethereum Foundation Annual Report 2022

    The Ethereum Foundation's April 2022 annual report covering 2021 activities, philosophy, and financials. A window into how a non-controlling organization stewards a decentralized public blockchain.

  4. Insight Data Engineering Ecosystem Map

    Insight Data Science's map of the data engineering ecosystem circa 2017 — a diagram organizing dozens of tools by pipeline stage (ingest, store, process, visualize). A widely shared snapshot of the Hadoop/Spark era's explosion of competing infrastructure tools.

  5. The Homogenization of Scientific Computing: Why Python Is Eating Other Languages' Lunch

    R-Bloggers post arguing that Python was converging on R and MATLAB's territory in scientific computing in 2014. The key insight: Python didn't win by being better at any one thing, but by being good enough at everything while sharing one ecosystem.

  6. Python Extensions to Do Machine Learning

    A roundup of Python extensions and libraries for machine learning circa 2013 — the ecosystem before it had fully consolidated around scikit-learn, NumPy, pandas, and matplotlib as the canonical stack.

  7. Big Data Ecosystem Map (2013)

    A map of the big data ecosystem as it existed in 2013 — an attempt to catalog the dozens of Hadoop-adjacent tools, databases, analytics platforms, and services that had emerged. A useful historical artifact of the big data vendor explosion before consolidation.

  8. Introduction to Big Data and Hadoop Ecosystem

    A beginner's introduction to the Apache Hadoop ecosystem cataloguing all major components — HDFS, MapReduce, Hive, HBase, Pig, Mahout, Sqoop, ZooKeeper, and more. A useful taxonomy of the 2012-era Hadoop stack.

  9. New Tools Simplify the Power of Hadoop

    InformationWeek's 2012 survey of tools making Hadoop more approachable for enterprise practitioners — the abstraction layers (Hive, Pig, HBase) and commercial distributions (Cloudera, Hortonworks) that were papering over Hadoop's low-level complexity. Captures the ecosystem's maturation moment.

All bookmarks