David Taieb

For the last 4 years, David has been the lead architect for the Watson Core UI & Tooling team based in Littleton, Massachusetts. During that time, he led the design and development of a Unified Tooling Platform to support all the Watson Tools including accuracy analysis, test experiments, corpus ingestion, and training data generation. Before that, he was the lead architect for the Domino Server OSGi team responsible for integrating the eXpeditor J2EE Web Container in Domino and building first class APIs for the developer community. He started with IBM in 1996, working on various globalization technologies and products including Domino Global Workbench (used to develop multilingual Notes/Domino NSF applications) and a multilingual Content Management system for the Websphere Application Server. David enjoys sharing his experience by speaking at conferences. You’ll find him at various events like the Unicode conference, Eclipsecon, and Lotusphere. He’s also passionate about building tools that help improve developer productivity and overall experience.

Posts from this devCenter

PixieDust: Magic for Your Python Notebook

Introducing a new open source helper library for Jupyter Python notebooks that improves data visualization & export, provides a package manager, and enables Scala context...

Predict Flight Delays with Apache Spark MLLib, FlightStats, and Weather Data

Build a Machine Learning model with Apache Spark MLLib to predict flight delays based on weather data and past performance.

Getting started with GraphFrames in Apache Spark

In this post, I'll show you how to create a graph composed of airports as the vertices and flight routes as the edges. I’ll then...

What I learned at PyCon and Spark Summit

A report from 2 important conferences covering the latest innovations in Apache Spark, Python, data analytics, and machine learning.

Analyze Market Trends in Twitter Using Apache Spark, Python, and dashDB

See how a simple Python notebook, used in combination with a dashDB data warehouse and Apache Spark, can provide valuable insights into large data problems.

Launch a Spark job using spark-submit

How to run Spark batch jobs programmatically. See examples in both Scala and Python that launch a Hello World Spark job via spark-submit.

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