Sign up to receive the latest Insights posts in your inbox.

Subscribe
  • Technology

Bringing Linux back to the Server BIOS with LinuxBoot

The NERF and Heads projects bring Linux back to the cloud servers’ boot ROMs by replacing nearly all of the vendor firmware with a reproducible built Linux runtime that acts as a fast, flexible, and measured boot loader.

  • Data Science

The Future of Pandas

Architecture overview for the future of the Python Pandas data analytics library.

  • Data Science

BeakerX (for PyData NYC)

An overview of BeakerX, a collection of kernels and extensions to the Jupyter interactive computing platform.

  • Data Science
  • Markets & Economy

Forecasting Inflation like a Data Scientist

One way allocators can improve their inflation forecasts is to analyze it from as many perspectives as possible—just as a data scientist would.

  • Data Science

Introducing Pandas UDFs for PySpark

A Two Sigma researcher introduces the Pandas UDFs feature in the upcoming Apache Spark 2.3 release, which substantially improves the performance and usability of user-defined functions (UDFs) in Python.

  • Data Science

Responsive and Scalable Real-time Data Analytics

Designing a system that can extract immediate insights from large amounts of data in real-time requires a special way of thinking. This talk presents a “reactive” approach to designing real-time, responsive, and scalable data applications that can continuously compute analytics on-the-fly. It also highlights a case study as an example of reactive design in action.

  • Markets & Economy

The Commodity Futures Roll Return ‘Tax’: Addressing a Recent Headwind

The cost of rolling futures contracts, rather than the decline in commodity prices, has been the largest drag on commodity index performance over the past 10 years. Although difficult to implement, asset allocators’ best response may be to develop dynamic execution strategies to mitigate the roll return “tax.”