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The history of ESG: A journey towards sustainable investing

IBM Big Data Hub

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

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Here’s How Data Analytics In Sports Is Changing The Game

Smart Data Collective

Increasingly, soccer teams look at stats such as expected goals (Xg) as a key metric to understand underlying performance levels other than the actual scoreline. Oakland Athletics become famous in the 2002 season for a 20-game winning streak. These indicators may include the player’s sprint speed or distance covered per goal.

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Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

AWS Big Data

Each snapshot is a complete set of data files in the table at a point in time. Data files in snapshots are stored in one or more manifest files that contain a row for each data file in the table, its partition data, and its metrics. The data folder is created when you load data into the Iceberg table.

Snapshot 114
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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

ans from Nick Elprin, CEO and co-founder of Domino Data Lab, about the importance of model-driven business: “Being data-driven is like navigating by watching the rearview mirror. If your business is using big data and putting dashboards in front of analysts, you’re missing the point.”. Worse than flipping a coin!

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Unintentional data

The Unofficial Google Data Science Blog

There is no longer always intentionality behind the act of data collection — data are not collected in response to a hypothesis about the world, but for the same reason George Mallory climbed Everest: because it’s there. Of course, exploratory analysis of big unintentional data puts us squarely at risk for these types of mistakes.