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Geospatial Data Engineering: Spatial Indexing

Towards Data Science

How can you make datasets with hundreds of millions of rows aggregate or join faster? Here is a runtime comparison of the two methods over 100 runs of the intersection operation (note: because the default intersection function is slow, I only selected around 100 geometries from the original dataset): ?

Data 98
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Vetted lands $15M for AI that helps shoppers find top products and deals

TechCrunch

There’s plenty of product comparison tools out there, like PayPal-owned Honey and Paribus (now Capital One Shopping). We then analyze the users’ sentiment towards them and use vectorization techniques to group together similar products to do further analysis,” Kearney said. Image Credits: Vetted.

Product 97
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With open banking on the horizon, the fintech-SME love story is just beginning

TechCrunch

banking industry can be convinced of the utility of open banking, or if it is forced to do so via legislation, several groups are likely to benefit: Consumers will be offered novel banking and investment products based on far more detailed data analysis than exists at present. If the U.S. SMEs are underserved in a number of ways.

Open 136
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Preference learning with automated feedback for cache eviction

Google Research AI blog

The reward model is a lightweight neural network that is continuously trained with ongoing automated feedback on preference comparisons designed to mimic the offline oracle. The labels for these pending comparisons can only be resolved at a random future time. Overview of all main components in HALP.

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How to Spot Misleading Charts, a Checklist

Tableau

When communicating with data, viewing a chart instead of a table of numbers can help us very quickly understand our data, make comparisons, see patterns or trends, and use that information to make better decisions. Two separate graphs vertically aligned allows the reader to make accurate comparisons between Fatalities and Miles per capita.

Chart 121
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Comparing Performance of Big Data File Formats: A Practical Guide

Towards Data Science

Next up, we’ll run an aggregation query on our Parquet data. Perfom aggregation query using Parquet data start_time = time.time() df_parquet = spark.read.parquet("s3a://mybucket/ten_million_parquet2.parquet") Next, we’ll test how ORC handles an aggregation query. So, don’t sweat it if your time is different.

Files 97
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Liberating Nonprofit Data for Greater Impact

Beth's Blog: How Nonprofits Can Use Social Media

The sector deserves comprehensive and computable data that can be openly aggregated, searched, checked, and analyzed. They’ve had to do this conversion because there has been no comprehensive set of open data about the nonprofit sector available to them or the many others who would take advantage of it.

Impact 106