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Data Quality in Data Science
January 10, 2022 Noam Cohen Data Quality

Data Quality - An Interview With a Data Science Expert

When it comes to data science, machine learning, and artificial intelligence, the consensus is that good data is essential. When it comes to training models, you

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Top External Data Trends for 2022
December 22, 2021 Stephanie Casola Data Science

The Top External Data Trends to Look out for in 2022

2021 was an exciting year for Explorium. We raised our series C round of funding in May,  were named a Cool vendor by Gartner, launched two

External Data
August 9, 2021 Data Acquisition

10 Questions to Ask Before Buying External Data

The value of external data might be apparent, but are you ready to purchase it?  Data is the key to solving analytical problems. Just as organizations

data marketplaces
July 7, 2021 Stephanie Casola Data Acquisition

Data Marketplaces vs. External Data Platforms

Data marketplaces provide access to data from a variety of different sources and providers. This article will go over some of the benefits and limitations of

Debugging PySpark
May 4, 2021 Ron Flomin Data Science

Debugging PySpark with PyCharm and AWS EMR

Have you ever found yourself developing PySpark inside EMR notebooks? Have you ever found yourself debugging PySpark locally, but wanting to run it over a real

April 12, 2021 Raz Oliar, CISM and CISO of Explorium Security & Privacy

Building Trust with Data Security - Why Explorium got ISO/IEC 27701 certification

Few types of regulation have ever proved to be as far-reaching or game-changing as GDPR. Pretty much any organization in the world with an online presence

external data enrichment
April 12, 2021 Anton Peniaziev Data Science

Benchmarking SQL engines for Data Serving: PrestoDb, Trino, and Redshift

In the business of external data enrichment for data science, the main focus is on the ability to provide a fast and scalable way to aggregate, join and

Predictive Model Deployment
January 25, 2021 Joseph Sibony AI Education

A Brief Introduction to Predictive Model Deployment

You’ve built your model, you’ve located your data sources, and you’ve done all the initial processing and ETL to get your data how you want it.

What is Feature Enginering
January 4, 2021 Joseph Sibony Data Science

What is Feature Engineering?

Your data is teeming with potential insights, ready to be teased out by predictive models. But doing that isn’t only about knowing what questions to ask

Categories
  • All posts
  • AI Education
  • AI for FinTech
  • AI in the news
  • Automation
  • Business Intelligence
  • Consumer Goods
  • Data Acquisition
  • Data Architecture
  • Data Enrichment
  • Data Quality
  • Data Science
  • Digital Marketing
  • Explainability
  • External Data
  • External Data for eCommerce
  • External Data Orchestration
  • Feature Engineering
  • Feature Selection
  • General
  • Interpretability
  • Machine Learning
  • Predictive Models
  • Security & Privacy
  • Tutorials
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