Erik on Software

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data

A collection of 174 issues

Media Query Source: Part 37 - The Data Chief (ThoughtSpot podcast); My biggest data priority this year (2022)

Note: unfortunately for the first time, I withdrew my response from consideration after discussing further with the Deloitte communications team. As I explained to folks at The Data Chief, while my response was generic, some uncertainty had subsequently been introduced as to whether the details I shared were permissible, and

Media Query Source: Part 35 - CMSWire (US digital magazine); Synthetic data & its usage in the workplace

The responses I provided to a media outlet on February 9, 2022: Media: What is Synthetic data and does it have a digital workplace use? Gfesser: Synthetic data is a type of test data that is intended to reflect the statistical properties of real production data. Because of this, synthetic

Community Comment: Part 12 - Now that all companies are software companies, people who like data and use code are more common

The comments I provided in reaction to a community discussion thread. Chief Consulting Officer at Investment Management Firm: I've come to the conclusion that the working world is roughly split into two groups… 1. People who like pictures and use powerpoint 2. People who like numbers and use

Media Query Source: Part 34 - MSDynamicsWorld (US digital magazine); Azure Data Box is counterpart to AWS Snow product family

The responses I provided to a media outlet on January 27, 2022: Media: What are the biggest gaps in Data Box capabilities, if any? Gfesser: The Azure Data Box family of products is essentially used to get data into Azure, focusing on storage optimized hardware. In contrast, the AWS Snow

Community Comment: Part 11 - It's common for company stakeholders to trivialize data architecture, often due to lack of understanding

Community Comment: Part 10 - The difference between "none" and "N/A" (not applicable)

Community Comment: Part 9 - The "data is oil" expression is overused, but "sunshine" isn't a good "oil" substitute

The comments I provided in reaction to a community discussion thread. CEO of Insights & Data at Global Technology Consultancy: Data isn't oil. At least not anymore. Data is more like sunshine, abundant and unlimited in its potential. It has a positive impact on the environment. And critically,

Media Query Source: Part 33 - TechTarget (US digital magazine); Hadoop vs Spark: An an-depth big data framework comparison

* TechTarget (US digital magazine) * Apache Hadoop & Apache Spark * Overlap can exist between installations * Performance & use cases My responses ended up being included in an article at TechTarget (May 7, 2021). Extent of verbatim quote highlighted in orange, paraphrased quote highlighted in gray. Above image from cited article.

Community Comment: Part 8 - Data analysis isn't needed if the data is already understood

New Book Review: "Learning Spark (Second Edition)"

New book review for Learning Spark (Second Edition), by Jules S. Damji, Brooke Wenig, Tathagata Das, and Denny Lee, O'Reilly, 2020: Copy provided by Databricks at Spark + AI Summit 2020. The foreword and preface to this book comment that an update to the first edition, published in 2015,