AWS Big Data

SEPTEMBER 29, 2023

To analyze XML files stored in Amazon S3 using AWS Glue and Athena, we complete the following high-level steps: Create an AWS Glue crawler to extract XML metadata and create a table in the AWS Glue Data Catalog. We use the AWS Glue crawler to extract XML file metadata. We also use a custom XML classifier in this solution.

Metadata 65

Metadata Visualization Data-driven Optimization 65

Alation

JULY 7, 2022

In 2013 I joined American Family Insurance as a metadata analyst. I had always been fascinated by how people find, organize, and access information, so a metadata management role after school was a natural choice. The use cases for metadata are boundless, offering opportunities for innovation in every sector. The data scientist.

Metadata 52

Metadata Data-driven Insurance Statistics 52

O'Reilly on Data

JULY 25, 2023

To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022. This choice also inspired me to call my project Swift Papers.

Consulting 245

Consulting Interactive Software IT 245

AWS Big Data

AUGUST 28, 2023

An example is provided below ocsf-cuid-${/class_uid}-${/metadata/product/name}-${/class_name}-%{yyyy.MM.dd} Complete the following steps to install the index templates and dashboards for your data: Download the component_templates.zip and index_templates.zip files and unzip them on your local device. Set region as us-east-1.

Dashboards 52

Dashboards Visualization Metadata Management 52

Domino Data Lab

AUGUST 8, 2019

The gist is, leveraging metadata about research datasets, projects, publications, etc., Once upon a time, circa 2012-ish, data science conferences were replete with talks about an industry hellbent on loading amazing enormous Big Data into some kind of data lake, and applying all kinds of odd astrophysics-ish approaches…for eventual PROFIT!

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. You started to see point solutions.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

O'Reilly on Data

MAY 21, 2019

Consider deep learning, a specific form of machine learning that resurfaced in 2011/2012 due to record-setting models in speech and computer vision. Metadata and artifacts needed for audits. Use ML to unlock new data types—e.g., images, audio, video. Tackle completely new use cases and applications.

Machine Learning 234

Machine Learning Technology Deep Learning Data Science 234

Domino Data Lab

SEPTEMBER 9, 2019

Here’s an interactive visualization for understanding texts: scattertext , a product of the genius of Jason Kessler. Let’s analyze text data from the party conventions during the 2012 US Presidential elections. metadata=convention_df["speaker"]? ). category="democrat",?. width_in_pixels=1000,?.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110