ODSC - Open Data Science

AUGUST 31, 2023

Visualization for Clustering Methods Clustering methods are a big part of data science, and here’s a primer on how you can visualize them. When choosing a data structure, it may benefit you to see which has all the components of the CAP theorem and which best suits your needs. Drowning in Data? Professor Mark A.

Clustering 98

Clustering Data Lakes Data Science Artificial Intelligence 98

ODSC - Open Data Science

MAY 24, 2023

Building a Business with a Real-Time Analytics Stack, Streaming ML Without a Data Lake, and Google’s PaLM 2 Building a Pizza Delivery Service with a Real-Time Analytics Stack The best businesses react quickly and with informed decisions. Here’s a use case of how you can use a real-time analytics stack to build a pizza delivery service.

Data Lakes 52

Data Lakes ML ML Analytics 52

ODSC - Open Data Science

JULY 11, 2023

What are the similarities and differences between data centers, data lake houses, and data lakes? Data centers, data lake houses, and data lakes are all related to data storage and management, but they have some key differences. Not a cloud computer?

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

IBM Journey to AI blog

JULY 1, 2024

If you say “manual stitching” among data professionals, everyone cringes and runs. In her book, Data lineage from a business perspective , Dr. Irina Steenbeek introduces the concept of descriptive lineage as “a method to record metadata-based data lineage manually in a repository.”

ETL 40

ETL Data Lakes Database Data Pipeline 40

O'Reilly Media

OCTOBER 19, 2021

Adapted from the book Effective Data Science Infrastructure. Data is at the core of any ML project, so data infrastructure is a foundational concern. ML use cases rarely dictate the master data management solution, so the ML stack needs to integrate with existing data warehouses.

ML 141

ML ML Data Scientist AWS 141

phData

NOVEMBER 9, 2023

A data warehouse is a centralized and structured storage system that enables organizations to efficiently store, manage, and analyze large volumes of data for business intelligence and reporting purposes. What is a Data Lake? What is the Difference Between a Data Lake and a Data Warehouse?

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

AWS Machine Learning Blog

AUGUST 15, 2024

You need data engineering expertise and time to develop the proper scripts and pipelines to wrangle, clean, and transform data. Afterward, you need to manage complex clusters to process and train your ML models over these large-scale datasets. He wrote a book on AWS FinOps, and enjoys reading and building solutions.

ML 117

ML ML Data Preparation AWS 117