datapine

SEPTEMBER 27, 2022

17) “SQL Database Programming” (2015 Edition) By Chris Fehily. The all-encompassing nature of this book makes it a must for a data bookshelf. 18) “The Data Warehouse Toolkit” By Ralph Kimball and Margy Ross. It is a must-read for understanding data warehouse design. Viescas, Douglas J. Steele, and Ben J.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

AWS Big Data

FEBRUARY 1, 2023

Clients access this data store with an API’s. Amazon S3 as data lake For better data quality, we extracted the enriched data into another S3 bucket with the same AWS Glue job. Information in the Data Catalog is stored as metadata tables, where each table specifies a single data store.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Domino Data Lab

FEBRUARY 4, 2019

In my experience, hyper-specialization tends to seep into larger organizations in a special way… If a company is say, more than 10 years old, they probably began analytics work with a business intelligence team using a data warehouse. First, aspiring data scientists would do well to read up on media studies. Friction ensued.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Alation

FEBRUARY 20, 2020

In 2016, people will realize the importance of scaling the generation of insights in parallel with the data – and finally have the ability to manage sprawl and realize new levels of insights from the data. 2016 will be the year of the “logical data warehouse.” Subscribe to Alation's Blog.

Data Warehouse 52

Data Warehouse Visualization Enterprise Data Science 52