Domino Data Lab

JULY 2, 2019

SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. See also: Caroline Lemieux’s slides for that NeurIPS talk, and Rohan Bavishi’s video from the RISE Summer Retreat 2019. Software writes Software? SQL and Spark.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Ontotext

JUNE 10, 2021

Relational databases benefit from decades of tweaks and optimizations to deliver performance. To handle such scenarios you need a transalytical graph database – a database engine that can deal with both frequent updates (OLTP workload) as well as with graph analytics (OLAP).

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

Jet Global

MAY 28, 2019

In the business landscape of 2019, data is the only currency that matters. Relational databases are incredibly useful for running a business, however, they are not optimized for getting information out. Now that you’re familiar with databases, let’s take a look at how they compare to their bigger, brawnier cousin—data warehouses.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

Jet Global

MAY 1, 2023

According to a 2019 ESG survey , developers were able to customize analytics based on what was best for the applications instead of making design choices to work with existing tools and were able to offer products that improved average selling price (ASP)and/or order value, which increased by as much as 25 percent.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52