Cloudera

AUGUST 8, 2022

The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Cloudera Data Engineering (Spark 3) with Airflow enabled. 8 2001 5967780. 1 2008 7009728.

Snapshot 87

Snapshot Data Warehouse Machine Learning Cost-Benefit 87

Alation

MARCH 29, 2022

This led to the birth of separate systems for reporting: the enterprise data warehouse. For the first time, the focus of a system became business questions, where data was denormalized. The impact on the performance of transactional applications at the time due to the number of reports being created.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96

Jet Global

DECEMBER 23, 2020

When the company acquired Great Plains Software in 2001, it took ownership of two widely used ERP products – Great Plains and Solomon. If you have made customizations or modifications that extend the existing data in your legacy ERP system, an off-the-shelf automated approach to migration may not work very well.

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Recreation/Entertainment 52

IBM Big Data Hub

JULY 6, 2023

Data from various sources, collected in different forms, require data entry and compilation. That can be made easier today with virtual data warehouses that have a centralized platform where data from different sources can be stored. One challenge in applying data science is to identify pertinent business issues.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Domino Data Lab

APRIL 3, 2019

Most of the data management moved to back-end servers, e.g., databases. So we had three tiers providing a separation of concerns: presentation, logic, data. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. Sorry, there is no data in agile. Disconnects, in a nutshell.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

JULY 22, 2019

The data governance, however, is still pretty much over on the data warehouse. Toward the end of the 2000s is when you first started getting teams and industry, as Josh Willis was showing really brilliantly last night, you first started getting some teams identified as “data science” teams. All righty.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Occam's Razor

APRIL 25, 2011

When a majority of your budget is invested in tools and data warehouses, rather than smart people to use them, you are saying you prefer to suck. Your website was created in 1996, updated slightly in 2001, and left to rot ever since. You will almost die of happiness when the results come in. " 19.

Marketing 126

Marketing Measurement Metrics Testing 126