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. 3 2006 7141922. 1 2008 7009728.

Snapshot 94

Snapshot Data Warehouse Machine Learning Cost-Benefit 94

Smart Data Collective

APRIL 8, 2020

Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘data warehouse’. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale. The post How Will The Cloud Impact Data Warehousing Technologies?

Technology 134

Technology Data Warehouse Big Data Machine Learning 134

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. Cloud gets introduced: Amazon AWS launched in public beta in 2006.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

JULY 11, 2022

Cloudera data fabric and analyst acclaim. Data fabrics are one of the more mature modern data architectures. Forrester Research identified the paradigm and coined the term in 2006. Since then, they have conducted regular market analyses and rankings of vendors.

Data Architecture 109

Data Architecture Data-driven Cost-Benefit Data Warehouse 109

BizAcuity

MAY 10, 2022

2006: Amazon spearheads the cloud initiative, drops EC2 and S3 into the market. 2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. Hadoop was developed in 2006. Fact: IBM built the world’s first data warehouse in the 1980’s.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Alation

DECEMBER 14, 2021

It’s only been 15 years since AWS took the first steps to the cloud with S3 and EC2, which launched in 2006. These included: Johnson & Johnson is migrating its entire enterprise data warehouse to the cloud to get better performance, reduced costs, and superior scalability. This concept has proven revolutionary.

Data Lake 52

Data Lake Data Warehouse Machine Learning Cost-Benefit 52

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. Roll the clock out.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109