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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

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 faster the data generation, the more handling it required.

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How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

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. Cloudera Machine Learning .

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Edmunds sets stage for AI with data infrastructure consolidation

CIO Business Intelligence

For a decade, Edmunds, an online resource for automotive inventory and information, has been struggling to consolidate its data infrastructure. Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core.

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What is enterprise architecture? A framework for transformation

CIO Business Intelligence

Goals of enterprise architecture EA is guided by the organization’s business requirements — it helps lay out how information, business, and technology flow together. Gartner: After acquiring The Meta Group in 2005, Gartner established best practices for EAP and adapted them into the company’s general consulting practices.

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Data Science, Past & Future

Domino Data Lab

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2005: Microsoft passes internal memo to find solutions that could let users access their services through the internet. 2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s. Google releases Kubernetes.