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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 post How Will The Cloud Impact Data Warehousing Technologies?

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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. 3 2006 7141922. 1 2008 7009728.

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Beyond Data Fabrics: Cloudera Modern Data Architectures

Cloudera

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.

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Goodbye Oracle Discoverer, Hello Next-Generation Reporting

Jet Global

Because Discoverer has been non-strategic since 2006, it’s a challenge for IT to successfully write reports. While it has many advantages, it’s not built to be a transactional reporting tool for day-to-day ad hoc analysis or easy drilling into data details. IT skills are another concern. But does OBIEE stack up? Disadvantages of OBIEE.

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AWS re:Invent Recap: The Future of Cloud

Alation

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.

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

BizAcuity

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.

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Three Amazing Web Data Analyses Techniques For Analysis Ninjas

Occam's Razor

You'll use Excel or a simple database (or possibly the data warehouse versions of Omniture, CoreMetrics, WebTrends). <sidebar> In a post written in Nov 2006, I presented a similar thought (though in a different context than Thomas). <sidebar> Some of you might be excitedly yelling "Attribution!"