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How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)

IBM Big Data Hub

This allows data that exists in cloud object storage to be easily combined with existing data warehouse data without data movement. The advantage to NPS clients is that they can store infrequently used data in a cost-effective manner without having to move that data into a physical data warehouse table.

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Q&A with Greg Rahn – The changing Data Warehouse market

Cloudera

After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer. I spent eight years in the real-world performance group where I specialized in high visibility and high impact data warehousing competes and benchmarks.

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Will 2018 See More BusinessObjects in the Cloud?

Paul Blogs on BI

Many BusinessObjects customers are not waiting and have already moved their BO deployment into the cloud and many more are planning to do so in 2018. At IBIS 2018 , there will be some good sessions discussing this topic including a case study based on both how InfoSol has done this in-house as well as for other organizations.

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Beyond Data Fabrics: Cloudera Modern Data Architectures

Cloudera

The need for data fabric. As Cloudera CMO David Moxey outlined in his blog , we live in a hybrid data world. Data is growing and continues to accelerate its growth. Their most recent evaluation, Forrester Wave : Enterprise Data Fabric, Q2 2022, came out on June 23, 2022 and ranked Cloudera as a strong performer.

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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data. Only three years later, that number more than tripled to 59% in 2018. Written by Steve Wooledge, VP Marketing at Arcadia Data.

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Take Your SQL Skills To The Next Level With These Popular SQL Books

datapine

Originally published in 2018, the book has a second edition that was released in January of 2022. The new version includes details on the latest SQL features such as techniques for wrangling data, as well as two new chapters, one dedicated to setting up your own system, and another for using PostgreSQL and JSON. Viescas, Douglas J.

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Data Governance and Metadata Management: You Can’t Have One Without the Other

erwin

The 2020 State of Data Governance and Automation (DGA) shows that attitudes about data governance and the drivers behind it are changing – arguably for the better. Regulatory compliance was the biggest driver for data governance implementation, according to the 2018 report.

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