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Revolutionising Businesses through AI with Khalifeh Al Jadda

Analytics Vidhya

Before “data science” glimmered, Khalifeh Al Jadda was wrangling web clusters in 2005. This interview unearths his journey from academia’s trenches to building cutting-edge AI at Google Ads and revolutionizing businesses through AI.

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Move to Online Dashboards – 6 Things to remember before you choose a tool!

Analytics Vidhya

Introduction “PowerPoint will die in the next 5 years” – just something I heard from a senior way back in 2005. 15 years on, The post Move to Online Dashboards – 6 Things to remember before you choose a tool! appeared first on Analytics Vidhya.

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VMware by Broadcom: The First 100 Days

CIO Business Intelligence

From September 2005 to January 2008, he served as chairman of the board of Integrated Device Technology. Prior to becoming chairman of IDT, Mr. Tan was the President and Chief Executive Officer of Integrated Circuit Systems from June 1999 to September 2005. He has held this position since March 2006.

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Announcing the DataOps Cookbook, Third Edition

DataKitchen

We had the same problem starting in 2005 when we left software development and started to lead data teams. Teams are shamed and blamed for problems they didn’t cause. They need help with existing complicated multi-step data systems that often fail and output insights no one trusts.

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I Am Done Using Visual Studio!

Paul Turley

Back in 2005, I used the Business Intelligence Development Studio (BIDS) Visual Studio add-in for SSIS, SSRS and SSAS projects to develop BI solutions with multidimensional cubes. for BI data model development. For several years, Visual Studio has been my go-to tool for designing semantic data models used for Business Intelligent reporting.

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SAP has a new succession plan

CIO Business Intelligence

Ala-Pietilä was President of Nokia from 1999 to 2005 and a member of SAP’s supervisory board between 2002 and 2021. With 67-year-old Ala-Pietilä, SAP believes it has found the right man. The Finn is “excellently positioned to support SAP’s continued successful transformation,” it said.

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Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

See the following code: //Example code in EMR Studio Workspace notebook to create an Iceberg table all_reviews_partitioned partitioned by product_category reviews_all.writeTo("demo.reviews.all_reviews_partitioned").tableProperty("format-version", tableProperty("format-version", "2").partitionedBy($"product_category").createOrReplace()

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