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Data and gen AI: Keys to Air Europa’s digital strategy

CIO Business Intelligence

In the era of gen AI Bermejo joined Air Europa in 2003, and since then, he’s held various positions of responsibility in the IT department until arriving at his current role in 2016. With this, he says, they intend for a large part of the staff to have advanced tools to optimize their daily tasks.

Strategy 115
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Materialized Views in Hive for Iceberg Table Format

Cloudera

Queries containing joins, filters, projections, group-by, or aggregations without group-by can be transparently rewritten by the Hive optimizer to use one or more eligible materialized views. Materialized views can be partitioned on one or more columns. This can potentially lead to orders of magnitude improvement in performance.

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Top DevOps Trends that Will Matter in 2020 For Your Business

Smart Data Collective

Furthermore, thanks to such benefits this field of development is growing very fastly and it’s critically important to optimize your product delivery and maintenance that can be done through implementing the most effective and the latest DevOps trends. DevOps managed services and assembly lines are the way of the future.

Software 120
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Simplify data ingestion from Amazon S3 to Amazon Redshift using auto-copy

AWS Big Data

All new sales transactions for 2003-01-01 are automatically ingested, which can be verified by running the following query: SELECT ss_sold_date_sk, count(1) FROM store_sales GROUP BY ss_sold_date_sk; Automate ingestion from multiple data sources We can also load an Amazon Redshift table from multiple data sources.

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Big Data Creates Massive Changes for the Game of Golf

Smart Data Collective

Since its conception, many individual athletes and teams have optimized their performances with the latest technology while enhancing entertainment value for fans. In 2003, a development that triggered the revolution of data happened when CDW partnered with PGA Tour with a ball-tracking system that is more advanced, known as ShotLink.

Big Data 111
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Multiplicity: Succeed Awesomely At Web Analytics 2.0!

Occam's Razor

My first eMetrics summit was June 2003 and as a young inexperienced person new in the field it was a great learning experience (eMetrics in Santa Barbara were the best!). The fact that to make optimal decisions on the web I was going to have to be comfortable with multiple sources of data, all valuable and all necessary to win.

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5 rules that transform outsourcing outcomes

CIO Business Intelligence

It is the product of nearly 20 years of research at the University of Tennessee, beginning with a deep-dive funded by the United States Air Force on outcome-based outsourcing in 2003.