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Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

In our testing, the dataset was stored in Amazon S3 in non-compressed Parquet format and the AWS Glue Data Catalog was used to store metadata for databases and tables. Testing on the TPC-DS benchmark showed an 11% improvement in overall query performance when using CBO compared to without it.

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Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

AWS Big Data

Run the job again to add orders 2001 and 2002, and update orders 1001, 1002, and 1003. Run the job again to add order 3001 and update orders 1001, 1003, 2001, and 2002. When the function is complete, you will see the message “Executing function: succeeded.”

Snapshot 110
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How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

8 2001 5967780. To build an open lakehouse on your own try Cloudera Data Warehouse (CDW), Cloudera Data Engineering (CDE), and Cloudera Machine Learning (CML) by signing up for a 60-day trial , or test drive CDP. 1 2008 7009728. 2 2007 7453215. 3 2006 7141922. 4 2005 7140596. 5 2004 7129270. 6 2003 6488540. 7 2002 5271359.

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What Executives Should Know About Shift-Left Security

CIO Business Intelligence

“Shift-left security” is the concept that security measures, focus areas, and implications should occur further to the left—or earlier—in the lifecycle than the typical phases that used to be entry points for security testing and protections. Shift-left security spawned from a broader area of focus known as shift-left testing.

Testing 52
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Huawei’s 20-year journey in Malaysia

CIO Business Intelligence

Huawei’s foray into the country began in 2001. In December 2021, Tan Sri Annuar Musa, Minister of Communications and Multimedia Malaysia, launched the 5G Cyber Security Test Lab or My5G at CyberSecurity Malaysia. Huawei will fully support CyberSecurity Malaysia, helping establish My5Gas as a regional cyber security test center.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

The problem with this approach is that in highly imbalanced sets it can easily lead to a situation where most of the data has to be discarded, and it has been firmly established that when it comes to machine learning data should not be easily thrown out (Banko and Brill, 2001; Halevy et al., Their tests are performed using C4.5-generated

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

” “Data science” was first used as an independent discipline in 2001. In 1950, data scientist Alan Turing proposed what we now call the Turing Test , which asked the question, “Can machines think?” Both data science and machine learning are used by data engineers and in almost every industry.