AWS Big Data
NOVEMBER 17, 2023
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.
CIO Business Intelligence
FEBRUARY 24, 2023
“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.
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IBM Big Data Hub
JULY 6, 2023
” “Data science” was first used as an independent discipline in 2001. Some examples of data science use cases include: An international bank uses ML-powered credit risk models to deliver faster loans over a mobile app. Both data science and machine learning are used by data engineers and in almost every industry.
Jet Global
DECEMBER 23, 2020
On the way there, however, there is a great deal that business leaders can do to rein in costs, reduce risks, and increase the value that ultimately comes out of ERP system upgrades. When the company acquired Great Plains Software in 2001, it took ownership of two widely used ERP products – Great Plains and Solomon.
O'Reilly on Data
MAY 27, 2020
Under school district policy, each of Audrey’s eleven- and twelve-year old students is tested at least three times a year to determine his or her Lexile, a number between 200 and 1,700 that reflects how well the student can read. They test each student’s grasp of a particular sentence or paragraph—but not of a whole story.
Domino Data Lab
APRIL 3, 2019
Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for My read of that narrative arc is that some truly weird tensions showed up circa 2001: Arguably, it’s the heyday of DW+BI. A very big mess since circa 2001, and now becoming quite a dangerous mess. a second priority?at
The Unofficial Google Data Science Blog
JUNE 30, 2016
A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means. Random forest with default R tuning parameters (Breiman, 2001). Although it may seem sensible at first, this solution can be wrong if the data suffer from selection bias.
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