AWS Big Data
APRIL 3, 2024
Many organizations already use AWS Glue Data Quality to define and enforce data quality rules on their data, validate data against predefined rules , track data quality metrics, and monitor data quality over time using artificial intelligence (AI). The metrics are saved in Amazon S3 to have a persistent output. onData(df).useRepository(metricsRepository).addCheck(
Cloudera
OCTOBER 8, 2021
When an Impala coordinator receives a query from the client, it parses the query, aligns table and column references in the query with data statistics contained in the schema catalog managed by the Impala Catalog server, and type checks and validates the query. . Impala Admission Control in Detail. Admission control is largely defined by .
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Cloudera
FEBRUARY 25, 2021
With almost all of the Fortune 500 and a majority of the Global 2000 relying on Cloudera for their most important data assets, Cloudera’s Machine Learning product (CML) is the way enterprises do ML. MLflow’s experiment tracking capabilities offer a low-friction way of tracking model hyperparameters and metrics across many experiments.
The Unofficial Google Data Science Blog
APRIL 23, 2024
the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.
Octopai
JANUARY 31, 2022
Maybe they have different definitions of conversions, which would certainly lead to metrics that don’t match up. Take a typical column of numerical data, starting with 5672, then 879, then 3427, and continuing for another 2000 fields. A high quality metadata catalog will have usage statistics: what is this data asset used for?
Corinium
APRIL 25, 2019
Life insurance needs accurate data on consumer health, age and other metrics of risk. For example auto insurance companies offering to capture real-time driving statistics from policy-holders’ cars to encourage and reward safe driving. And more recently, we have also seen innovation with IOT (Internet Of Things). This stuff works.
The Unofficial Google Data Science Blog
APRIL 16, 2019
Such decisions involve an actual hypothesis test on specific metrics (e.g. Often, an established product will have an overall evaluation criterion (OEC) that incorporates trade-offs among important metrics and between short- and long-term success. The metrics to measure the impact of the change might not yet be established.
Expert insights. Personalized for you.
89 
Let's personalize your content