How to Manage Automatic Data Optimization (ADO)

In this last posting on Automatic Data Optimization, we will look at issues related to monitoring and managing Automatic Data Optimization (ADO).  Displaying Automatic Data Optimization (ADO) Policies Several dictionary views are available to verify configured policies. DBA_ILMPOLICIES provides the list of all policies and their respective ENABLED status:The DBA_ILMDATAMOVEMENTPOLICIES view contains information specific to data […]
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10 Rules for Creating Reproducible Results in Data Science

In recent years evidence has been mounting that points to a crisis in the reproducible results of scientific research. Reviews of papers in the fields of psychology and cancer biology found that only 40% and 10%, respectively, of the results, could be reproduced. Nature published the results of a survey of researchers in 2016 that […]
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Machine Learning using Spark and R

R is ubiquitous in the data science community. Its ecosystem of more than 8,000 packages makes it the Swiss Army knife of modeling applications. Similarly, Apache Spark has rapidly become the big data platform of choice for data scientists. Its ability to perform calculations relatively quickly (due to features like in-memory caching) makes it ideal […]
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Guide to Creating Automatic Data Optimization (ADO) Policies

Defining Automatic Data Optimization (ADO) Policies In the previous posting, we discussed enabling Heat Map. The next step is to create the ADO policies. The policies: Define WHICH condition fires an action; for example: Low data access No access No data modification (updates/deletes/inserts on row or DDL ALTER statement on a segment) Object/row creation Define […]
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Assumptions Can Ruin Your K-Means Clusters

Clustering is one of the most powerful and widely used of the machine learning techniques. It’s very seductive. Throw some data into the algorithm and let it discover hitherto unknown relationships and patterns. K-means is the most popular of all the cluster algorithms. It’s easy to understand—and therefore implement—so it’s available in almost all analysis […]
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