Introduction This post will compare vectorizing word data using term frequency-inverse document frequency (TF-IDF) in several python implementations. TF-IDF is...
Introduction This post will compare vectorizing word data using term frequency-inverse document frequency (TF-IDF) in several python implementations. TF-IDF is used in the natural language processing (NLP) area of artificial intelligence to determine the importance of words in a document and collection of documents, A.K.A. corpus. Various implementations of TF-IDF were tested in python to gauge how they would perform against a large set of data. Tested were sklearn, gensim...
Introduction This post will compare vectorizing word data using term frequency-inverse document frequency (TF-IDF) in several python implementations. TF-IDF is used in the natural language processing...
Last Validation: September 3, 2020 with OAC105.7 Introduction This post details the steps required to use an advanced JDBC driver in Remote Data Gateway (RDG)...
Last Validation: September 3, 2020 with OAC105.7 Introduction This post details the steps required to use an advanced JDBC driver in Remote Data Gateway (RDG) to support private Autonomous Database (ADB) data connections in an Oracle Analytics Cloud (OAC) RPD. ADB refers to both Autonomous Data Warehouse and Autonomous Transaction Processing databases. It supplements the post on Connecting an Oracle Analytics Cloud RPD to Private Autonomous Databases For additional details on...
Last Validation: September 3, 2020 with OAC105.7 Introduction This post details the steps required to use an advanced JDBC driver in Remote Data Gateway (RDG) to support private Autonomous Database...
Introduction In the course of prepping some data for a machine learning activity using natural language processing (NLP), several methods were used to compare...
Introduction In the course of prepping some data for a machine learning activity using natural language processing (NLP), several methods were used to compare the performance and volume of data that could be efficiently processed. This post will show the performance of cleaning a small set, and a larger set of data. All examples are in python, and compare the use of Pandas dataframes, Dask dataframes, and Apache Spark (pyspark). Test environments The small dataset was...
Introduction In the course of prepping some data for a machine learning activity using natural language processing (NLP), several methods were used to compare the performance and volume of data that...
Last Validation: August 31, 2020 for OAC 105.7 Introduction This post details the steps required to connect Oracle Analytics Cloud (OAC) to a private Essbase...
Last Validation: August 31, 2020 for OAC 105.7 Introduction This post details the steps required to connect Oracle Analytics Cloud (OAC) to a private Essbase 19c Marketplace instance in Oracle Cloud Infrastructure (OCI) using a public load balancer. Both Data Visualization (DV) and RPD connections are described. This method bypasses the need for Remote Data Gateway (RDG) or Remote Data Connector (RDC). Note: This is an exception to the rule that OAC connections to private...
Last Validation: August 31, 2020 for OAC 105.7 Introduction This post details the steps required to connect Oracle Analytics Cloud (OAC) to a private Essbase 19c Marketplace instance in Oracle Cloud...
Last Validation: August 6, 2020 with OAC 5.7 Introduction This post details the steps required to create Autonomous Database on Dedicated Exadata Infrastructure...
Last Validation: August 6, 2020 with OAC 5.7 Introduction This post details the steps required to create Autonomous Database on Dedicated Exadata Infrastructure (ADB-D) connections in an Oracle Analytics Cloud RPD. ADB refers to both Autonomous Data Warehouse and Autonomous Transaction Processing databases. For additional details on ADB-D, visit Using Oracle Autonomous Data Warehouse on Dedicated Exadata Infrastructure. For additional details on OAC, visit the Analytics Cloud...
Last Validation: August 6, 2020 with OAC 5.7 Introduction This post details the steps required to create Autonomous Database on Dedicated Exadata Infrastructure (ADB-D) connections in an Oracle...
Last Validation: August 5, 2020 for OAC 105.7 Introduction This post details the steps required to create data connections in Oracle Analytics Cloud (OAC) for...
Last Validation: August 5, 2020 for OAC 105.7 Introduction This post details the steps required to create data connections in Oracle Analytics Cloud (OAC) for Autonomous Database on Dedicated Exadata Infrastructure (ADB-D). Data connections are used for Data Visualization (DV) data sets. Note: at this time ADB-D may not be used with OAC console or replication connections. ADB refers to both Autonomous Data Warehouse and Autonomous Transaction Processing databases. ADB-D runs...
Last Validation: August 5, 2020 for OAC 105.7 Introduction This post details the steps required to create data connections in Oracle Analytics Cloud (OAC) for Autonomous Database on Dedicated Exadata...
This is the seventh in a series of blogs describing how one would go about modeling an enterprise ontology. In my last two blogs I showed how one could...
This is the seventh in a series of blogs describing how one would go about modeling an enterprise ontology. In my last two blogs I showed how one could relatively easily create an informal taxonomy and add facets to it. In this blog we show how to model a formal taxonomy using the gist upper-level ontology to bootstrap our micro-pattern. From the gist definition of taxonomy we have the following: gist:taxonomy: A controlled vocabulary arranged as a hierarchy of concepts....
This is the seventh in a series of blogs describing how one would go about modeling an enterprise ontology. In my last two blogs I showed how one could relatively easily create an informal...
Background This blog walks though how to configure Oracle Data Integrator (ODI) on Oracle Cloud Marketplace Agents in High Availability (HA) Mode with the...
Background This blog walks though how to configure Oracle Data Integrator (ODI) on Oracle Cloud Marketplace Agents in High Availability (HA) Mode with the Autonomous Transaction Processing (ATP) Database to hold the ODI repository. To allow for a true application HA, the agents configured throughout this blog will be J2EE agents deployed in a WebLogic domain cluster of managed servers . For a reminder on the different types of agents that can be configure with ODI, please...
Background This blog walks though how to configure Oracle Data Integrator (ODI) on Oracle Cloud Marketplace Agents in High Availability (HA) Mode with the Autonomous Transaction Processing (ATP)...
This is the sixth in a series of blogs describing how one would go about modeling an enterprise ontology. In my last post I showed how one would create an...
This is the sixth in a series of blogs describing how one would go about modeling an enterprise ontology. In my last post I showed how one would create an informal taxonomy using the gist upper-level ontology. To keep the previous blog from becoming hideously complex, I chose to not document any facets there. However, facets are something that are clearly needed if your informal taxonomy is to have any value in the real-world. To that end, I am building upon the previous...
This is the sixth in a series of blogs describing how one would go about modeling an enterprise ontology. In my last post I showed how one would create an informal taxonomy using the gist...
