A recent release of Oracle Cloud Infrastructure (OCI) Data Integration introduces the ability to publish a task to OCI Data Flow for execution. In this blog, we...
A recent release of Oracle Cloud Infrastructure (OCI) Data Integration introduces the ability to publish a task to OCI Data Flow for execution. In this blog, we discuss the benefits of publishing a task to OCI Data Flow and how to do it.
A recent release of Oracle Cloud Infrastructure (OCI) Data Integration introduces the ability to publish a task to OCI Data Flow for execution. In this blog, we discuss the benefits of publishing a...
This article has been deprecated as it is no longer valid for Oracle GoldenGate Microservices version 19.1, and above.
Co-Author: Saunnie Bell, Technical Manager, Oracle Consulting Content validated on 12/18/2020 with ODI Version 12.2.1.4.200304.2238 ADW Version Oracle...
Co-Author: Saunnie Bell, Technical Manager, Oracle Consulting Content validated on 12/18/2020 with ODI Version 12.2.1.4.200304.2238 ADW Version Oracle Database 19c Enterprise Edition Release - Production Version 19.5.0.0.0 Background This blog is part of a series covering topics on how to utilize Oracle Analytics / ETL / Data Integration tools to extract data from various data sources. Future blog topics will cover extracting from: Oracle SaaS Applications, Oracle...
Co-Author: Saunnie Bell, Technical Manager, Oracle Consulting Content validated on 12/18/2020 with ODI Version 12.2.1.4.200304.2238 ADW Version Oracle Database 19c Enterprise Edition Release -...
While exploring natural language processing (NLP) and various ways to classify text data, I wanted a way to test multiple classification algorithms and chains...
While exploring natural language processing (NLP) and various ways to classify text data, I wanted a way to test multiple classification algorithms and chains of data processing, and perform hyperparameter tuning on them, all at the same time. I ended up using Apache Spark with the CrossValidator and pipeline models. This article will detail the approach. Import statements. Nothing will be detailed here. These are just provided to make running this yourself simple. from...
While exploring natural language processing (NLP) and various ways to classify text data, I wanted a way to test multiple classification algorithms and chains of data processing, and perform...
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...
Content validated on 12/18/2020 with ODI Version 12.2.1.4.200304.2238 ATP Version Oracle Database 19c Enterprise Edition Release - Production Version...
Content validated on 12/18/2020 with ODI Version 12.2.1.4.200304.2238 ATP Version Oracle Database 19c Enterprise Edition Release - Production Version 19.5.0.0.0 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...
Content validated on 12/18/2020 with ODI Version 12.2.1.4.200304.2238 ATP Version Oracle Database 19c Enterprise Edition Release - Production Version 19.5.0.0.0 Background This blog walks though how...
Co-authors: Balaji Krishnan, Product Management Architect, Analytics Apps Ravi Guddanti, Principal Member of Technical Staff, Analytics Customer Excellence ...
Co-authors: Balaji Krishnan, Product Management Architect, Analytics Apps Ravi Guddanti, Principal Member of Technical Staff, Analytics Customer Excellence Background This blog is the third in a series covering topics on how to utilize Oracle ETL / Data Integration tools to extract data from various data sources. Future blog topics will cover extracting from: Oracle SaaS Applications, Oracle on-premise applications (e.g. EBS), and other Oracle applications such as Taleo,...
Co-authors: Balaji Krishnan, Product Management Architect, Analytics Apps Ravi Guddanti, Principal Member of Technical Staff, Analytics Customer Excellence Background This blog is the third in a...
Validated September 30, 2020 Introduction Oracle Analytics for Applications (FAW / OAX) is built on top of Oracle Analytics Cloud (OAC) and is powered by Oracle...
Validated September 30, 2020 Introduction Oracle Analytics for Applications (FAW / OAX) is built on top of Oracle Analytics Cloud (OAC) and is powered by Oracle Autonomous Data Warehouse (ADW). FAW extracts and loads data from your Oracle Fusion Applications Cloud into an instance of ADW and provides a semantic model with prebuilt KPIs, dashboards, and reports in OAC. The Oracle document here lists the currently regions available for provisioning. This post describes the OCI...
Validated September 30, 2020 Introduction Oracle Analytics for Applications (FAW / OAX) is built on top of Oracle Analytics Cloud (OAC) and is powered by Oracle Autonomous Data Warehouse (ADW). FAW...
Reading time: < 12 minutes Introduction Choosing your data preparation approach is a critical task that should not be missed during data migration. In...
Reading time: < 12 minutes Introduction Choosing your data preparation approach is a critical task that should not be missed during data migration. In continuation to my previous blog “Options for migrating clean data to Fusion Applications Cloud”, I would like to expand on the option of leveraging Oracle Enterprise Data Quality tool to analyze, standardize, cleanse, and de-duplicate your source data to cloud. Traditionally, most of the implementation projects will design the...
Reading time: < 12 minutes Introduction Choosing your data preparation approach is a critical task that should not be missed during data migration. In continuation to my previous blog “Options for...
