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Emrah Mete

Cloud Solution Engineer | Data Solutions Architect | Big Data and Machine Learning Engineer

Istanbul, TR

Joined May 2017

https://www.linkedin.com/in/emrah-mete-a466b223

About

Views expressed are my own | ML & AI Enthusiast | Big Data Expert | Data Engineer | Deep Learner | Blogger | Speaker | Computer Engineer | twitter:@emrahmete

Stats

Reputation: 1279
Pageviews: 629.8K
Articles: 22
Comments: 4
  • Articles
  • Comments

Articles

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Interaction With Autonomous Database via Docker Container
In this article, I will show you to access the Autonomous Database service, one of the database services offered on Oracle Cloud infrastructure, through a Docker image.
June 12, 2021
· 12,262 Views · 3 Likes
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Classification With XGBoost Algorithm in a Database
Oracle 21c features support for the hot new ML algorithm on the block.
January 3, 2021
· 4,911 Views · 4 Likes
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Configuring Git on Oracle Data Science Cloud Service
In this article, we will establish a connection between Oracle Data Science Cloud Service and our remote Git repository.
April 7, 2020
· 12,572 Views · 5 Likes
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Serverless Apache Spark: Data Flow Cloud Service
Oracle recently introduced the serverless Spark Execution Engine, which allows users to now quickly spin up and deploy their Spark applications.
April 6, 2020
· 13,390 Views · 2 Likes
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Connecting an Autonomous Data Warehouse With Python
In this article, take a look at how to connect an autonomous data warehouse with Python and see a machine learning example.
January 10, 2020
· 9,554 Views · 4 Likes
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Developing a Deep Learning Model With SQL in Oracle Database: Predicting Boston House Prices
Learn how to develop a deep learning model with SQL in Oracle.
Updated November 4, 2019
· 9,608 Views · 5 Likes
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Example of ETL Application Using Apache Spark and Hive
In this article, we'll read a sample data set with Spark on HDFS (Hadoop File System), do a simple analytical operation, then write to a table that we'll make in Hive.
April 24, 2019
· 36,551 Views · 4 Likes
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Database Operations on Cassandra and Oracle Using Apache Spark
The rapid growth of data sources and data volumes has made it difficult to process for collected data. Spark and Cassandra together can help.
January 28, 2019
· 10,604 Views · 5 Likes
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Simple Sentiment Analysis With NLP
Look at a simple application of sentiment analysis using Natural Language Processing techniques.
December 4, 2018
· 22,343 Views · 7 Likes
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Building a Regression Model Using Oracle Data Mining
In this post, we look at how to use SQL and Oracle data mining techniques to better work with the big sets coming into our databases.
October 4, 2018
· 12,063 Views · 7 Likes
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A Comparison of JSON Values in a Database
In this article, I will talk about some of the new SQL functions that come with Oracle 18c and look at what we can do by trying a few different scenarios.
Updated September 5, 2018
· 15,418 Views · 3 Likes
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Defining Identity Columns in Oracle
In this article, I deeply analyze the identity column, which is one of the new characteristics that have come with Oracle DB 12c R1, and its features.
April 19, 2018
· 9,700 Views · 2 Likes
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Implementing Temporal Validity in Oracle
With temporal validity, we can query our data however we want. We can even pull the data and join it with other tables.
April 11, 2018
· 6,181 Views · 5 Likes
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Hashing With SHA-256 in Oracle 11g R2
Want to bring the SHA-256 Hashing algorithm to Oracle 11g R2? Here is how to implement a hashing method that isn't natively supported by the database.
February 14, 2018
· 48,793 Views · 6 Likes
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Simulation of Gambler's Ruin (Random Walk) With R
In this article, I will simulate the Gambler's Ruin problem with R with different settings and examine how the game results change with these different settings.
February 8, 2018
· 10,971 Views · 6 Likes
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Reading Data From Oracle Database With Apache Spark
In this quick tutorial, learn how to use Apache Spark to read and use the RDBMS directly without having to go into the HDFS and store it there.
Updated February 1, 2018
· 144,344 Views · 12 Likes
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Data Profiling With Oracle Data Mining
Data profiling is an important step to take before processing data. Learn how to do it with Oracle Data Mining, which is easily implemented in Oracle SQL Developer.
January 11, 2018
· 9,434 Views · 5 Likes
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Data Encryption and Decryption With Oracle
DBMS_CRYPTO is an awesome package offered by Oracle for data encryption support. Check out its features, what it supports, how to use it, and more!
September 19, 2017
· 67,895 Views · 3 Likes
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Solving a Clustering Problem Using the k-Means Algorithm With Oracle
Clustering algorithms let machines group data points or items into groups with similar characteristics. See how to use the k-means algorithm with Oracle to do clustering.
August 15, 2017
· 12,678 Views · 7 Likes
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Oracle SQL Developer: Scratch Editor
Learn how to use the Scratch Editor module in Oracle SQL Developer, which helps translate code written in non-Oracle systems.
May 17, 2017
· 7,217 Views · 8 Likes
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The Oracle Validate_Conversion Function
This feature reduces the complexity of the code that we write for data validation in SQL and PL/SQL code blocks and improves application performance.
May 16, 2017
· 9,443 Views · 7 Likes
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Connecting to Teradata Database With LDAP Using Oracle SQL Developer
With Oracle SQL Developer, it's possible to connect to many databases with JDBC driver. Learn how to connect to a Teradata database configured with LDAP Authentication.
May 12, 2017
· 18,440 Views · 6 Likes

Comments

Developing a Deep Learning Model With SQL in Oracle Database: Predicting Boston House Prices

Nov 06, 2019 · Emrah Mete

Oracle Database have supported Machine Learning algorithims for many years. This functions group called Oracle Advanced Analytics Option. I wrote some different topic like this article. You can look that as follows.


https://dzone.com/articles/building-regression-model-using-oracle-data-mining

https://dzone.com/articles/data-profiling-with-oracle-data-mining

https://dzone.com/articles/market-basket-analysis-using-oracle-data-mining

https://dzone.com/articles/solving-a-classification-problem-using-the-decisio

https://dzone.com/articles/solving-the-clustering-problem-with-oracle-data-mi

Thanks for your feed back.

Developing a Deep Learning Model With SQL in Oracle Database: Predicting Boston House Prices

Nov 06, 2019 · Emrah Mete

Thank you Robert.

Reading Data From Oracle Database With Apache Spark

Apr 10, 2018 · Emrah Mete

Hi Thomas,

Thank you so much for your comments.

I will take care this issue that you report.

Reading Data From Oracle Database With Apache Spark

Feb 02, 2018 · Emrah Mete

Hi,

First of all thank you so much for your interest.

This is the very good utility if you want to precess RDBMS data in the big data environment. This technique provides that move the relational data from database to Apache Spark fastly. If you use the Apache Spark for data processing, you can use this method when you want to use RDBMS data quickly. It is very straightforward and useful.

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