Topic: this post is about a simple implementation with examples of IPython custom magic functions for running SQL in Apache Spark using PyS
Blog
Blog
Benchmarking Apache Kafka on OpenStack VM's
I have been wanting to test Apache Kafka for sometime now and finally got around to it! In this blog post I give a very short introduction on what is Kafka, installation & configuration of Kafka cluster and finally benchmarking few near real-world scenarios on OpenStack VM's
Apache Spark 2.0 Performance Improvements Investigated With Flame Graphs
Topic: This post is about performance optimizations introduced in Apache Spark 2.0, in particular whole-stage code gen
Java web application based on OAuth2
Hello,
Last week I've investigated how does OAuth2 protocol works and developed a Proof of Concept (PoC) in Java. In this post I would like to show you how effortlessly develop simple client-server application using OAuth 2.0 standard for authorization of protected resources placed on a server.
Before we start developing our first secured web application with OAuth2 let's understand how it works.
What is it and how does it work?
A neural network scoring engine in PL/SQL for recognizing handwritten digits
Topic: In this post, you will find an example of how to build and deploy a basic artificial neural network scoring engine using PL/SQL.
IPython/Jupyter Notebooks for Oracle
Topic: In this short post you can find examples of how to use IPython/Jupyter notebooks for running SQL on Oracle.
Linux BPF/bcc for Oracle Tracing
Topic: In this post you will find a short discussion and pointers to the code of a few sample scripts that I have written using Linux BPF/bcc and uprobes for Orac
Integrating Hadoop and Elasticsearch – Part 2 – Writing to and Querying Elasticsearch from Apache Spark
Introduction
In the part 2 of 'Integrating Hadoop and Elasticsearch' blogpost series we look at bridging Apache Spark and Elasticsearch. I assume that you have access to Hadoop and Elasticsearch clusters and you are faced with the challenge of bridging these two distributed systems. As spark code can be written in scala, python and java, we look at the setup, configuration and code snippets across all these three languages both in batch and interactively.
IPython Notebooks for Querying Apache Impala
Topic: in this post you can find examples of how to get started with using IPython/Jupyter notebooks for querying Apache Impala.
PerfSheet.js: Oracle AWR Data Visualization in the Browser with JavaScript Pivot Charts
PerfSheet.js is a tool aimed at DBAs and Oracle performance analysts. It provides a simplified interface to extract and visualize AWR time series data in the browser using javascript.
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Disclaimer
The views expressed in this blog are those of the authors and cannot be regarded as representing CERN’s official position.
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Christian Antognini, Karl Arao, Martin Bach, Mark Bobak, Wolfgang Breitling, Doug Burns, Kevin Closson, Cloudera blog, Wim Coekaerts, Bertrand Drouvot, Enkitec blog, Pete Finnigan, Richard Foote, Randolf Geist, Marco Gralike, Brendan Gregg, Kyle Hailey, Tim Hall, Uwe Hesse, Frits Hoogland, Hortonworks blog, Integrity Oracle Security, Tom Kyte, Adam Leventhal, Jonathan Lewis, Cary Millsap, James Morle, Karen Morton, Arup Nanda, Mogens Nørgaard, Oracle The Data Warehouse insider, Oracle Enterprise Manager, Oracle Linux blog, Oracle Multitenant, Oracle Optimizer blog, Oracle R technologies, Oracle Upgrade blog, Oracle Virtualization blog, Kerry Osborne, Tanel Poder, Planet PostgreSQL, Kellyn Pot'Vin, Pythian blog, Greg Rahn, Mark Rittman, Riyaj Shamsudeen, Chen Shapira, Carlos Sierra, Szymon Skorupinski