Oracle JET, ORDS & OAUTH2
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Databases at CERN blog
SSO for Oracle REST DataServices
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Recently I've started to dig into the ORDS authentication and more specifically in how to make it work against my Oracle WebLogic server authenticators.
On Measuring Apache Spark Workload Metrics for Performance Troubleshooting
Luca Canali on
Topic: This post is about measuring Apache Spark workload metrics for performance investigations.
Performance comparison of different file formats and storage engines in the Hadoop ecosystem
TOPIC
This post reports performance tests for a few popular data formats and storage engines available in the Hadoop ecosystem: Apache Avro, Apache Parquet, Apache HBase and Apache Kudu. This exercise evaluates space efficiency, ingestion performance, analytic scans and random data lookup for a workload of interest at CERN Hadoop service.
INTRO
Distributed Deep Learning with Apache Spark and Keras
In the following blog posts we study the topic of Distributed Deep Learning, or rather, how to parallelize gradient descent using data parallel methods. We start by laying out the theory, while supplying you with some intuition into the techniques we applied. At the end of this blog post, we conduct some experiments to evaluate how different optimization schemes perform in identical situations.
Upgrading my Oracle JVM Diagnostics Agents.
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Starting up with the Oracle Java Cloud Services.
Emil Kleszcz on
Hello everyone,
In this entry I would like to share my experiences using Oracle Java Cloud Service, especially securing the application environment. I will show you some issues that I encountered during standard process of setting up environment. I will also explain some basic concepts that are fundamental to work with cloud services.
IPython/Jupyter SQL Magic Functions for PySpark
Luca Canali on
Topic: this post is about a simple implementation with examples of IPython custom magic functions for running SQL in Apache Spark using PyS
Darwin and Hadoop join forces to improve a face recognition algorithm
In this blog entry we introduce evolutionary algorithms and an integration between an evolutionary computation tool, ECJ, and Apache Hadoop. This research aims at speeding up the evaluation of solutions by distributing the workload among a cluster of machines. Finally, we make sense out of this integration showing how it has been used for improving a face recognition algorithm.
Testing a Small Query Language in Python with Hypothesis
Hypothesis is an implementation of Property-based testing for Python, similar to QuickCheck in Haskell/Erlang and test.check in Clojure (among others). Basically, it allows the programmer to formulate invariants about their programs, and have an automated system attempt to generate counter-examples that invalidates them.
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