Spark+AI Summit Europe 2019: I'll be there!

I am glad I have been selected to speak at the next Spark+AI Summit Europe 2019, which will happen in Amsterdam, Netherlands on October 15th-17th 2019. I am going to present some follow-up of one of the core topics of my book: memory management in distributed Deep Learning with DL4J on Apache Spark. More details about my talk will follow in the next weeks.
As usual, the summit will have an impressive line-up of speakers, such as Matei Zaharia, Ali Ghodsi, Holden Karau, Luca Canali, Gael Varoquaux, Christopher Crosbie, Michael Armbrust and many others. I hope you will attend this event.

Comments

Exporting InfluxDB data to a CVS file

Sometimes you would need to export a sample of the data from an InfluxDB table to a CSV file (for example to allow a data scientist to do some offline analysis using a tool like Jupyter, Zeppelin or Spark Notebook). It is possible to perform this operation through the influx command line client. This is the general syntax: sudo /usr/bin/influx -database '<database_name>' -host '<hostname>' -username '<username>' -password '<password>' -execute 'select_statement' -format '<format>' > <file_path>/<file_name>.csv where the format could be csv , json or column . Example: sudo /usr/bin/influx -database 'telegraf' -host 'localhost' -username 'admin' -password '123456789' -execute 'select * from mem' -format 'csv' > /home/googlielmo/influxdb-export/mem-export.csv

jOOQ: code generation in Eclipse

jOOQ allows code generation from a database schema through ANT tasks, Maven and shell command tools. But if you're working with Eclipse it's easier to create a new Run Configuration to perform this operation. First of all you have to write the usual XML configuration file for the code generation starting from the database: <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <configuration xmlns="http://www.jooq.org/xsd/jooq-codegen-2.0.4.xsd"> <jdbc> <driver>oracle.jdbc.driver.OracleDriver</driver> <url>jdbc:oracle:thin:@dbhost:1700:DBSID</url> <user>DB_FTRS</user> <password>password</password> </jdbc> <generator> <name>org.jooq.util.DefaultGenerator</name> <database> <name>org.jooq.util.oracle.OracleDatabase</name> ...

Using Rapids cuDF in a Colab notebook

During last Spark+AI Summit Europe 2019 I had a chance to attend a talk from Miguel Martinez who was presenting Rapids , the new Open Source framework from NVIDIA for GPU accelerated end-to-end Data Science and Analytics. Fig. 1 - Overview of the Rapids eco-system Rapids is a suite of Open Source libraries: cuDF cuML cuGraph cuXFilter I enjoied the presentation and liked the idea of this initiative, so I wanted to start playing with the Rapids libraries in Python on Colab , starting from cuDF, but the first attempt came with an issue that I eventually solved. So in this post I am going to share how I fixed it, with the hope it would be useful to someone else running into the same blocker. I am assuming here you are already familiar with Google Colab. I am using Python 3.x as Python 2 isn't supported by Rapids. Once you have created a new notebook in Colab, you need to check if the runtime for it is set to use Python 3 and uses a GPU as hardware accelerator. You...

Googlielmo's blog

Search This Blog