Azure Data Explorer and Parquet files in the Azure Blob Storage

Last summer Microsoft has rebranded the Azure Kusto Query engine as Azure Data Explorer. While it does not support fully elastic scaling, it at least allows to scale up and out a cluster via an API or the Azure portal to adapt to different workloads. It also offers parquet support out of the box which made me spend some time to look into it.
#python #pydata #azure #parquet

Peter Hoffmann Peter Hoffmann

Understand predicate pushdown on row group level in Parquet with pyarrow and python

Apache Parquet is a columnar file format to work with gigabytes of data. Reading and writing parquet files is efficiently exposed to python with pyarrow. Additional statistics allow clients to use predicate pushdown to only read subsets of data to reduce I/O. Organizing data by column allows for better compression, as data is more homogeneous. Better compression also reduces the bandwidth required to read the input.
#python #pydata #parquet #arrow #pandas

Peter Hoffmann Peter Hoffmann

Azure Data Lake Storage Gen 2 with Python

Microsoft has released a beta version of the python client azure-storage-file-datalake for the Azure Data Lake Storage Gen 2 service with support for hierarchical namespaces.
#python #pydata

Peter Hoffmann Peter Hoffmann

Karlsruhe Python Meetup at Blue Yonder

Python Meetup with two talks about python usage in a data science environment and the different stages of a python package in this environment.
#python #meetup #conference

Peter Hoffmann Peter Hoffmann

Rust Meetup at Blue Yonder

Rust Meetup in the new Blue Yonder office in Hamburg
#rust #meetup #conference

Peter Hoffmann Peter Hoffmann

JDA ICON - Enabler of AI - Overview of an AI Architecture

JDA ICON 2019 was all about technology, APIs, AI (Artificial Intelligence) and ML (Machine Learning).
#python #talk

Peter Hoffmann Peter Hoffmann

Exasol User Group Karlsruhe

Exasol on Microsoft Azure – automatic deployment in less than 30 minutes
#exasol #azure #pydata #talk

Peter Hoffmann Peter Hoffmann

PyCon.DE 2018

PyCon.DE 2018 is over. Second time in a row we organized it in ZKM Karlsruhe. Next year PyCon.DE will move to Berlin.
#python #conference

Peter Hoffmann Peter Hoffmann

EuroSciPy 2018 - Apache Parquet as a columnar storage for large datasets

Apache Parquet is an binary, efficient columnar data format that can be used for high performance data I/O in Pandas and Dask.
#python #talk

Peter Hoffmann Peter Hoffmann

Europython 2018 - Using Pandas and Dask to work with large columnar datasets in Apache Parquet

Apache Parquet is an binary, efficient columnar data format that can be used for high performance data I/O in Pandas and Dask.
#python #talk

Peter Hoffmann Peter Hoffmann

Swiss Python Summit 2018 - 12 Factor Apps for Data-Science with Python

Heroku distilled their principles to build modern cloud applications. These principles have influenced many of our design decisions at Blue Yonder to build a data science platform.
#python #talk

Peter Hoffmann Peter Hoffmann

How to organize a PyCon.DE

Some notes on how to organize a conference like PyCon.DE
#python #conference

Peter Hoffmann Peter Hoffmann

PyCon.DE 2017 and PyData Karlsruhe

The venue setup @zkmkarlsruhe for #PyCon.DE 2017 and PyData Karlsruhe is done. We are ready for liftoff tomorrow.
#python

Peter Hoffmann Peter Hoffmann

EuroPython 2017 - Infrastructure as Python Code, Run your Services on Microsoft Azure

Using Infrastructure-as-Code principles with configuration through machine processable definition files in combination with the adoption of cloud computing provides faster feedback cycles in development/testing and less risk in deployment to production.
#python #talk

Peter Hoffmann Peter Hoffmann

PyConWeb 2017 Munich - Deploying your Web Services on Microsoft Azure

This talk will give an overview on how to deploy web services on the Azure Cloud with different tools like Azure Resource Manager Templates, the Azure SDK for Python and the Azure module for Ansible and present best practices learned while moving a company into the Azure Cloud.
#python #talk

Peter Hoffmann Peter Hoffmann

PyCon.DE 25-27th October 2017 Karlsruhe

The next PyCon.DE will be from 25-27th October 2017 at the ZKM - center for art and media in Karlsruhe/Germany.
#python #conference

Peter Hoffmann Peter Hoffmann

Getting started with the Cloudera Kudu storage engine in python

Cloudera Kudu is a distributed storage engine for fast data analytics. The python api is in alpha stage but already usable.
#python #pydata #spark

Peter Hoffmann Peter Hoffmann

PyScaffold - Easy setup of a Python project with a bliss

PyScaffold helps you to easily setup a new Python project.
#python

Peter Hoffmann Peter Hoffmann

EuroPython 2015 PySpark - Data Processing in Python on top of Apache Spark

Apache Spark is a computational engine for large-scale data processing. PySpark exposes the Spark programming model to Python. It defines an API for Resilient Distributed Datasets (RDDs) and the DataFrame API.
#python #pydata #spark #talk

Peter Hoffmann Peter Hoffmann