Jakub Stransky

6 Abonné

I believe in human mind. It is so powerful and creative in dealing with information. Refine an information from the data is a long and tedious process full of repetitive tasks where people tend to fail as they don't feel challenged enough. On the other hand, machines are workers with always a good mood and smile who doesn't say sorry for processing an item no. 271531 even though they have already done dozen of those. Let's make a deal! I really love to build a "smart" software in a smart way with elegance and simplicity taking advantage of the wealth of data available. By using modern software development approaches, technologies and methodologies allows me to be as efficient as possib...

hadoop distribution hortonworks puppet configuration management devops hadoop hbase

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Jakub Stransky

Présentations

Hadoop hbase introduction

Deep dive hadoop

Configuration management with puppet

Hadoop distributions - ecosystem

J’aime

Prometheus Everything, Observing Kubernetes in the Cloud

Patterns of resilience

Meet the squirrel @ #CSHUG

Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015

Advanced Analytics and Recommendations with Apache Spark - Spark Maryland/DC Meetup Feb 22 2016

Tackling a 1 billion member social network

Pět reportů, které by e-shopáři měli řešit a neřeší

Extreme Apache Spark: how in 3 months we created a pipeline that can process 2.5 billion rows a day

Fast and Simplified Streaming, Ad-Hoc and Batch Analytics with FiloDB and Spark Streaming

Scala profiling

WebTech Tutorial Querying DBPedia

Java and SPARQL

Designing Reactive Systems with Akka

Akka Typed — between Session Types and the Actor Model

Life Beyond the Illusion of Present

SPARQL Cheat Sheet

Semantic web meetup – sparql tutorial

GraphX: Graph analytics for insights about developer communities

QCon São Paulo: Real-Time Analytics with Spark Streaming

Apache storm vs. Spark Streaming

spray: REST on Akka (Scala Days)

Reactive Streams / Akka Streams - GeeCON Prague 2014

Piotr Mirowski - Review Autoencoders (Deep Learning) - CIUUK14

Deep Learning & NLP: Graphs to the Rescue!

Interactive Session on Sparkling Water

Functional Programming Patterns (BuildStuff '14)

Puppet Camp London Fall 2014: Keynote

Introduction to Mahout and Machine Learning

Machine Learning and Data Mining: 19 Mining Text And Web Data

Do Languages Matter?