Videos from Berlin Buzzwords 2018

#bbuzz 2018: Frank Conrad – Spark and Flink running scalable in Kubernetes

Berlin Buzzwords 2018

Spark and Flink running scalable in Kubernetes

#bbuzz18: Christoffer Vig – (...) next generation plug-and-play IT-systems for public transport(...)

Berlin Buzzwords 2018

Transport-as-a-Service (TaaS) - How we build next generation plug-and-play IT-systems for public transport (ITxPT) at Ruter

Christoffer Vig

#bbuzz 2018: Matija Gobec – When DataFrames fail, resort to mapPartitions

Berlin Buzzwords 2018

When DataFrames fail, resort to mapPartitions

Matija Gobec

#bbuzz 2018: Stefanie Schirmer & Aakash Sabharwal – Your Search Service as a Composable Function

Berlin Buzzwords 2018

Your Search Service as a Composable Function

Stefanie Schirmer, Aakash Sabharwal

#bbuzz 2018: Anshum Gupta – Building a search platform 101

Berlin Buzzwords 2018

Building a search platform 101

Anshum Gupta

#bbuzz 2018: Rui Vieira – Building your own Distributed Streaming Recommendation Engine

Berlin Buzzwords 2018

Building your own Distributed Streaming Recommendation Engine

Rui Vieira

#bbuzz 2018: Maximilian Michels – CrateDB: A Search Engine or a Database? Both!

Berlin Buzzwords 2018

CrateDB: A Search Engine or a Database? Both!

Maximilian Michels

#bbuzz 2018: Subhojit Banerjee – Deploying Large Spark Models to production and model scoring(...)

Berlin Buzzwords 2018

Deploying Large Spark Models to production and model scoring in near real time

Subhojit Banerjee

#bbuzz 2018: Arpan Gupta & Seinjuti Chatterjee – From boolean towards semantic retrieval models

Berlin Buzzwords 2018

From boolean towards semantic retrieval models

Arpan Gupta, Seinjuti Chatterjee

#bbuzz 2018: Marton Elek – From docker to kubernetes: running Apache Hadoop in a cloud native way

Berlin Buzzwords 2018

From docker to kubernetes: running Apache Hadoop in a cloud native way

Marton Elek

#bbuzz 2018: Giovanni Fernandez-Kincade – Getting Started with Query Understanding

Berlin Buzzwords 2018

Getting Started with Query Understanding

Giovanni Fernandez-Kincade

#bbuzz 2018: Rekha Joshi – Large Scale Graph Solutions: Use-cases and Lessons Learnt

Berlin Buzzwords 2018

Large Scale Graph Solutions: Use-cases and Lessons Learnt

Rekha Joshi

#bbuzz 2018: Felipe Besson – Learning to Rank journey at GetYourGuide: Our Logbook

Berlin Buzzwords 2018

Learning to Rank journey at GetYourGuide: Our Logbook

Felipe Besson

#bbuzz 2018: Juan De Dios Santos Rivera – Lifting AntiSpam to the cloud and beyond

Berlin Buzzwords 2018

Lifting AntiSpam to the cloud and beyond

Juan De Dios Santos Rivera

#bbuzz 2018: Tomás Fernández Löbbe – New Replica Types in Solr 7

Berlin Buzzwords 2018

New Replica Types in Solr 7

Tomás Fernández Löbbe

#bbuzz 2018: Felipe Hoffa – Protecting sensitive data in huge datasets: Cloud tools you can use

Berlin Buzzwords 2018

Protecting sensitive data in huge datasets: Cloud tools you can use

Felipe Hoffa

#bbuzz 2018: Houston Putman – Relevant Data Analysis: Apache Solr Analytics

Berlin Buzzwords 2018

Relevant Data Analysis: Apache Solr Analytics

Houston Putman

#bbuzz 2018: Joshua Bacher & Christine Bellstedt – Search Suggestions

Berlin Buzzwords 2018

Search Suggestions – the underestimated killer feature of your online shop

Joshua Bacher, Christine Bellstedt

#bbuzz 2018: Domenico Corapi – Streams and graphs(...)

Berlin Buzzwords 2018

Streams and graphs: behind the scenes of building a doctor in your pocket.

Domenico Corapi

#bbuzz18: Holden Karau – Working with Tensorflow from the JVM: How Big Data and Deep Learning (...)

Berlin Buzzwords 2018

Working with Tensorflow from the JVM: How Big Data and Deep Learning can be BFFs

Holden Karau

#bbuzz 2018: Steve Loughran – @Dissidentbot: dissent will be automated!

Berlin Buzzwords 2018

@Dissidentbot: dissent will be automated!

Steve Loughran

#bbuzz 2018: Aljoscha Krettek – Stream Processing for the Practitioner(...)

Berlin Buzzwords 2018

Apache Lucene and Java 9+ — Opportunities and Challenges for Apache Solr and Elasticsearch

Uwe Schindler

#bbuzz 2018: Ellen Friedman – Beyond the Algorithm: What Makes Machine Learning Work?

Berlin Buzzwords 2018

Beyond the Algorithm: What Makes Machine Learning Work?

Ellen Friedman

#bbuzz 2018: Marta Piekarska – Blockchain In Wildlife – Use Cases in the Field

Berlin Buzzwords 2018

Blockchain in Wildlife - Use Cases in the Field at KINO

Marta Piekarska

Berlin Buzzwords

Videos from Berlin Buzzwords 2018

#bbuzz 2018: Frank Conrad – Spark and Flink running scalable in Kubernetes

#bbuzz18: Christoffer Vig – (...) next generation plug-and-play IT-systems for public transport(...)

#bbuzz 2018: Matija Gobec – When DataFrames fail, resort to mapPartitions

#bbuzz 2018: Stefanie Schirmer & Aakash Sabharwal – Your Search Service as a Composable Function

#bbuzz 2018: Anshum Gupta – Building a search platform 101

#bbuzz 2018: Rui Vieira – Building your own Distributed Streaming Recommendation Engine

#bbuzz 2018: Maximilian Michels – CrateDB: A Search Engine or a Database? Both!

#bbuzz 2018: Subhojit Banerjee – Deploying Large Spark Models to production and model scoring(...)

#bbuzz 2018: Arpan Gupta & Seinjuti Chatterjee – From boolean towards semantic retrieval models

#bbuzz 2018: Marton Elek – From docker to kubernetes: running Apache Hadoop in a cloud native way

#bbuzz 2018: Giovanni Fernandez-Kincade – Getting Started with Query Understanding

#bbuzz 2018: Rekha Joshi – Large Scale Graph Solutions: Use-cases and Lessons Learnt

#bbuzz 2018: Felipe Besson – Learning to Rank journey at GetYourGuide: Our Logbook

#bbuzz 2018: Juan De Dios Santos Rivera – Lifting AntiSpam to the cloud and beyond

#bbuzz 2018: Tomás Fernández Löbbe – New Replica Types in Solr 7

#bbuzz 2018: Felipe Hoffa – Protecting sensitive data in huge datasets: Cloud tools you can use

#bbuzz 2018: Houston Putman – Relevant Data Analysis: Apache Solr Analytics

#bbuzz 2018: Joshua Bacher & Christine Bellstedt – Search Suggestions

#bbuzz 2018: Domenico Corapi – Streams and graphs(...)

#bbuzz18: Holden Karau – Working with Tensorflow from the JVM: How Big Data and Deep Learning (...)

#bbuzz 2018: Steve Loughran – @Dissidentbot: dissent will be automated!

#bbuzz 2018: Aljoscha Krettek – Stream Processing for the Practitioner(...)

#bbuzz 2018: Ellen Friedman – Beyond the Algorithm: What Makes Machine Learning Work?

#bbuzz 2018: Marta Piekarska – Blockchain In Wildlife – Use Cases in the Field

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