Code Talks 2017 Data Engineering

Media Summary: Recommendations at XING: From theory to production Speaker: Jürgen Becker (Team Lead Speaker: Tamara Mendt (HelloFresh SE) We will walk through one of our How to transform a brick and mortar industry from within - building the world's best technology platform for real estate brokerage.

Code Talks 2017 Data Engineering - Detailed Analysis & Overview

Recommendations at XING: From theory to production Speaker: Jürgen Becker (Team Lead Speaker: Tamara Mendt (HelloFresh SE) We will walk through one of our How to transform a brick and mortar industry from within - building the world's best technology platform for real estate brokerage. Tensorflow for Janitors Speaker: Dániel Molnár (Senior Master Python Fundamentals & Jobs Interviews w/ Datacamp: Python Programming Fundamentals: ...

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code.talks 2017 - Data engineering without walls (Pere Urbón-Bayes)

code.talks 2017 - Recommendations at XING: From theory to production (Jürgen Becker & Katja Niemann)

ctcs 2017 - Learnings from building a marketing data pipeline using Hadoop, Spark, and Airflow

code.talks 2017 - How to transform a brick and mortar industry from within

code.talks 2019 - The Changing Face of ETL: Event-Driven Architectures for Data Engineers

Functional Data Engineering - A Set of Best Practices | Lyft

Big Data Engineering Full Course Part 1 | 17 Hours

code.talks 2017 - Tensorflow for Janitors (Dániel Molnár)

Will AI REPLACE Data Engineers?

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code.talks 2017 - Data engineering without walls (Pere Urbón-Bayes)

code.talks 2017 - Data engineering without walls (Pere Urbón-Bayes)

Data engineering

code.talks 2017 - Recommendations at XING: From theory to production (Jürgen Becker & Katja Niemann)

code.talks 2017 - Recommendations at XING: From theory to production (Jürgen Becker & Katja Niemann)

Recommendations at XING: From theory to production Speaker: Jürgen Becker (Team Lead

ctcs 2017 - Learnings from building a marketing data pipeline using Hadoop, Spark, and Airflow

ctcs 2017 - Learnings from building a marketing data pipeline using Hadoop, Spark, and Airflow

Speaker: Tamara Mendt (HelloFresh SE) We will walk through one of our

code.talks 2017 - How to transform a brick and mortar industry from within

code.talks 2017 - How to transform a brick and mortar industry from within

How to transform a brick and mortar industry from within - building the world's best technology platform for real estate brokerage.

code.talks 2019 - The Changing Face of ETL: Event-Driven Architectures for Data Engineers

code.talks 2019 - The Changing Face of ETL: Event-Driven Architectures for Data Engineers

by Robin Moffatt

Functional Data Engineering - A Set of Best Practices | Lyft

Functional Data Engineering - A Set of Best Practices | Lyft

Download slides: ...

Big Data Engineering Full Course Part 1 | 17 Hours

Big Data Engineering Full Course Part 1 | 17 Hours

This Course Cover Complete Big

code.talks 2017 - Tensorflow for Janitors (Dániel Molnár)

code.talks 2017 - Tensorflow for Janitors (Dániel Molnár)

Tensorflow for Janitors Speaker: Dániel Molnár (Senior

Will AI REPLACE Data Engineers?

Will AI REPLACE Data Engineers?

Master Python Fundamentals & Jobs Interviews w/ Datacamp: Python Programming Fundamentals: ...