Sat.May 12, 2018 - Fri.May 18, 2018

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Brief Conversations From The Open Data Science Conference: Part 2 - Episode 31

Data Engineering Podcast

Summary The Open Data Science Conference brings together a variety of data professionals each year in Boston. This week’s episode consists of a pair of brief interviews conducted on-site at the conference. First up you’ll hear from Andy Eschbacher of Carto. He dscribes some of the complexities inherent to working with geospatial data, how they are handling it, and some of the interesting use cases that they enable for their customers.

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Engineering a Job-based Forecasting Workflow for Observability Anomaly Detection

Uber Engineering

At Uber, we combine real-time systems monitoring with intelligent alerting mechanisms to ensure the availability and reliability of our apps. In our push to empower our engineers to author more accurate alerts, Uber’s Observability Applications team sought to introduce alert … The post Engineering a Job-based Forecasting Workflow for Observability Anomaly Detection appeared first on Uber Engineering Blog.

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Simulation for better decision making

Cloudera

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Cloudera Enterprise is the market leader in this space and working closely with the wider open source community to integrate the latest innovations in machine learning and artificial intelligence (AI).

Finance 43
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Scaling Agile at Zalando

Zalando Engineering

Sharing successful large scale agile experiences Zalando has been known for radical approaches to agility since 2015. In order to keep growing and staying successful we took the next step in 2017 forming around 30 business units. Each business unit is formed around one particular business problem, topic or product with end2end responsibility. All disciplines needed are inside this business unit from commercial roles to tech teams.

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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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Cross-Functional Trade Surveillance

Cloudera

The Keystone to a Holistic Trade Surveillance Strategy. Criminals don’t refer to a playbook of best practices to execute a crime. They are creative in their thinking and collaborative in their efforts (including with parties who may not know they are complicit) to obtain their objectives and avoid getting caught. Trade surveillance in the financial services industry must respond to their creativity and the complexities of a global trading network, the myriad of digital and physical communication

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Dublin’s Data Science Guild

Zalando Engineering

How to establish and evolve your data science community In Zalando, we have many guilds: self-organized groups of people who share interests. The topics, scope, size, and ways to organize the guilds varies. We have technical guilds like the web or API guilds , local and artistic guilds like the knitting guild in Helsinki, and some guilds that support the growth of people in certain job families, like the Data Science Guild.