Data Engineering Podcast

MAY 13, 2018

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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Data Science Algorithm Database Data Engineering 100

Uber Engineering

MAY 16, 2018

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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Engineering Systems Architecture 81

Cloudera

MAY 15, 2018

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).

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Finance Machine Learning Big Data Banking 42

Zalando Engineering

MAY 16, 2018

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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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Cloudera

MAY 16, 2018

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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Data Lake Electronics Media Unstructured Data 42

Zalando Engineering

MAY 14, 2018

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.

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