Data Engineering Podcast

JANUARY 22, 2017

Summary There is a vast constellation of tools and platforms for processing and analyzing your data. In this episode Matthew Rocklin talks about how Dask fills the gap between a task oriented workflow tool and an in memory processing framework, and how it brings the power of Python to bear on the problem of big data. Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data infrastructure Go to dataengineeringpodcast.com to subscribe to the show, sign up for the news

Hadoop 100

Hadoop Python Data Analytics Big Data 100

Zalando Engineering

JANUARY 26, 2017

Zalando recently held its annual Hack Week , during which teams can brainstorm and work on innovative ideas that bring about real business value. This year I went for something totally geeky compared to last year, which had me working on a refugee-related project. The name of it is VRify. VRify’s purpose is to create an immersive conference call experience that allows you to communicate with your remote colleagues more efficiently.

Utilities 40

Utilities Technology Project Building 40

Dataquest

JANUARY 25, 2017

From helping cars drive themselves to helping Facebook tag you in photos , data science has attracted a lot of buzz recently. Data scientists have become extremely sought after , and for good reason — a skilled data scientist can add incredible value to a business. But what about data engineers? Who are they, and what do they do? A data scientist is only as good as the data they have access to.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

Zalando Engineering

JANUARY 24, 2017

Zalando’s annual Hack Week is the perfect opportunity for engineers, product specialists, UX designers, and user researchers to experiment and play around with ideas. Projects range in scope and focus on improving the customer experience of Zalando, but also rethink the way we work together across our tech department. Many Hack Week projects, especially when UX-savvy people are involved, not only solve design-related problems but also apply user centered design methods in the development process

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Designing Utilities Project Accessible 40

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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