Data Engineering Podcast

JANUARY 28, 2019

Summary Controlling access to a database is a solved problem… right? It can be straightforward for small teams and a small number of storage engines, but once either or both of those start to scale then things quickly become complex and difficult to manage. After years of running across the same issues in numerous companies and even more projects Justin McCarthy built strongDM to solve database access management for everyone.

Accessibility 100

Accessibility Accessible Database Management 100

Netflix Tech

JANUARY 31, 2019

by Richard Cool Netflix has over 139M members streaming on more than half a billion devices spanning over 1,700 different types of devices from hundreds of brands. This diverse device ecosystem results in a high dimensionality feature space, often with sparse data, and can make identifying device performance issues challenging. Identifying ways to scale solutions in this space is vital as the ecosystem continues to grow both in volume and diversity.

Electronics 88

Electronics Entertainment Machine Learning Engineering 88

Cloudera

JANUARY 30, 2019

It’s official – Cloudera and Hortonworks have merged , and today I’m excited to announce the availability of Cloudera Data Science Workbench (CDSW) for Hortonworks Data Platform (HDP). Trusted by large data science teams across hundreds of enterprises —. Western Union and IQVIA to name just a couple — CDSW is now also ready to help Hortonworks customers accelerate the delivery of new data products through secure, collaborative data science at scale.

Data Science 75

Data Science Machine Learning Scala Government 75

Zalando Engineering

JANUARY 30, 2019

Shared language and visualizing to deliver great products *Football is an environment with changing variables that players and coaches need to react to. Teams attempt to move the ball down the field by running or passing in a set number of plays. *If you’ve ever watched a football game you will see coaches holding a subset of plays from the coach’s playbook they think may work for the game they are playing.

Designing 40

Designing Building IT Data 40

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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

Teradata

JANUARY 29, 2019

Ben MacKenzie reflects on some of the unique challenges to building models with relational data.

Building 53

Building Data 53

Netflix Tech

JANUARY 31, 2019

By Gang Su & Ian Yohai From living rooms in Bogota, to morning commutes in Tokyo, to beaches in Los Angeles and dorms in Berlin, Netflix strives to bring joy to over 139 million members around the globe and connect people with stories they’ll love. Every bit of the customer experience is imbued with innovation, right from the very first encounter with Netflix during the signup process?

Healthcare 84

Healthcare Process Designing Accessibility 84

Teradata

JANUARY 31, 2019

Atif Kureishy explores how to fill the artificial intelligence skills gap.

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49

Teradata

JANUARY 29, 2019

Ben MacKenzie reflects on some of the unique challenges to building models with relational data.

Building 40

Building Data 40