Simon Späti

NOVEMBER 28, 2018

These days, everyone talks about open-source. However, this is still not common in the Data Warehouse (DWH) field. Why is this? In my recent blog, I researched OLAP technologies, for this post I chose some open-source technologies and used them together to build a full data architecture for a Data Warehouse system. I went with Apache Druid for data storage, Apache Superset for querying and Apache Airflow as a task orchestrator.

Data Warehouse 130

Data Warehouse Data Storage Data Architecture Architecture 130

Netflix Tech

NOVEMBER 28, 2018

by Will Bengtson Previously we wrote about a method for detecting credential compromise in your AWS environment. The methodology focused on a continuous learning model and first use principle. This solution still is reactive in nature?—?we only detect credential compromise after it has already happened. Even with detection capabilities, there is a risk that exposed credentials can provide access to sensitive data and/or the ability to cause damage in our environment.

AWS 95

AWS Metadata Amazon Web Services Cloud 95

Data Engineering Podcast

NOVEMBER 25, 2018

Summary When your data lives in multiple locations, belonging to at least as many applications, it is exceedingly difficult to ask complex questions of it. The default way to manage this situation is by crafting pipelines that will extract the data from source systems and load it into a data lake or data warehouse. In order to make this situation more manageable and allow everyone in the business to gain value from the data the folks at Dremio built a self service data platform.

Data Lake 100

Data Lake Data Warehouse Hadoop BI 100

Zalando Engineering

NOVEMBER 28, 2018

Exploring the Zalando Assortment by Browsing a Product Similarity Graph Introduction As Europe's leading online fashion and lifestyle platform, Zalando is continually developing new features to enable our customers to find the products they want. While the standard tools of Search, Categorization & Attribute Filtering are par-for-the-course for purchasing items online, with an ever-expanding fashion assortment and an increase in the data available to describe a product, this browsing experie

Algorithm 40

Algorithm Computer Science Python Big Data 40

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data

Netflix Tech

NOVEMBER 26, 2018

by Shaun Blackburn AWS re:Invent is back in Las Vegas this week! Many Netflix engineers and leaders will be among the 40,000 attending the conference to connect with fellow cloud and OSS enthusiasts. You can find us at our booth on the expo floor, speaking on a variety of subjects, and at meetups and events around the re:Invent campus. We have listed all our talks below to make it easy to hear what we have been up to.

AWS 45

AWS Software Engineer Software Engineering Entertainment 45

Zalando Engineering

NOVEMBER 25, 2018

Zalando Postgres operator: one year later The Postgres operator provides a managed Postgres service for Kubernetes. It extends the Kubernetes API with a custom “postgresql” resource that describes desired characteristics of a Postgres cluster, monitors updates of this resource and adjusts Postgres clusters accordingly. Zalando successfully uses the operator to manage more than 450 Postgres clusters across a large number of Kubernetes installations.

PostgreSQL 40

PostgreSQL Cloud Storage Cloud Computing Database 40