Data Engineering Podcast

JULY 29, 2018

Summary With the attention being paid to the systems that power large volumes of high velocity data it is easy to forget about the value of data collection at human scales. Ona is a company that is building technologies to support mobile data collection, analysis of the aggregated information, and user-friendly presentations. In this episode CTO Peter Lubell-Doughtie describes the architecture of the platform, the types of environments and use cases where it is being employed, and the value of s

Data Collection 100

Data Collection Kafka Data Warehouse Architecture 100

ProjectPro

JULY 3, 2018

News on Hadoop - June 2018 RightShip uses big data to find reliable vessels.HoustonChronicle.com,June 15, 2018. RightShip is using IBM’s predictive big data analytics platform to calculate the likelihood of compliance or mechanical troubles that an individual merchant ship will experience within the next year.It also leverages big data to analyse carbon emissions and vessel efficiency.

Hadoop 52

Hadoop Big Data Data Mining Government 52

Cloudera

JULY 18, 2018

The practice of medicine is not only a science, it is also an art. With it, difficult situations will arise requiring insightful judgments made by well-trained physicians who can tailor their approach to the needs of patients. As such, we are witnessing a revolution in the healthcare industry, in which there is now an opportunity to employ a new model of improved, personalized, evidence and data-driven clinical care.

Machine Learning 51

Machine Learning Healthcare Medical Electronics 51

Zalando Engineering

JULY 25, 2018

Applying agile frameworks to HR processes At Zalando we set up multi-disciplinary teams to develop our products. We do not have a central tech unit, but tech is distributed everywhere. This means that the way our techies work together has also spread across the company. Everywhere in the organization people have touch points with agile frameworks and practices.

Data Transparency 40

Data Transparency Management Accessible Accessibility 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 Science

Data Engineering Podcast

JULY 8, 2018

Summary Data integration and routing is a constantly evolving problem and one that is fraught with edge cases and complicated requirements. The Apache NiFi project models this problem as a collection of data flows that are created through a self-service graphical interface. This framework provides a flexible platform for building a wide variety of integrations that can be managed and scaled easily to fit your particular needs.

Building 100

Building Transportation Kafka Java 100

Data Engineering Podcast

JULY 1, 2018

Summary Data is often messy or incomplete, requiring human intervention to make sense of it before being usable as input to machine learning projects. This is problematic when the volume scales beyond a handful of records. In this episode Dr. Cheryl Martin, Chief Data Scientist for Alegion, discusses the importance of properly labeled information for machine learning and artificial intelligence projects, the systems that they have built to scale the process of incorporating human intelligence in

Metadata 100

Metadata Machine Learning Data Preparation Data Collection 100

Zalando Engineering

JULY 9, 2018

Zalando’s maiden tech hub celebrates in style With our 10th anniversary celebrations coming up, 2018 is a very special year in the Zalando universe. But while the company celebrates 10 years, we in Dortmund are excited to celebrate our own birthday as we turn six. Every year in July, we stop for a moment in Dortmund to reflect on our past journey together and celebrate the opening of our Dortmund Tech Hub in 2012.

Technology 40

Technology Management IT 40

Zalando Engineering

JULY 4, 2018

How using a State Machine saved our apps & flows from refactoring There is a lot to learn about a "Finite State Machine" (FSM). A little intro: what is a FSM? A Finite State Machine is an abstract model of computation, which can be in only one finite state at a specific moment. Finite State Machines are used to model problems in different domains such as AI, games, application flows, etc.

Utilities 40

Utilities Consulting Coding Designing 40

Data Engineering Podcast

JULY 15, 2018

Summary When working with large volumes of data that you need to access in parallel across multiple instances you need a distributed filesystem that will scale with your workload. Even better is when that same system provides multiple paradigms for interacting with the underlying storage. Ceph is a highly available, highly scalable, and performant system that has support for object storage, block storage, and native filesystem access.

Hadoop 100

Hadoop Data Engineering Data Engineer Coding 100

Zalando Engineering

JULY 11, 2018

Decoupled styling in UI components Styling isolation Styling isolation achieved via CSS-modules , various CSS-in-JS solutions or Shadow-DOM simulation is already a commonly used and embraced pattern. This important step in CSS evolution was really necessary for UI components to be used with more confidence. No more global scope causing name conflicts and CSS leaking in and out!

Media 40

Media Designing Accessible Accessibility 40

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Engineering

Cloudera

JULY 9, 2018

The New Iron Triangle. It is cliché to discuss IT/business solutions as people, process, and technology. Some call it the “golden triangle,” but in this blog, we refer to it as the iron triangle. Since the 1960s, technology has disrupted business through the advent of computing and information management. These systems replaced highly manual operations such as record keeping, finance, and reporting.

BI 42

BI Machine Learning Data Science Business Intelligence 42