Data Engineering Podcast

JUNE 29, 2020

Summary We have machines that can listen to and process human speech in a variety of languages, but dealing with unstructured sounds in our environment is a much greater challenge. The team at Audio Analytic are working to impart a sense of hearing to our myriad devices with their sound recognition technology. In this episode Dr. Chris Mitchell and Dr.

Data Collection 100

Data Collection Management High Quality Data Metadata 100

Confluent

JULY 1, 2020

This is the third month of Project Metamorphosis, where we discuss new features in Confluent’s offerings that bring together event streams and the best characteristics of modern cloud data systems. […].

Project 120

Project Cloud Kafka Systems 120

Teradata

JUNE 29, 2020

Vantage Trial provides free, 30-day access to Teradata Vantage in the cloud along with easy-to-use, web-based tools and applications for performing advanced analytics. Learn more.

Cloud 98

Cloud Accessible Accessibility 98

Netflix Tech

JUNE 30, 2020

By Steve Urban , Sridhar Seetharaman , Shilpa Motukuri , Tom Mack , Erik Strauss , Hema Kannan , CJ Barker Netflix is revolutionizing the way a modern studio operates. Our mission in Studio Engineering is to build a unified, global, and digital studio that powers the effective production of amazing content. [link] Netflix produces some of the world’s most beloved and award-winning films and series, including The Irishman, The Crown, La Casa de Papel, Ozark, and Tiger King.

Engineering 95

Engineering Entertainment Finance Machine Learning 95

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

DareData

JULY 3, 2020

The importance of having accurate sales forecasts When we think of sales forecasting, a couple of interesting questions unfold: how do most businesses manage their operations without having an accurate view of the future? With strategic decisions having a long-term impact on business, are businesses using all the data they could? Just like a driver can drive during a really foggy day with minimal lights on or an investor can invest in some asset without understanding the future parameters that w

Retail 52

Retail Machine Learning Algorithm Project 52

Confluent

JUNE 30, 2020

You know the fundamentals of Apache Kafka®. You are a Spring Boot developer working with Apache Kafka. You have chosen Spring Kafka for your integration. You have implemented your first […].

Kafka 120

Kafka Data 120

dbt Developer Hub

JUNE 30, 2020

Before I dive into how to create this, I have to say this. You probably don’t need this. I, along with my other Fishtown colleagues, have spent countless hours working with clients that ask for near-real-time streaming data. However, when we start digging into the project, it is often realized that the use case is not there. There are a variety of reasons why near real-time streaming is not a good fit.

SQL 52

SQL Lambda Architecture Raw Data Architecture 52

Zalando Engineering

JUNE 30, 2020

Our Engineering Blog was launched in June 2020 after a long break of the previous tech blog. This post describes the technical setup behind engineering.zalando.com. You will learn: Which static site generator we selected and why. What customizations we applied to design the blog and the publishing process. How we serve static HTML using Skipper and S3.

Engineering 40

Engineering Bytes AWS Python 40

Preset

JULY 1, 2020

Create a new data visualization for Superset

Building 40

Building Data 40

Teradata

JULY 1, 2020

The COVID crisis has catapulted banking into its digital future. Many of the forced changes in customer behavior and ways of working may well stick. Read more.

Banking 59

Banking IT 59

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