Start Data Engineering

APRIL 10, 2020

Many data engineers coming from traditional batch processing frameworks have questions about real time data processing systems, like “What kind of data model did you implement, for real-time processing?

Data Warehouse 130

Data Warehouse Building Data Data Engineering 130

Confluent

APRIL 9, 2020

Many companies have recently started to take cybersecurity and data protection even more seriously, particularly driven by the recent General Data Protection Regulation (GDPR) legislation. They are increasing their investment […].

Kafka 145

Kafka Retail Data Process 145

Data Engineering Podcast

APRIL 6, 2020

Summary Knowledge graphs are a data resource that can answer questions beyond the scope of traditional data analytics. By organizing and storing data to emphasize the relationship between entities, we can discover the complex connections between multiple sources of information. In this episode John Maiden talks about how Cherre builds knowledge graphs that provide powerful insights for their customers and the engineering challenges of building a scalable graph.

Building 100

Building Big Data Machine Learning Python 100

Teradata

APRIL 6, 2020

By fully utilizing the data for telco operators in China, Teradata helped communities battle the COVID-19 epidemic through ongoing public health communication, travel updates and inquiries.

Utilities 111

Utilities Data 111

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

Start Data Engineering

APRIL 4, 2020

One of the most common issues when ingesting and processing user generated events is, how to deal with late arriving events. Yet this topic is not extensively discussed. Some of the general issues that data engineers usually have are “What should be considered the event time?

Data Engineering 130

Data Engineering Data Engineer Engineering Process 130

Confluent

APRIL 6, 2020

Today, we are excited to announce that after a highly productive period of being in private preview, Confluent Cloud KSQL is now production ready and available to all Confluent Cloud […].

Cloud 94

Cloud Process 94

Teradata

APRIL 9, 2020

Teradata participated in the MIT COVID Challenge Hackathon to design approaches and mentor teams focused on stamping out the pandemic. Learn more.

Designing 98

Designing 98

Teradata

APRIL 9, 2020

Teradata customers are interested in integrating Vantage with Microsoft Azure First Party Services. This Getting Started Guide will help you connect Teradata Vantage using Azure Data Factory Custom Activity feature.

Data 59

Data 59

Teradata

APRIL 8, 2020

There is no ROI in technology - specifically in data analytics, AI & Machine Learning - until we deploy in production and change the way we do business.

Machine Learning 52

Machine Learning Data Analytics Technology Data 52

Confluent

APRIL 8, 2020

Confluent Hub launched in 2018 as a place to discover and share Apache Kafka® and Confluent Platform plugins. Users have found the site a much better place to discover useful […].

Kafka 83

Kafka 83

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