Data Engineering Podcast

MAY 4, 2020

Summary Data management is hard at any scale, but working in the context of an enterprise organization adds even greater complexity. Infoworks is a platform built to provide a unified set of tooling for managing the full lifecycle of data in large businesses. By reducing the barrier to entry with a graphical interface for defining data transformations and analysis, it makes it easier to bring the domain experts into the process.

Data Pipeline 100

Data Pipeline Hadoop Big Data Data 100

Confluent

MAY 6, 2020

A few weeks ago when we talked about our new fundraising, we also announced we’d be kicking off Project Metamorphosis. What is Project Metamorphosis? Let me try to explain. I […].

Project 123

Project Kafka Cloud 123

Teradata

MAY 5, 2020

Advanced analytics & AI techniques can help in curtailing the COVID-19 pandemic. This post describes an analytics prototype to build an early warning system for COVID-19.

Systems 118

Systems Building 118

Grouparoo

MAY 6, 2020

A guide to the Grouparoo Monorepo Automated Release Process Coming from more traditional web & app development, I’m a big fan of git-flow style workflow. Specifically the following features: There are feature branches, an integration branch where features are merged together (usually called main ), and finally the "live" branch that customers are using (often called stable , release or production ) The main branch is always deployable (and should be deployed automatically with a CI/C

MySQL 52

MySQL Project Process Building 52

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

Rockset

MAY 6, 2020

The ability to get the changes that happen in an operational database like MongoDB and make them available for real-time applications is a core capability for many organizations. Change Data Capture (CDC) is one such approach to monitoring and capturing events in a system. Wikipedia describes CDC as “a set of software design patterns used to determine and track the data that has changed so that action can be taken using the changed data.

MongoDB 40

MongoDB Bytes Database Relational Database 40

Confluent

MAY 4, 2020

Consumer shopping patterns have changed drastically in the last few years. Shopping in a physical store is no longer the only way. Retail shopping experiences have evolved to include multiple […].

Systems 102

Systems Kafka Retail Architecture 102

Confluent

MAY 7, 2020

Earning customer love is a core value at Confluent, and like all relationships, listening makes the love flourish. When it comes to monitoring, we’ve heard you, and we are pleased […].

IT 91

IT Programming 91

Confluent

MAY 5, 2020

One of the most critical aspects of any scale-out database is its availability to serve queries during partial failures. Business-critical applications require some measure of resilience to be able to […].

Database 87

Database IT Process 87

Teradata

MAY 3, 2020

As we entered 2020, the Automotive industry was facing several challenges. The current pandemic has taken an already difficult situation to another level. Learn how data analytics can help.

Data Analytics 71

Data Analytics Data 71

Confluent

MAY 6, 2020

A few weeks ago when we talked about our new fundraising, we also announced we’d be kicking off Project Metamorphosis. What is Project Metamorphosis? Let me try to explain. I […].

Project 62

Project Kafka Cloud 62

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