Towards Data Science

MAY 28, 2023

Clean, process and tokenise texts in milliseconds using in-built Polars string expressions Continue reading on Towards Data Science »

Datasets 68

Datasets Process Data Science Data 68

Hevo

MAY 28, 2023

Organizations use Kafka and Debezium to track real-time changes in databases and stream them to different applications. But often, due to a colossal amount of messages in Kafka topics, it becomes challenging to serialize these messages. Every message in Kafka’s topic has a key and value.

Kafka 52

Kafka Database IT 52

Data Engineering Podcast

MAY 28, 2023

Summary Building a data team is hard in any circumstance, but at a startup it can be even more challenging. The requirements are fluid, you probably don't have a lot of existing data talent to manage the hiring and onboarding, and there is a need to move fast. Ghalib Suleiman has been on both sides of this equation and joins the show to share his hard-won wisdom about how to start and grow a data team in the early days of company growth.

Data Lake 162

Data Lake Machine Learning Data Warehouse Education 162

Data Engineering Weekly

MAY 28, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make collecting data from every application, website, and SaaS platform easy, then activating it in your warehouse and business tools. Sign up free to test out the tool today. Editor’s Note: DEW featured in AirByte’s State of the Data & Slack’s usage of Kafka DEW has been recognized as the number one individually run data newsletter in the industry, according to the latest AirB

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 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 Science