Everything You Need to Know About Data Lakehouses
KDnuggets
SEPTEMBER 8, 2022
Learn everything you need to know about data lakehouses.
KDnuggets
SEPTEMBER 8, 2022
Learn everything you need to know about data lakehouses.
Cloudera
SEPTEMBER 8, 2022
“There are some unique challenges introduced by the requirement to govern data across a mixture of public cloud and on-premise data resources, ” according to the latest whitepaper published by the TM Forum , as “ their different characteristics require an awareness at the governance level in order to maintain cost, residency, performance, accessibility, and other objectives.” .
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Confluent
SEPTEMBER 8, 2022
Aurora’s modern relational database and Confluent’s database streaming services offer real-time hybrid/multicloud data pipelines and streaming ETL for cloud-native agility, elasticity, and cost efficiency.
KDnuggets
SEPTEMBER 8, 2022
Surprisingly easy solutions for complex data problems.
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.
Picnic Engineering
SEPTEMBER 8, 2022
We continue our story on the Analytics Platform setup in Picnic. In the “Picnic Analytics Platform: Migration from AWS Kinesis to Confluent Cloud” we described why and how we migrated from AWS Kinesis to Confluent Cloud. This time we will dive into how we configure our internal services pipeline. Quick re-cap: the purpose of the internal pipeline is to deliver data from dozens of Picnic back-end services such as warehousing, machine learning models, customers and order status updates.
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