Data
CockroachDB: Distributed Databases and Containerization with Spencer Kimball

In 2003, Google developed a robust cluster management system called Borg. This enabled them to manage clusters with tens of thousands of machines, moving them away from virtual machines
Imply Infra: Big Data Analysis and Real-World Examples with Jad Naous

Big data analytics is the process of collecting data, processing and cleaning it, then analyzing it with techniques like data mining, predictive analytics, and deep learning. This
Better Stack: A New DevOps Experience with Juraj Masar

DevOps has shortened the development life cycle for countless applications and is embraced by companies around the world. But managing and monitoring multiple environments is still a
Data Science on AWS: Implementing AI and ML Pipelines on AWS with Chris Fregly

Data science is an interdisciplinary field that combines strong technical skills with industry knowledge to perform a large range of jobs. Data scientists solve business questions with
Data Lineage: Understanding Data Lineage at Scale with Julien Le Dem

Big Data has exploded the past decade as cloud computing and more efficient hardware made scaling essentially limitless. Products like Uber revolve entirely around analyzing data to