Community Picks·2yMy favorite coding question to give candidates (and why)
The article discusses the author's favorite coding question to ask candidates during interviews. It emphasizes the importance of clarifying questions, understanding code complexity, and optimizing solutions. The question involves generating a list of loyal customers based on log files. The article highlights different approaches taken by candidates and provides insights for interviewers.
TigerData (Creators of TimescaleDB)·2yQuickly Building SQL Dashboards for Time Series
Continuous aggregates in TimescaleDB are an enhanced version of PostgreSQL materialized views that automatically refresh as new data is added or modified. These aggregates enable real-time dashboards for time-series data in PostgreSQL, allowing for fast queries and analytics, even with large amounts of data.
KDnuggets·2y25 Free Courses to Master Data Science, Data Engineering, Machine Learning, MLOps, and Generative AI
Discover a collection of top free courses to master data science, data engineering, machine learning, MLOps, and generative AI. Enhance your skills and embark on a new career with flexible and accessible learning opportunities.
KDnuggets·2y25 Free Books to Master SQL, Python, Data Science, Machine Learning, and Natural Language Processing
Discover a collection of 25 free books that cover topics like SQL, Python, Data Science, Machine Learning, and Natural Language Processing. These books provide valuable resources to help you gain hands-on experience and build your own applications.
Towards Data Science·2ySystem Design Series: The Ultimate Guide for Building High-Performance Data Streaming Systems from Scratch!
This article discusses the process of building high-performance data streaming systems for recommendation services. It explains the need for data streaming pipelines, the challenges of data ingestion, the importance of using Apache Kafka, the steps involved in data processing, the choice of using Cassandra as a data store, and the process of querying recommendations.
Medium·2yMLOps roadmap 2024
The MLOps roadmap for 2024 covers the essential skills, tools, and principles that an MLOps engineer should know, including programming skills, containerization with Docker, Kubernetes, machine learning fundamentals, MLOps principles, and MLOps components. The post emphasizes the importance of Python, Docker, and Kubernetes in MLOps engineering.