YoVDO

Serverless Realtime Lakehouse Architecture - Standing on the Shoulders of Open-Source Giants

Offered By: Confluent via YouTube

Tags

Cloud Computing Courses Apache Spark Courses Databricks Courses Data Engineering Courses Serverless Computing Courses Real-Time Data Processing Courses Data Streaming Courses Data Pipelines Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the evolution and implementation of the lakehouse architecture in this 49-minute conference talk from Confluent. Gain a technical, no-nonsense introduction to the lakehouse concept, delve into its architecture, and understand how it's built with streaming as a core component. Discover the potential of serverless technology for streaming use cases, drawing parallels with popular serverless concepts like AWS Lambda functions. Participate in an interactive, hands-on demo showcasing a serverless streaming use case involving live event ingestion from hundreds of mobile devices. Critically examine the extent of serverless implementation in modern lakehouses, with insights from Databricks' approach. Recap the open-source foundation of lakehouse architecture, understand its appeal for streaming beyond Spark Structured Streaming, and explore the technical aspects of a serverless lakehouse. Learn how this architecture can benefit data practitioners by reducing costs and operational overhead through a live, end-to-end demonstration of serverless data engineering.

Syllabus

Standing on the Shoulders of Open-Source Giants: The Serverless Realtime Lakehouse


Taught by

Confluent

Related Courses

CS115x: Advanced Apache Spark for Data Science and Data Engineering
University of California, Berkeley via edX
Big Data Analytics
University of Adelaide via edX
Big Data Essentials: HDFS, MapReduce and Spark RDD
Yandex via Coursera
Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames
Yandex via Coursera
Introduction to Apache Spark and AWS
University of London International Programmes via Coursera