Concept
Analytics
Related lectures (65)
Analytics on Data at Rest and Data in Motion
Explores combining data at rest with data in motion, emphasizing the Lambda architecture complexities and quality assessment of streams and batches.
Internet of Things and the Evolved Workplace
Explores the transformative potential of IoT in workplaces and businesses, showcasing economic benefits, popular technologies, and vertical companies.
Orchestration Graphs
Delves into orchestration graphs, transition probabilities, and learning analytics for predicting student states.
Introduction to Streams
Covers data streams, real-time analytics, challenges, data stream model, and efficient management.
Data Warehouses and Data Lakes
Covers data warehouses, data lakes, OLTP vs. OLAP, data quality, and the Data Lakehouse concept.
Apache Spark Ecosystem: Basics and Operations
Provides an overview of the Apache Spark ecosystem, covering basics, operations, and key components.
Data Stream Processing: Apache Kafka and Spark
Covers data stream processing with Apache Kafka and Spark, including event time vs processing time, stream processing operations, and stream-stream joins.
Advanced Data Stream Processing Concepts
Explores event time vs. processing time, stream processing operations, stream-stream joins, and handling late/out-of-order data in data stream processing.
Introduction to Data Stream Processing
Covers the fundamentals of data stream processing, including tools like Apache Storm and Kafka, key concepts like event time and window operations, and the challenges of stream processing.
Data Streams and Approximation
Explores data stream management, real-time analytics, data stream models, and processing challenges.