Concept

Analytics

Related lectures (32)

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.

Accelerating Data Analytics: Innovations in Post-Moore Era

Covers advancements in data analytics systems and the role of hardware-software co-design in enhancing performance in the Post-Moore era.

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.

Accelerated Data Management Systems

Explores accelerated data management systems through real-time specialization on heterogeneous hardware and GPU accessing fresh data from CPU memory.

Orchestration Graphs

Delves into orchestration graphs, transition probabilities, and learning analytics for predicting student states.

Social Media and AI for Emergency Response

Explores social media analysis for emergency response and digital volunteerism tools.

Introduction to Streams

Covers data streams, real-time analytics, challenges, data stream model, and efficient management.

ML Deployment Challenges and Food Distribution System

Covers challenges in ML deployment and using ML for predicting food crisis areas.

Design Reflection Minute

Explores the ethical implications of predicting student performance using analytics.

Analytical Trajectories: Key Ingredients

Explores analytical trajectories, emphasizing critical points, inequalities, and analyticity.

Data Warehouses and Data Lakes

Covers data warehouses, data lakes, OLTP vs. OLAP, data quality, and the Data Lakehouse concept.

Artificial Intelligence: The New Radical Addition to Work

Explores the convergence of IoT, Big Data, and Deep Learning in Artificial Intelligence applications across various industries.

Digital Transformation: Solutions and Data

Explores digital transformation opportunities, big data, analytics, and technology innovations in business and research.

Apache Spark Ecosystem: Basics and Operations

Provides an overview of the Apache Spark ecosystem, covering basics, operations, and key components.

Sustainable Design of Steel Structures: Hazards & Wind Energy

Discusses sustainable design of steel structures against natural hazards and optimal wind energy systems, including challenges, risk assessment, wind farm layout optimization, and urban flow simulations.

Urban Morphology and Morphogenesis

Explores urban morphology, self-organized urban systems, challenges in achieving the (Urban) Digital Twin concept, LASIG's spatial analysis contributions, and teaching geomatics.

Efficient Column Store for Cloud Data Lakes

Explores the design of Pixels, a column store for cloud data lakes, focusing on latency mitigation and query performance improvements.

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.

Data Management Challenges: Hardware and Query Optimization

Explores hardware changes, query optimization, workload distribution, and effective strategies for academia and work-life balance.

Big Data Best Practices and Guidelines

Covers best practices and guidelines for big data, including data lakes, architecture, challenges, and technologies like Hadoop and Hive.