Using Debezium to Transfer Realtime Data Changes from SQL Server to Event Hub
Automate SQL Server change data capture into Event Hub using Debezium. Learn to streamline data transfer for serverless architectures.
Microsoft Purview Data Governance: Updates and Roadmap
Explore Microsoft Purview's data governance capabilities, roadmap, and platform apps including catalog, share, policy, and data estate insights for effective data management.
Building Trust in Your Data - Why Data Governance is the Key to Success
Discover why data governance is crucial for success and learn key concepts to build trust in your data. Gain insights from industry experts on implementing effective data governance strategies.
Implementing a Data Quality Framework for Databricks, Synapse, and Power BI Solutions
Implement a framework for data quality validation and monitoring across your end-to-end data platform, including Power BI, Databricks, and Synapse Analytics.
Accelerate Release Velocity and Quality with Modern DevOps Test Data Management Practices
Discover modern DevOps practices for on-demand, compliant data delivery in application development and analytics, addressing data sprawl and regulatory challenges in the Microsoft ecosystem.
Unity Catalog and Purview - Data Governance Integration
Explore data lineage from Databricks Unity Catalog in Microsoft Purview through hands-on demonstrations, enhancing your data governance capabilities.
Before It's Too Late: Finding Real-Time Holes in Data
Discover techniques for identifying and addressing real-time data gaps, enhancing data integrity and decision-making in dynamic environments.
Detecting Operational Issues Using Metrics
Explore effective strategies for identifying operational problems through metric analysis, enhancing system monitoring and troubleshooting capabilities.
Hazelcast 5.1 - The Hitchhiker's Guide
Explore Hazelcast's ecosystem beyond distributed caching, delving into advanced concepts like CRDTs, HyperLogLog, CP Subsystem, and real-time stream processing.
Refactoring Organizations - Maximizing Team Productivity and Delivery Quality
Explore proven engineering methodologies to maximize team autonomy, align business boundaries, and boost productivity in product development and data processing.
Modern Observability for Cloud Applications - Spectacles on Steroids
Explore modern telemetry for cloud-based distributed systems, covering observability pillars, AWS services, OSS integration, and reference architectures for enhanced monitoring.
The End of the Data Ice Age - Hot and Cold Data States in Modern Computing
Explore the evolution of data states in computing, examining hot and cold data paradigms and their impact on software development. Discover potential future directions for data management.
Maximum Entropy and Species Distribution Modeling - 2007 - Lecture
Explore maximum entropy methods for species distribution modeling, covering theoretical guarantees, experimental tests, and applications in conservation biology.
Parsing the Web: Large-Scale Syntactic Processing - 2009 Workshop Closing Presentation
Explore large-scale syntactic processing techniques for parsing web content in this comprehensive workshop presentation from CLSP at Johns Hopkins University.
An Overview of Deep Learning Frameworks and Introduction to PyTorch
Explore deep learning frameworks, focusing on PyTorch. Learn about research workflows, data processing, and model building from Facebook AI researcher Soumith Chintala.
Low-Pass Semantics with a Bit of Discourse - November 2013
Explore advances in natural language processing and the challenge of creating systems that understand text, with insights on leveraging distributional regularities for effective analysis.
Learning with Marginalized Corrupted Features
Explore machine learning with marginalized corrupted features, a novel approach to enhance generalization and scalability in finite data scenarios. Discover applications in risk minimization and document representation.
Prompting Language Models Improves Quoting from Pre-Training Data - EACL 2024
Explore how "according-to" prompting enhances LLMs' ability to ground responses in factual data, reducing hallucinations and improving task performance across diverse corpora.
Clean Label Poisoning Attacks: From Classification to Speech Recognition
Explore poisoning attacks in speech recognition, from adversarial manipulations to innovative defenses. Uncover strategies, mechanisms, and future research in AI security.
PhD Students Overview - Part 2 - Lecture 3
Explore the research contributions of Dr. Sheth's past Ph.D. students in this comprehensive overview of their work and achievements.
PhD Students Work Overview - Part 1 - Lecture 2
Explore groundbreaking research by Dr. Sheth's former Ph.D. students, gaining insights into innovative AI projects and their impact on the field.