Analyzing and Improving the Scalability of In-Memory Indices for Managed Search Engines
Explore scalability improvements for in-memory indices in managed search engines, comparing compressed and uncompressed indices on DRAM and NVM, and analyzing performance trade-offs.
Real-time Fraud Detection: Challenges and Solutions
Explore real-time fraud detection challenges and solutions using machine learning and the Hazelcast Open Source platform for rapid, scalable decision-making.
The Future of Hazelcast - Cloud-Native Revolution
Explore Hazelcast's cloud-native evolution, from caching to advanced stream processing, and discover upcoming features in this insightful tech talk.
Understanding Probabilistic Data Structures with UFO Sightings
Explore probabilistic data structures through UFO sightings analysis. Learn about Bloom Filters, MinHash, and Top-K, and their applications in processing large datasets efficiently.
Enhancing Flexibility and Productivity with Access Patterns and Storage-Agnostic Abstractions
Explore a platform bridging data management gaps, offering storage-agnostic abstractions and ACID guarantees across streaming, batch, and random-access storages for flexible, consistent data handling.
Observability is More than Logs, Metrics and Traces
Explore observability beyond logs, metrics, and traces. Learn holistic system monitoring approaches, creating richer events aligned with business needs, and adding value through comprehensive system understanding.
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.
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.
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.
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.
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.
Building Real-time Pulsar Apps on Kubernetes
Develop real-time cloud native streaming apps using Java, Golang, Python, and Apache NiFi with Apache Pulsar on Kubernetes.
Streaming Aggregation on Cloud Scale Telemetry
Explore streaming aggregation techniques for cloud-scale telemetry, enhancing system observability and performance monitoring in large-scale distributed environments.
Business Continuity and Disaster Recovery on Databricks - Part 1: Introduction and Overview
Explore business continuity and disaster recovery concepts for data and AI platforms, focusing on Databricks' best practices and planning strategies.
Learning Agents for Games using Databricks
Accelerate reinforcement learning for games with Databricks' advanced analytics, collaborative tools, and rapid deployment capabilities.
Extroverted Sublinear Algorithms
Explore extroverted sublinear algorithms with Google Brain researcher Ilya Mironov, delving into innovative computational techniques for efficient data processing and analysis.
Sublinear-Time Algorithms in Learning
Explore cutting-edge sublinear algorithms for efficient machine learning, focusing on extroverted approaches and their applications in large-scale data analysis.
Applications of Sub-linear Algorithms in Other Fields
Explore how sub-linear algorithms impact diverse fields, enhancing efficiency and scalability in data analysis and problem-solving across disciplines.
The Future of Computing: AI Technologies in the Exascale Era
Explore AI technologies in the exascale era, examining their impact on computing's future and potential advancements in computational power and capabilities.