Hadoop Safari: Hunting for Vulnerabilities
Explore Hadoop security vulnerabilities, attack vectors, and tools for accessing data in Big Data clusters. Learn about design flaws and practical techniques to exploit weaknesses in Hadoop infrastructure.
Democratizing AI with Sparklyr
Learn to leverage Sparklyr for scalable machine learning and AI applications, empowering data scientists to work efficiently with big data in R.
Batch vs Stream Processing - How to Reduce Complexity
Explore advantages and disadvantages of batch vs stream processing, and learn how to reduce complexity in batch processes using stream inline data enrichment techniques.
Bringing Transactionality to the Streaming Ecosystem - Webinar
Explore modern streaming data platforms for real-time transaction processing, focusing on durability, scalability, and performance in critical data paths. Learn from Alpaca's experience re-engineering their order management system.
An Intro to Presto, the Open Source Distributed SQL Query Engine for the Data Lake
Explore Presto, an open-source distributed SQL query engine for data lakes. Learn its architecture, use cases, connectors, and performance benchmarking. Discover how Presto enables fast, scalable analytics on diverse data sources.
Hail Hydrate - From Stream to Lake Using Open Source
Explore open-source tools for efficient data streaming and lake management, enhancing your skills in modern data architecture and processing techniques.
Simplifying Testing of Spark Applications
Learn techniques to simplify testing Spark applications, covering Python UDFs, Pandas UDFs, and functional APIs. Explore practical scenarios and demos for efficient data processing and analysis.
The Pace of Innovation in Delta Lake
Explore the rapid advancements and innovative features of Delta Lake, enhancing data reliability and performance in modern data architectures.
Delta Lake - Diving into Data Lakes Without the Downsides
Explore Delta Lake's innovative approach to data management, offering enhanced reliability and performance for large-scale analytics without traditional data lake drawbacks.
Real-time Trade Data Processing and Machine Learning at Giga-Scale with Hazelcast and FINOS Perspective
Explore scalable real-time trade data processing using Hazelcast and FINOS Perspective. Learn to architect high-performance applications combining streaming data, reference data, and machine learning for front and back office use-cases.
Bias in Big Data and Artificial Intelligence - Protecting Against Algorithmic Discrimination
Explore the impact of algorithmic bias in AI and big data on marginalized communities, discussing ethical standards, regulation, and strategies for protecting against discrimination.
Machine Learning and Apache Spark: A Dynamic Duo
Explore how Apache Spark and machine learning revolutionize industries, enabling data-driven decisions and innovative products. Learn about top use cases, market dynamics, and IBM's commitment to Spark.
Analytics and Graph Traversal with Solr
Explore Solr's advanced analytics capabilities, including faceted search, streaming expressions, and graph traversal, with insights on API selection for different scenarios.
Modern Techniques for Better Search Relevance in Solr
Explore modern search relevance techniques beyond BM25, including machine learning and NLP. Learn to measure, fine-tune, and implement advanced methods like learning to rank and query intent classification in Apache Solr.
Building an Open Source Streaming Analytics Stack with Kafka and Druid
Learn to build a robust streaming analytics stack using Kafka and Druid for real-time data processing, flexible querying, and maintaining data integrity in high-volume environments.
Building Next-Generation Audience Targeting and Analytics at NBCUniversal
Explore NBCUniversal's data-driven approach to audience targeting using Apache Mesos, DC/OS, Spark, Kafka, and Cassandra for real-time analytics and personalized data services.
Accelerating Spark Workloads in an Apache Mesos Environment with Alluxio
Learn how Alluxio enhances Spark and Mesos performance by providing memory-speed data access across diverse storage systems, optimizing big data processing and enabling new workloads.
The Internet: Gift or Curse? - Exploring Technology's Impact on Society
Exploring the impact of internet and connected technologies on human relationships, behavior, and daily life. Discusses potential benefits and challenges of big data and connectivity across various domains.
Building Robust Streaming Data Pipelines with Apache Spark
Learn to build robust streaming data pipelines using Apache Spark, Kafka, and Camel. Explore ETL challenges, data management, and lessons from running these technologies in Docker.
Restoring the American Dream Through Big Data
Exploring how big data can revitalize the American Dream, addressing economic mobility challenges and proposing data-driven solutions for societal improvement.
Spotlight on Emerging Data Science Workspaces and Spark as Development Levers
Explore how developers leverage Apache Spark and collaborative workspaces to build machine learning solutions, revolutionizing data applications and digital innovation.