
Explore the world of data streaming through this 39-minute conference talk from Devoxx. Dive into Confluent's Data Streaming Platform and discover how to Stream, Connect, Govern, and Process large volumes of information effectively. Learn about the revol…

Explore key MLOps concepts, deployment readiness, model monitoring strategies, and how Dataiku streamlines MLOps processes for efficient AI industrialization.

Learn to create dynamic self-service dashboards combining Dynatrace RUM, Grail, and external data. Master dashboard structuring, data querying, and variable usage for effective visualization.

Build custom Dynatrace apps in minutes, leveraging AppEngine to automate workflows, integrate external data, and gain insights. Access developer resources for accelerated learning.

Explore techniques for integrating genome-wide association studies with functional data, enhancing understanding of complex trait genetics and disease mechanisms.

Explore generative AI applications in single-cell response modeling, covering data integration, representation learning, and multiomics analysis for biomedical insights.

Explore multi-omics variational autoencoding for integrating complex biological datasets. Learn about MOVE pipeline, data preprocessing, model optimization, and approaches for determining associations between omics variables and categorical labels.

Integrate AI seamlessly with existing databases, bypassing complex MLOps processes. Learn efficient techniques for enhancing data infrastructure with artificial intelligence.

Explore a foundation application linking spatial transcriptomics to clinical images in cardiovascular research, enhancing understanding of molecular mechanisms in heart disease.

Comprehensive exploration of cancer genomics, covering databases, sequencing analysis, gene expression, mutations, and cloud-based bioinformatics tools for reproducible research and big data integration.

Explore key bioinformatics concepts and tools for analyzing cancer genomic data, including mutation detection, gene expression, and data integration techniques.

Learn key concepts and tools for metabolomics analysis, including software, databases, statistical methods, and data integration techniques for advancing research in this field.

Explore Bgee, a database for comparing gene expression across animal species. Learn data integration, tools, and applications in cancer, agriculture, and evolutionary biology.

Learn to integrate Rhino's powerful 3D modeling capabilities with Revit, exploring topics from basic element transfer to advanced generative design and environmental analysis techniques.

Explore banking data analysis with Hadoop, covering data integration, table creation, content analysis, and archival in this comprehensive big data case study.

Learn to process event streams with ksqlDB's SQL syntax. Filter, transform, and query data streams, understand streams vs tables, use utility functions, and integrate with Kafka Connect. Hands-on exercises included.

Learn Apache Kafka® essentials, including its architecture, use cases, and integration. Explore the Confluent Platform and gain practical insights for implementing Kafka in your environment.

Explore innovative data integration, ethics, and methodological challenges in social science research, from biological data to online surveys and genetic studies.

Explore Excel's enhanced extensibility options, including custom data types and functions. Learn to create add-ins with images, entities, arrays, and formatted values, backed by custom data sources.

Securely transfer data between SaaS apps and AWS services without coding. Learn to integrate Salesforce, Google Analytics, Slack, Zendesk, and more with AWS, including ML and automation features.

Learn to create custom business apps without coding using Microsoft Power Apps. Connect to various data sources, design interfaces, and integrate with SharePoint and Power BI for powerful, tailored solutions.