
Master Azure Data Factory for serverless data integration and transformation, with code-free UI and SSIS compatibility.

Explore data lake evolution, cloud-native trends, and efficient data retrieval for big data analytics and AI workloads. Gain insights into I/O challenges and success stories in modern data platforms.

Leverage AI in product strategy effectively. Learn to identify genuine AI opportunities, avoid pitfalls, and align capabilities with product goals for successful innovation.

Explore Data Reliability Engineering, borrowing from SRE. Learn to minimize downtime, leverage metadata, and identify system failures for robust data systems.

Explore AI-driven insights into India's social landscape, transforming anthropological surveys into actionable data for understanding cultural evolution.

Explore AI's transformative potential, its impact on industries, and strategies for leveraging it as a competitive advantage in the age of Intelligence as a Service.

Explore a data migration journey from legacy warehouse to modern lakehouse. Gain insights on overcoming challenges and achieving seamless transitions for your organization.

Explore lolpop, an open-source framework bridging data science and ML engineering. Learn how it enhances collaboration, boosts productivity, and revolutionizes machine learning workflows across diverse scenarios.

Explore high-performance data processing in Python using Rust modules. Create Rust modules with Python bindings and discover why Rust is replacing C in data libraries.

Explore mixed-latency data platforms, manage data freshness, and tackle pipeline bottlenecks. Learn to merge batch and low-latency processing while maintaining explicit lineage for reliable data products.

Explore academia's role in GenAI, focusing on large-scale dataset management. Learn about AI-driven data cleaning, data-centric AI, legal challenges, and synthetic dataset potential in this insightful talk.

Discover strategies for achieving exceptional data correctness in financial technology, including infrastructure design, quality checks, and observability platforms.

Discover how an ad-hoc layer empowers data analysts to swiftly answer questions, iterate with stakeholders, and deliver analyses, optimizing resource allocation for production processes.

Explore outdated data tools and practices to eliminate, enhancing project efficiency and data engineering satisfaction. Gain insights on modernizing data infrastructure for improved outcomes.

Explore data contracts using Protobuf for event definitions, governing production, and automating DBT models in Whatnot's modern data stack processing millions of events daily.

Explore DataOps practices for efficient dashboard development. Learn code-based approaches to streamline BI processes, improve accuracy, and enhance the analytics lifecycle at Glean.

Discover strategies for seamlessly integrating data professionals into app development workflows. Learn from common pitfalls and gain insights on effective collaboration between data scientists, engineers, and traditional dev teams.

Explore the potential of natural language interfaces for data, their value in modern data stacks, and associated challenges. Gain insights from real-world customer experiences in AI-driven data interaction.

Explore data catalog creation, metadata utilization, and self-serve data culture. Learn to navigate large datasets, distinguish trustworthy data, and leverage query logs for effective data management.

Explore why the Big Data era is ending and learn to focus on data utilization for better decision-making, drawing insights from industry analysis and expert experience.

Explore key aspects of a PhD dissertation, focusing on research methodologies, data analysis, and presentation techniques for academic success.