
Explore data's journey across enterprises, unraveling its transformations and impact on decision-making, efficiency, and AI innovation through data-centric workflows.

Leveraging Spark and Delta Lake on Databricks to scale mental health support, automate resource provisioning, and enable flexible data pipelines for Crisis Text Line's global operations.

Explore data engineering on Databricks' platform: ingest, transform, and orchestrate data at scale. Learn about streaming pipelines, data quality, and AI-powered tools for real-time insights.

Explore lightweight methods for connecting disparate systems in modern application development. Learn efficient integration techniques for streamlined system connectivity.

Discover query folding's importance for Power Query performance and learn factors that can hinder its effectiveness.

Explore tools for combining data from multiple sources, including Azure Synapse, Spark, and Power BI Data Flows. Learn to select the optimal tool for your data environment.

Learn to analyze relationships between variables using linear regression, covering model interpretation, assumptions, inference, and practical applications.

Master AWS EMR's integration with Glue, Athena, and PySpark while learning essential data transformation techniques and architectural considerations for optimizing your data lake implementation.

Master AWS EMR's core components, including networking, storage types, and integration with AWS Glue and Athena. Learn to execute PySpark jobs and understand data transformation challenges in EMR-based data lakes.

Learn to create, import, export, and manipulate data frames in R. Master essential techniques for data analysis, including subsetting, extending, and transforming datasets.

Learn to build a local SQLite data warehouse by extracting and transforming data from SQL Server and PostgreSQL, simplifying your data analysis workflow with Python.

Explore Clojure's functional approach to data transformation using sequences, reducers, and transducers. Learn how immutable values and persistent collections lead to more efficient, reusable, and bug-free code.

Learn to expertly use pandas groupby for data manipulation, including splitting, combining, applying functions, and creating visualizations from grouped data.

Explore data transformation using R for SurveyMonkey data, covering importing, concatenating, melting, joining, and exporting. Learn practical skills for efficient data analysis and manipulation.

Explore WASM-based data transformation for simplified, high-performance real-time applications and data pipelines. Learn architecture, use cases, and see a live demo with Redpanda.

Explore innovative techniques for identifying fuzzing triggers in IoT companion apps, enabling more effective generation of under-constrained inputs for device testing and security analysis.

Explore innovative logging solutions using WASM plugins for efficient data handling in distributed systems, enabling seamless integration and testing across browser and backend environments.

Learn real-time log processing using Apache NiFi and Kafka. Set up the environment, transform data, create flows, and load data into OpenSearch for effective log analytics.

Learn to create custom internal mobile apps using Retool without mobile development expertise. Build, track, and manage team processes efficiently with this no-code solution for businesses lacking mobile developers.

Explore data engineering with Rust, leveraging Delta Lake, data fusion, and arrow for high-performance pipelines. Learn to ingest, enrich, manage, and export data using Rust's powerful capabilities.

Explore the trade-offs between building custom CICD pipelines for dbt projects versus using dbt Cloud's built-in solutions, focusing on Slim CI and documentation deployment strategies.