From BI to Lakehouse Part 2

From BI to Lakehouse Part 2

Considering shifting gears into Spark Data Engineering, BI, and Lakehouses? Watch this fun session with Simon and Denny Lee as they continues to chat through... Details
What’s New in MLflow? Accelerating the Machine Learning Lifecycle

What’s New in MLflow? Accelerating the Machine Learning Lifecycle

In the last several months, MLflow has introduced significant platform enhancements that simplify machine learning lifecycle management. Expanded autologging capabilities, including a new integration with... Details
Taking Deep Learning to Production with MLflow & RedisAI

Taking Deep Learning to Production with MLflow & RedisAI

Taking deep learning models to production and doing so reliably is one of the next frontiers of MLOps. With the advent of Redis modules and... Details
Automate Data Pipelines with PySpark SQL

Automate Data Pipelines with PySpark SQL

Are you struggling with your cloud data management costs and architecture? Are you looking for ways to accelerate your data engineering capacity? By leveraging an... Details
SQL Server and BI to Delta Lake and Lakehouses

SQL Server and BI to Delta Lake and Lakehouses

Considering shifting gears into Spark Data Engineering? Join this fun session with Simon Whiteley (@mrsiwhiteley) and Denny Lee (@dennylee) as they chat through their meandering... Details
Encoding multi-layered Vega-Lite COVID-19 Geodata visualizations

Encoding multi-layered Vega-Lite COVID-19 Geodata visualizations

Visualizations are a powerful tool for communicating results to end-users and stakeholders. Their development and life-cycle management are no less challenging than the underlying processes... Details
Making Apache Spark Better with Delta Lake

Making Apache Spark Better with Delta Lake

Join Michael Armbrust, head of Delta Lake engineering team, to learn about how his team built upon Apache Spark to bring ACID transactions and other... Details
Scaling Up AI Research to Production with PyTorch and MLFlow

Scaling Up AI Research to Production with PyTorch and MLFlow

PyTorch, the popular open-source ML framework, has continued to evolve rapidly since the introduction of PyTorch 1.0, which brought an accelerated workflow from research to... Details
Healthcare Claim Reimbursement using Apache Spark

Healthcare Claim Reimbursement using Apache Spark

Here’s an interesting video on using Databricks to increase the efficiency of healthcare claim reimbursements. Details
Scalable Acceleration of XGBoost Training on Apache Spark GPU Clusters

Scalable Acceleration of XGBoost Training on Apache Spark GPU Clusters

XGBoost is one of the most popular machine learning library, and its Spark integration enables distributed training on a cluster of servers. This talk will... Details