Scaling Financial Time Series Analysis Beyond PCs and Pandas: On-Demand Webinar and FAQ Now Available!

Posted Leave a commentPosted in Apache Spark, Engineering Blog, Financial Services, geospatial data, Koalas, NumPy, Pandas, Pandas UDF, Python Pandas, tick data, tiem series analysis, Time Series, transaction cost analysis

On Oct 9th, 2019, we hosted a live webinar —Scaling Financial Time Series Analysis Beyond PCs and Pandas — with Junta Nakai, Industry Leader Financial Services at Databricks, and Ricardo Portilla, Solution Architect at Databricks. This was a live webinar showcasing the content in this blog- Democratizing Financial Time Series Analysis with Databricks. Please find […]

Simplifying Streaming Stock Analysis using Delta Lake and Apache Spark: On-Demand Webinar and FAQ Now Available!

Posted Leave a commentPosted in ACID Transactions, Apache Spark, Company Blog, Delta Lake, Education, Engineering Blog, Financial Services, Product, Streaming, Structured Streaming, Time Travel, Unified Batch and Streaming Sync

On June 13th, we hosted a live webinar — Simplifying Streaming Stock Analysis using Delta Lake and Apache Spark — with Junta Nakai, Industry Leader – Financial Services at Databricks, John O’Dwyer, Solution Architect at Databricks, and Denny Lee, Technical Product Marketing Manager at Databricks. This is the first webinar in a series of financial […]

Protecting the Securities Market with Predictive Fraud Detection

Posted Leave a commentPosted in Company Blog, Customers, Financial Fraud, Financial Markets, Financial Services, FINRA, Fraud, Fraud Detection, Securities Market

FINRA (Financial Industry Regulatory Authority), a regulatory body charged with protecting the U.S. securities market, spoke at the Spark + AI Summit on how they use Databricks Unified Analytics Platform to analyze up to a 100 billion stock market events per day for fraud detection and prevention. This is a summary of their story from Summit. […]

Detecting Financial Fraud at Scale with Decision Trees and MLflow on  Databricks

Posted Leave a commentPosted in Apache Spark, Company Blog, Decision tree, Education, Engineering Blog, financial, Financial Markets, Financial Services, Fraud, Fraud Detection, Machine Leanring, Machine Learning, Platform

Try this notebook in Databricks Detecting fraudulent patterns at scale is a challenge, no matter the use case. The massive amounts of data to sift through, the complexity of the constantly evolving techniques, and the very small number of actual examples of fraudulent behavior are comparable to finding a needle in a haystack while not […]

A Guide to Financial Services Talks at Spark + AI Summit 2019

Posted Leave a commentPosted in Announcements, Apache Spark, Company Blog, Events, Financial Services, Spark + AI Summit, Summit

The financial services industry is transforming rapidly. Customers today demand more personalized experiences, better returns on their investments and improved protection against fraud. As a result,  every bank, insurance company and institutional investor is turning towards big data and AI to meet these demands and outmaneuver the competition. Spark + AI Summit is the premier […]