From big data analytics to the cloud, see how we’re protecting investors.
How FINRA created a managed data lake that enables discovery on petabytes of capital markets' data
FINRA’s advanced analytics platform provides a foundation for machine learning at scale
FINRA empowers its data scientists with a secure data science platform and tools they need to be effective
Bringing Business and Technology Resources Together to Create Innovative Solutions
Jared Lander of Lander Analytics Opens FINRA’s 2017 Createathon
Ranga Rajagopal Outlines FINRA’s Big Data Processing Using S3, EMR, and Lambda
Kym Weiland and Stephen Mele Talk About Automating Security Compliance with FINRA’s Gatekeeper
Todd Griffiths Describes FINRA’s Innovative Use of Amazon Redshift to Analyze Trillions of Records
Scott Donaldson Explains How FINRA Leverages AWS Data Management Services
John Brady Joins a Panel to Discuss FINRA’s Sophisticated Cybersecurity Operation in the Cloud
Saman Michael Far Speaks About FINRA’s “Manhattan Project” to Transform its Culture Through Innovation
FINRA technologists leveraged agile to help business analyze employee trades.
Tigran Khrimian shares how we completed a 2.5-year migration and complete re-architecture of our big data platforms.
How We Align Billions of Ordered Events with Spark on EC2
AWS re:Invent 2016: Case Study: Analytics Without Limits.
Migrating using RDS to meet strict uptime SLAs and data security requirements.
Lessons learned when building a self-service, curated data science platform on AWS
How we made our system faster, safer, and more resilient on AWS.
We created tools to make work more efficient for Regulatory Coordinators.
One manager returns to code and learns tools to improve his work.
Now you can mimic classes found in other languages but there's a catch.
From machine learning to text analysis, here are a few data driven ideas that came out of our hackathon.
From entity extraction to document summaries, we're making more data accessible.
You can have test that provides quick feedback, resilience against brittleness, and consistent results.
Securely Upload Large Files to S3
Skip job fails with these tips for reliable transformations
From 50 ad hoc queries to a unified dashboard
A new way to improve QA tools for FINRA
An Interview with Raghu Raman
Test your Hive scripts inside your favorite IDE.
What happens when music and hackathons collide?
Self service in the Cloud
How we created a streamlined visual focused service
Enjoy auto scaling and integrated authentication without expensive hosting costs.
Improving analysts access to critical analytics.
An honest view of FINRA's software development and testing.
Harness gson to improve your code
Faster processing for larger systems
Gaining transparency into cloud computing.
Our data is growing, but we aren't slowing down.
Strata+Hadoop: Lessons from a real world case study
Data Mining Bipartite Graphs
An Interview with Karl Brock
Jumpstarting cloud adoption at FINRA
Hosting hackathons is a lot of work. Why you should do it anyways.
By Daniel Koo
Data as a dialogue
6 Things You Need To Know
Faster data, easier analytics
By Max Seo
How We Created Diver
The cloud solution for big data
By Pengyu Wang
Best practices for an agile world.
Reduce costs, Boost Productivity
Our open source solution
Stand out from the crowd
What we learned transitioning to Hadoop and the Cloud
How to Use it for Managing the Jenkins Ecosystem
Our Ongoing Move to Continuous Delivery
FINRA Sponsors BitCamp Hackathon
The Whole Package
Discover why the best and brightest technologists are coming to FINRA
How We Automated Tracking of Open Source Code
FINRA CIO Recognized by Institutional Investor
Mobile App Triumphant
Blast Through Testing Bottlenecks
Sweeps two Data Impact categories
Winners speed setup of FINRA’s JTAF-EWD
Navigating an Ocean of Data
FINRA delivers keynote
Duo presents Mock Service Layer (MSL)