Sep 23–26, 2019

Schedule: Business Analytics and Visualization sessions

9:00am–5:00pm Tuesday, September 24, 2019

Location: 1A 08

Findata Day

Alistair Croll (Solve For Interesting), Jennifer Yang (Wells Fargo ECS), Brian Lynch (TD Bank Group), Dan Barker (RSA Security), Rochelle March (Trucost), Catherine Gu (Stanford University), Karan Jaswal (Cinchy), Moto Tohda (Tokyo Century (USA)), Viridiana Lourdes (Ayasdi), Peter Swartz (Altana Trade), Mikheil Nadareishvili (TBC Bank)

From analyzing risk and detecting fraud to predicting payments and improving customer experience, take a deep dive into the ways data technologies are transforming the financial industry. Read more.

9:00am–5:00pm Tuesday, September 24, 2019

Location: 1A 06

Data Case Studies

David Boyle (Audience Strategies), Richard Evans (Statistics Canada), Rosaria Silipo (KNIME), Leah Xu (Spotify), Arup Nanda (Capital One), Victoriya Kalmanovich (Navy), Tusharadri Mukherjee (Lenovo), David Boyle (Audience Strategies), Richard Evans (Statistics Canada), Leah Xu (Spotify), Victoriya Kalmanovich (Navy), Moise Convolbo (Rakuten), Martin Mendez-Costabel (Bayer Crop Science), gloria macia (F. Hoffmann-La Roche AG), Gwen Campbell (Revibe Technologies), Moise Convolbo (Rakuten), Muhammed Idris (Capria VC | TeraCrunch)

From banking to biotech, retail to government, every business sector is changing in the face of abundant data. Get better at defining business problems and applying data solutions at Strata. Read more.

2:05pm–2:45pm Wednesday, September 25, 2019

Location: 1E 09

Building a best-in-class data lake on AWS and Azure

Secondary topics: BI, Interactive Analytics and Visualization, Cloud Platforms and SaaS, Data Management and Storage

Tomer Shiran (Dremio), Jacques Nadeau (Dremio)

Data lakes have become a key ingredient in the data architecture of most companies. In the cloud, object storage systems such as S3 and ADLS make it easier than ever to operate a data lake. Tomer Shiran and Jacques Nadeau explain how you can build best-in-class data lakes in the cloud, leveraging open source technologies and the cloud's elasticity to run and optimize workloads simultaneously. Read more.

4:35pm–5:15pm Wednesday, September 25, 2019

Location: 1E 14

Supercharging Elasticsearch for extended Knowledge Graph use cases

Secondary topics: BI, Interactive Analytics and Visualization, Data Management and Storage, Deep dive into specific tools, platforms, or frameworks

Giovanni Tummarello (Siren)

Elasticsearch (ES) allows extremely quick search and drilldowns on large amounts of semistructured data. Elasticsearch, however, does not have relational join capabilities. Giovanni Tummarello examines a plug-in for ES that adds cluster distributed joins and demonstrates how it enables an exciting array of use cases dealing with interconnected or "Knowledge Graph" enterprise data. Read more.

1:15pm–1:55pm Thursday, September 26, 2019

Location: 1E 09

Intelligent design patterns for cloud-based analytics and BI

Secondary topics: BI, Interactive Analytics and Visualization

Shant Hovsepian (Arcadia Data)

With cloud object storage (e.g., S3, ADLS) one expects business intelligence (BI) applications to benefit from the scale of data and real-time analytics. However, traditional BI in the cloud surfaces nonobvious challenges. Shant Hovsepian examines service-oriented cloud design (storage, compute, catalog, security, SQL) and how native cloud BI provides analytic depth, low cost, and performance. Read more.

2:05pm–2:45pm Thursday, September 26, 2019

Location: 1E 14

ThirdEye: LinkedIn’s business-wide monitoring platform

Secondary topics: BI, Interactive Analytics and Visualization, Media and Advertising, Temporal data and time-series analytics

Akshay Rai (Linkedin)

Failures or issues in a product or service can negatively affect the business. Detecting issues in advance and recovering from them is crucial to keeping the business alive. Join Akshay Rai to learn more about LinkedIn's next-generation open source monitoring platform, an integrated solution for real-time alerting and collaborative analysis. Read more.