Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY

Schedule: Expo Hall sessions

11:20am–12:00pm Wednesday, 09/12/2018
Location: Expo Hall Level: Non-technical
Secondary topics:  Data Integration and Data Pipelines, Financial Services
Usama Fayyad (Open Insights & OODA Health, Inc.), Troels Oerting (WEF Global Cybersecurity Center)
Average rating: ***..
(3.00, 1 rating)
Usama Fayyad and Troels Oerting share outcomes and lessons learned from building and deploying a global data fusion, incident analysis/visualization, and effective cybersecurity defense based on big data and AI at a major EU bank, in collaboration with several financial services institutions. Read more.
1:15pm–1:55pm Wednesday, 09/12/2018
Location: Expo Hall Level: Beginner
Jason Wang (Cloudera), Suraj Acharya (Cloudera), Tony Wu (Cloudera)
The largest infrastructure paradigm change of the 21st century is the shift to the cloud. Companies now face the difficult decision of which cloud to go with. This decision is not just financial and in many cases rests on the underlying infrastructure. Jason Wang, Suraj Acharya, and Tony Wu compare the relative strengths and weaknesses of AWS and Azure. Read more.
2:05pm–2:45pm Wednesday, 09/12/2018
Location: Expo Hall
Secondary topics:  Model lifecycle management
Mani Parkhe (Databricks), Andrew Chen (Databricks)
Successfully building and deploying a machine learning model is difficult to do once. Enabling other data scientists to reproduce your pipeline, compare the results of different versions, track what's running where, and redeploy and rollback updated models is much harder. Mani Parkhe and Andrew Chen offer an overview of MLflow—a new open source project from Databricks that simplifies this process. Read more.
2:55pm–3:35pm Wednesday, 09/12/2018
Location: Expo Hall Level: Intermediate
Michael Freedman (TimescaleDB)
Michael Freedman explains how to leverage Postgres for high-volume time series workloads using TimescaleDB, an open source time series database built as a Postgres plug-in. Michael covers the general architectural design principles and new time series data management features, including adaptive time partitioning and near-real-time continuous aggregations. Read more.
4:35pm–5:15pm Wednesday, 09/12/2018
Location: Expo Hall Level: Intermediate
Secondary topics:  Blockchain and decentralization, Data Platforms
Dan Harple (Context Labs)
Dan Harple explains how distributed systems are being influenced by and are influencing operational, financial, and social impact requirements of a wide range of enterprises and how trust in these distributed systems is being challenged, elevated, and resolved by engineers and architects today. Read more.
5:25pm–6:05pm Wednesday, 09/12/2018
Location: Expo Hall
Secondary topics:  Machine Learning in the enterprise, Text and Language processing and analysis
Mike Tung (Diffbot)
Mike Tung offers an overview of available open source and commercial knowledge graphs and explains how consumer and business applications are already taking advantage of them to provide intelligent experiences and enhanced business efficiency. Mike then discusses what's coming in the future. Read more.
11:20am–12:00pm Thursday, 09/13/2018
Location: Expo Hall Level: Intermediate
Secondary topics:  Data Platforms
Michelle Ufford (Netflix)
Average rating: ****.
(4.40, 5 ratings)
Michelle Ufford shares some of the cool things Netflix is doing with data and the big bets the company is making on data infrastructure, covering workflow orchestration, machine learning, interactive notebooks, centralized alerting, event-based processing, platform intelligence, and more. Read more.
1:10pm–1:50pm Thursday, 09/13/2018
Location: Expo Hall Level: Beginner
Umur Cubukcu (Citus Data)
PostgreSQL is often regarded as the world’s most advanced open source database—and it’s on fire. Umur Cubukcu moves beyond the typical list of features in the next release to explore why so many new projects “just use Postgres” as their system of record (or system of engagement) at scale. Along the way, you’ll learn how PostgreSQL’s extension APIs are fueling innovations in relational databases. Read more.
2:00pm–2:40pm Thursday, 09/13/2018
Location: Expo Hall Level: Intermediate
Secondary topics:  Model lifecycle management
Chris Fregly (PipelineAI)
Average rating: ***..
(3.50, 2 ratings)
Chris Fregly details a full-featured, open source end-to-end TensorFlow model training and deployment system, using the latest advancements with Kubernetes, TensorFlow, and GPUs. Read more.