San Jose DataWorks Summit 2018 is getting closer, and if you are planning to attend, you must have already started working out your schedule. With around 170 sessions at the event this year, there is a great deal to choose from.
The sessions this year have been divided into 8 key tracks, with dedicated business and technology tracks. Since there are multiple sessions in each time block, you need to choose the ones that cater to your area of interest and are most beneficial. After all, you’ve invested time and money to be at this conference, so you should try and get the best out of it.
If you want to learn from the success of others, there are several sessions at the event where business leaders will share their Big Data journeys and the best practices they follow. These sessions will not only provide practical solutions to real-life problems but also throw light on how these innovators used technology to overcome their business and data challenges.
Here are our recommendations on some key success stories that you should listen to:-
Hilton’s enterprise data journey
Tuesday, June 19 | 11:00 AM – 11:40 AM
Big Data Analytics has transformed the way hotels and the hospitality industry operates. This session will help you discover how Hilton leverages data and analytics to drive growth and customer satisfaction. In his talk, Sudhir Menon, Vice President of Enterprise Information Management, will discuss Hilton’s Big Data journey and the roadmap they followed to create data as an enterprise asset using HortonWorks Hadoop platform.
Migrating Analytics to the Cloud at Fannie Mae
Tuesday, June 19 | 2:50 PM – 3:30 PM
As more and more organizations plan to leverage cloud technology for data analytics, this session is going to be interesting. The insights from Fannie Mae’s journey of how they migrated from legacy data warehouse to a hybrid cloud-based big data solution using automation, will help you plan your journey.
BI on Big Data with instant response times at Verizon
Wednesday, June 20 | 11:50 AM – 12:30 PM
This session by Arun Jinde from Verizon will take you through the technology they use to conduct instant, self-service analysis on Hadoop data. It will help you understand some of the key challenges organizations face in Big Data analytics and how they can be overcome to build a truly scalable platform.
Big data at United Airlines
Wednesday, June 20 | 2:00 PM – 2:40 PM
If you want to learn how you can use open source technologies to meet your business goals of scalability and performance, this session is a must-attend. The speakers discuss how United Airlines integrated Apache Hadoop with emerging open source frameworks to solve their business problems.
How a major bank leveraged Apache Spark and StreamAnalytix to rapidly re-build their Insider Threat Detection application
Wednesday, June 20 | 4:00 PM – 4:40 PM
This talk provides both, business as well as a technical overview, of the methodology adopted by the bank to build a scalable and reliable Insider Threat Detection system using Apache Spark technology. It focuses on the solution used to speed up the application development process and the lessons learned during the journey.
Achieving a 360 degree view of manufacturing
Wednesday, June 20 | 4:00 PM – 4:40 PM
Integrating real-time machine data from different sources with data from legacy data warehouses to achieve action-driven analytics is not always easy, especially when you can’t figure out where to start. This session will take you through one such success story where an open source platform was used to improve factory operations and cut down costs.
This list is not exhaustive, and there are many more sessions to choose from. You can check the detailed session schedule.
No matter which sessions you choose, this summit is going to be a treat for all technology enthusiasts.