Presented By O'Reilly and Cloudera
Make Data Work
December 1–3, 2015 • Singapore

Sponsored conference sessions

Wednesday, December 2

9:25am–9:35am Wednesday, 12/02/2015
Location: Summit 1-2
Rod Smith (IBM Emerging Internet Technologies )
Average rating: ***..
(3.28, 40 ratings)
Big data and analytics continue to be a disruptive business force. Are we entering another phase – real-time digital business transformation, where businesses are realizing that the time to adjust to market and customer opportunities and threats is shrinking quickly? Read more.
9:50am–9:55am Wednesday, 12/02/2015
Location: Summit 1-2
Deepak Ramanathan (SAS Asia Pacific)
Average rating: ***..
(3.15, 40 ratings)
Join this keynote presentation to get tips from the future and hear about key patterns emerging from a wide cross section of corporate and institutional Hadoop journeys. Perhaps they’ll inspire yours. Read more.
10:05am–10:10am Wednesday, 12/02/2015
Location: Summit 1-2
Amit Bansal (Accenture Digital)
Average rating: ***..
(3.18, 33 ratings)
Learn how the intersection of people, data and intelligent machines will have far-reaching impact on the productivity, efficiency and operations of industries around the world as organizations transform to become data-driven, insight-powered enterprises. Read more.
11:00am–11:40am Wednesday, 12/02/2015
Location: 332
Rod Smith (IBM Emerging Internet Technologies )
Average rating: ***..
(3.50, 2 ratings)
Big data and analytics continue to be a disruptive business force. Are we entering another phase – real-time digital business transformation, where businesses are realizing that the time to adjust to market and customer opportunities and threats is shrinking quickly? Read more.
11:00am–11:40am Wednesday, 12/02/2015
Location: 333
Deepak Ramanathan (SAS Asia Pacific)
Average rating: **...
(2.75, 4 ratings)
With Hadoop becoming the chosen Data Platform across enterprises, analytical lifecycles are now being powered with Hadoop being the centrepiece for discovery and deployment. During this talk, attendees will get insights from organisations that are building and deploying thousands of analytical models into their operational environments. Read more.
11:50am–12:30pm Wednesday, 12/02/2015
Location: 332
Thomas Beaujard (Accenture Digital), Tom Ridsdill-Smith (Woodside)
Average rating: ***..
(3.40, 5 ratings)
In 2015 Woodside is working with Accenture to deliver predictive analytics to Woodside’s LNG operations. By combining Accenture’s expertise in data analytics and Woodside’s leading operational experience in oil and gas, valuable, actionable insights have been discovered throughout 2015. Read more.
11:50am–12:30pm Wednesday, 12/02/2015
Location: 333
Paul Scott-Murphy (WANdisco)
Average rating: ***..
(3.00, 2 ratings)
Hadoop lacks a mechanism to extend the distributed file system beyond the confines of a single cluster. Done right, active-active consensus can guarantee consistency of replicated file system changes regardless of Hadoop versions, distributions and communication latency. Find out how to perform selective data replication for cluster migration, disaster recovery, multi-site ingest, backup and more. Read more.
1:30pm–2:10pm Wednesday, 12/02/2015
Location: 332
Average rating: ***..
(3.90, 10 ratings)
n this practical demonstration, participants will see how they can perform a simple, but meaningful analysis of social sentiment data using freely available and easy to deploy tools. Participants will be equipped with the download links, scripts, and complete step-by-step walkthrough of the analysis from start to finish. Read more.
1:30pm–2:10pm Wednesday, 12/02/2015
Location: 333
Joanna Schloss (Dell Software)
Average rating: ***..
(3.33, 3 ratings)
Join us to hear how Big Data and Analytics Subject Matter Expert, Joanna Schloss, envisions emerging technologies shaping the future of mission critical initiatives such as security and analytics. How will in-memory, big data, and IoT shape and guide businesses with deployment and maintenance of key capabilities? Read more.
2:20pm–3:00pm Wednesday, 12/02/2015
Location: 332
Join us as we review the Big Data landscape and reflect on Big Data lessons being learned in enterprise over the last few years and how these organisations are avoiding their Big Data environments becoming unmanageable by using simplex management for deployment, administration, monitoring and reporting no matter how much the environment scales. Read more.
2:20pm–3:00pm Wednesday, 12/02/2015
Location: 333
Ted Dunning (MapR)
Average rating: ****.
(4.00, 1 rating)
Flexible data model. SQL compatibility. Unlimited scale. Nearly all data systems require that you pick at most one or two of three. You can now have them all. I will show how a real-world relational database can be massively simplified using document structure, how that database can be queried using SQL and how it can scale to the trillion-row, TB-scale required by modern applications. Read more.
4:00pm–4:40pm Wednesday, 12/02/2015
Location: 332
SeongHwa Ahn (SK telecom), jisung kim (SK Telecom)
Average rating: ****.
(4.67, 3 ratings)
With Big Data system using Hadoop platform, we resolved the problem that make slow down the performance with existing legacy system based on RDBMS. And we set up real-time pattern analysis system using Spark. It provides easy and quick solutions to hands-on worker to monitor and diagnose manufacturing processes rather than traditional legacy system based on RDBMS. Read more.
4:00pm–4:40pm Wednesday, 12/02/2015
Location: 333
Neil Mendelson (Oracle)
Average rating: ***..
(3.00, 3 ratings)
Companies who are successful with big data need to be analytics-driven. During this session, Neil will look at new analytics capabilities that are essential for big data to deliver results, and discuss how to maximize the time you spend providing differentiation for your organization. This session will also cover some common big data use cases in both industry and government. Read more.
4:50pm–5:30pm Wednesday, 12/02/2015
Location: 333
Nirmal Ranganathan (Rackspace)
Average rating: ****.
(4.00, 2 ratings)
In this talk, we will discuss how a streamlined Spark stack including Tachyon and Zeppelin can solve both the need for speed and reduced development time. We will walk thru a sample use case that utilizes 20 years of data to look for insights and create a predictive model from the dataset. Read more.

Thursday, December 3

9:15am–9:25am Thursday, 12/03/2015
Location: Summit 1-2
Ivan Teh (Fusionex)
Average rating: ***..
(3.09, 35 ratings)
If you could simulate the results of your business decisions, wouldn't that change the way you manage your business? The availability of big data solutions today introduces new management principles, opportunities as well as challenges. Read more.
9:25am–9:35am Thursday, 12/03/2015
Location: Summit 1-2
Sanqi Li (Huawei)
Average rating: ***..
(3.41, 32 ratings)
With the recent advances of big data and machine learning technologies, there has never been a better time for developing telecom data products. However there are various challenges associated with researching and developing telecom data products at scale. Read more.
9:35am–9:40am Thursday, 12/03/2015
Location: Summit 1-2
Average rating: ***..
(3.27, 30 ratings)
The high volume, velocity, variety and veracity of big data have been pushing for more comprehensive solutions and services to enable decision-making and insight discovery across business market segments. Ziya Ma, General Manager of Big Data Software Technologies in Intel's Software and Services Group, will discuss Intel’s software enabling role for making this possible and easier. Read more.
11:00am–11:40am Thursday, 12/03/2015
Location: 332
Isaac Jacob (Fusionex)
Average rating: ***..
(3.67, 3 ratings)
As organization strive to survive and breakthrough other markets, discover how Big Data Analytics can be the key to unlock new business opportunities or simply exploit a company’s full potential in its own competitive space. Companies are increasingly swimming in more and more data so developing the abilities to breathe data will be crucial to stay ahead of competition. Read more.
11:00am–11:40am Thursday, 12/03/2015
Location: 333
Avind Shrivastava (Hewlett Packard Enterprise)
Average rating: *****
(5.00, 1 rating)
How different Industry Verticals are using HPE Platform for Hadoop and Big Data Analytics. The session Covers various use cases across Industry Verticals which are implemented by customer's across APJ and why HPE has a Unique Value Proposition for Hadoop Solutions. Read more.
11:50am–12:30pm Thursday, 12/03/2015
Location: 332
Average rating: ****.
(4.50, 4 ratings)
In this talk, we will present our efforts on building large scale distributed ML on Apache Spark with many "web-scale" companies, including very complex and advanced analytics applications / algorithms (e.g., topic modelling, deep neural network, etc.), as well as massively scalable learning system/platform leveraging both application and infrastructure specific optimizations. Read more.
11:50am–12:30pm Thursday, 12/03/2015
Location: 333
Paul Marriott (SAP Asia Pacific Japan)
Average rating: ****.
(4.00, 1 rating)
SAP HANA Vora is a new in-memory query engine that leverages and extends the Apache Spark execution framework to provide enriched interactive analytics on Hadoop. Read more.
1:30pm–2:10pm Thursday, 12/03/2015
Location: 332
Jeff Markham (Hortonworks)
Average rating: ****.
(4.33, 3 ratings)
Attend this session to: *Learn about the key drivers behind the shift to Hadoop based platforms *Understand the common steps in the journey to adopting Hadoop *Hear real-word case studies of business transformation using Hadoop *Get insight into the core components that make up Open Enterprise Hadoop Read more.
1:30pm–2:10pm Thursday, 12/03/2015
Location: 333
Nikhil Joshi (EMC, Advanced Software Division), Priya Lakshminarayanan (EMC Corporation)
Average rating: ****.
(4.00, 3 ratings)
This session focuses on strategies and technologies you can use to build a global Hadoop cloud with geo-distributed access and protection for analytics in various use-cases like IoT - handling billions of small files or multi-terabyte files in the same system. Read more.