IBM PureData System for Analytics to IBM dashDB in 60 Minutes
Session ID: DMT-1036 (link) | 2016-10-27 | 09:00 AM - 09:45 AM
Come hear tips and tricks, as well as challenges and workarounds, to quickly and efficiently migrate IBM InfoSphere DataStage and IBM Cognos BI projects from IBM PureData System for Analytics (formerly Netezza) to IBM dashDB.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Oleg Nevedrov, Baltic Quantum Data Systems LLC
DB2 Security: From the Datacenter to the Cloud
Session ID: DMT-1038 (link) | 2016-10-27 | 10:00 AM - 10:45 AM
This presentation will provide you with an overview of the various security mechanisms that are available with the latest version of DB2 for Linux, UNIX, and Windows. It will also introduce you to several things that must be taken into consideration if you plan on moving your DB2 database environment from the datacenter to the cloud.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Roger Sanders, IBM
IBM dashDB for Analytics: How is It Different from Amazon Redshift and Why is It Better?
Session ID: DMT-1152 (link) | 2016-10-27 | 11:00 AM - 11:45 AM
Amazon Redshift has been around for over three years. But does longevity in the cloud make it the best choice for an analytics data warehouse? Other factors like simplicity, storage utilization and compression, and day-to-day maintenance requirements are more important with respect to a client's application environment than how long a cloud database has been available. This session will look at common data warehouse operational activities such as data loading, adapting database parameters to changing workload requirements, implementation complexities, and related factors in day-to-day operational requirements for a data warehouse. After examining all of the details, dashDB is the better choice for a cloud data warehouse.
Program
Sessions
Track
Data management
Level
Introductory
Speakers
Danny Arnold, IBM
IBM dashDB MPP and Oracle Exadata Cloud Service: A Comparison of Scalability, Value and Ease of Use
Session ID: DMT-1164 (link) | 2016-10-27 | 12:00 PM - 12:45 PM
Oracle Exadata Cloud Service brings Exadata clusters to the cloud. But is it the best solution for a large data warehouse environment, even if you're already using Oracle Database on-premise? Instead, IBM dashDB MPP provides a scalable, easy-to-use, high-performance data warehouse for analytics that includes Oracle compatibility. If a client is on an older Oracle Database release (older than Oracle Database 11gR2), moving to a dashDB MPP cloud database might take less effort than moving to Oracle Exadata Cloud Service. dashDB MPP provides many advantages over Oracle Exadata Cloud Service, in that it is fully managed and provides a much lower entry cost while delivering excellent in-memory, columnar database technology and compression.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Danny Arnold, IBM
Building a Watson Conversation framework with Bluemix, Node Red and MQTT
Session ID: DMT-1212 (link) | 2016-10-24 | 02:00 PM - 02:45 PM
This session describes and demonstrates, in detail, a multichannel framework that allows users to interact with IBM Watson. It will show how Watson APIs can be integrated to provide user experiences on mobile apps, the web and messaging systems like Facebook Messenger. It will also show how IBM Cloudant can be used to store each conversation for reporting and analysis. The session will demonstrate how IBM MQTT can be used to provide persistent asynchronous conversations that include both Watson virtual assistance and live chat.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Chris Williams, IBM
Hybrid Databases?More Than Just Hype?
Session ID: DMT-1250 (link) | 2016-10-25 | 04:30 PM - 04:50 PM
Hybrid databases are still on the increase on Gartner's Hype Chart. We'll discuss various definitions/models for hybrid used in the market today, along with the pros and cons of each. We'll then dig into IBM's Informix hybrid support, which includes support for storage of various kinds of data (JSON/BSON, relational, time series and spatial), as well as support for accessing this data using a variety of strategies (SQL, NoSQL, REST and MQTT). We'll also discuss several customer use cases where this type of technology has worked really well.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Shawn Moe, IBM
Float Your Data to the Cloud: A Primer on Load and Data Movement Options for dashDB and DB2 on Cloud
Session ID: DMT-1435 (link) | 2016-10-24 | 02:00 PM - 02:45 PM
dashDB is a fully-managed, self-service data warehouse in the cloud that puts powerful analytics at your fingertips. DB2 on Cloud is a flexible, hosted offering that keeps management of the database environment in the hands of the DBA. Regardless of the service being used, one of the first tasks you?ll have is getting your data into the database, and there are various options available to do that. In this session, you?ll learn about the different options for data loading and movement, when to use them, and best practices. Staging your data in a cloud-based storage like SoftLayer Object Storage (Swift) or Amazon S3 will also be covered.
Program
Sessions
Track
Data management
Level
Introductory
Speakers
Jennifer Chen, IBM
Miran Badzak, IBM
Implementing High Availability and Disaster Recovery for DB2 on Cloud
Session ID: DMT-1439 (link) | 2016-10-25 | 01:00 PM - 01:45 PM
IBM?s DB2 on Cloud offering gives you everything you know and love about DB2 for LUW in a cloud-based packaging of infrastructure and software. Benefits include rapid provisioning for instant productivity and monthly, subscription-based licensing. Like with DB2 on-premise, there are various options available for high availability and disaster recovery. In this session, you?ll learn how to setup HA/DR for both HA and DR purposes between DB2 on Cloud servers. DB2 on Cloud is also a great DR option for your on-premise DB2 databases, and this configuration will also be discussed in detail. Other strategies, including how to backup and restore databases using cloud-based storage (SoftLayer Object Storage and Amazon S3) will also be covered.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Kelly Schlamb, IBM
Hybrid Cloud Data Management with DB2 and dashDB
Session ID: DMT-1444 (link) | 2016-10-27 | 12:00 PM - 12:45 PM
The recently released DB2 for LUW 11.1 is the foundation for hybrid cloud database deployments. In addition to being available to install on cloud-based infrastructure (through a bring-your-own-license approach, which now includes monthly DB2 Direct licensing) DB2 11.1 is also the foundation of IBM?s DB2 on Cloud and dashDB cloud data service offerings. With a common SQL engine, you can write once and run anywhere. Learn more about these different options and when you?d want to choose one over another. Considerations such as type of workload, hosted versus managed, and simplicity versus flexibility are explored. New flavors of dashDB, such as dashDB for transactions and dashDB Local, will also be covered.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Jennifer Chen, IBM
Sparkified dashDB
Session ID: DMT-1479 (link) | 2016-10-25 | 02:00 PM - 02:45 PM
Learn about IBM's deeply integrated open source based analytics in IBM dashDB, based on Apache Spark. This new capability of dashDB combines your SQL-based descriptive analytics with advanced analytics methods such as machine learning in a very elegant fashion. You can use pre-built Spark based predictive SQL routines or run your custom Spark analytics and transformations via SQL. You can also run Spark workload in dashDB via REST APIs. Or use it interactively with Jupyter Notebooks, and simply leverage dashDB as an operational, multi-tenant Spark analytics service that combines data persistence with data analysis. dashDB integrated Spark in a highly optimized way, by leveraging its own MPP architecture effectively for Spark computation.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Torsten Steinbach, IBM
R Analytics Inside IBM Data Warehouse Offerings
Session ID: DMT-1490 (link) | 2016-10-24 | 04:00 PM - 04:45 PM
With PureData for Analytics on-premise, IBM dashDB in public cloud and dashDB Local in private cloud, you get a compatible family of relational data warehouse offerings that all provide a very deep integration of R-based analytics. Be it interactive analytics with R using integrated RStudio, seamless push-down of complex operations using an R DataFrame API into the database, publishing of R-driven web applications, or the deployment of R logic into the data warehouse and then running it via a REST API or even running it in a scale-out parallel R computation engine: All of this is available to you. This session will introduce you to all these capabilities and options, and walk you through a set of usage examples.
Program
Sessions
Track
Data management
Level
Advanced
Speakers
Torsten Steinbach, IBM
Know Thyself: Building a Mind Map with IBM Graph
Session ID: DMT-1616 (link) | 2016-10-24 | 05:00 PM - 05:45 PM
What should I do next? The answer often lies within yourself. But given the firehose of information available, it can be difficult to realize. Learn how to analyze your mind's connections by building a mind map with IBM Graph, one of the newest offerings from IBM Cloud Data Services. We will demonstrate how to integrate data from various sources, like Twitter and Slack, into a graph database. Then we apply Watson cognitive services available in IBM Bluemix to turn your data into tangible actions.
Program
Sessions
Track
Data management
Level
Introductory
Speakers
Jason Plurad, IBM
Prachi Khadke, IBM
Spark for Dummies
Session ID: DMT-1658 (link) | 2016-10-24 | 08:00 AM - 08:45 AM
This session is for technical and non-technical people who want to clearly understand what Hadoop and Spark is all about. The discussion will explain the technical concepts in an easy-to-understand way, so anyone can grasp how these new technologies work. To reinforce the explanations you'll see easy-to-understand demos that everyone can follow. If you don?t yet know what is Hadoop or Spark is, this is the session for you!
Program
Sessions
Track
Data management
Level
Introductory
Speakers
Luis Reina Julia, IBM
IBM dashDB Enterprise: Breakthrough Performance on Cloud and On-Premise, Powered by Intel
Session ID: DMT-1690 (link) | 2016-10-25 | 02:00 PM - 02:45 PM
IBM dashDB Enterprise MPP leverages IBM best-of-breed warehousing technologies and delivers them on cloud and on-premise to yield breakthrough performance for analytics. Intel and IBM have a long partnership in delivering joint solutions to optimize the management of data in these environments. In this presentation, we will go over some of the new solutions available in this space, including dashDB Warehouse and dashDB Transactional; and cover a case study in scaling the new dashDB Local (Dockerized warehouse on-premise) solution with some of Intel's latest hardware offerings.
Program
Sessions
Track
Data management
Level
Introductory
Speakers
Peter Kokosielis, IBM
Jantz Tran, Intel Corporation
Birds of a Feather: The New Way to Work in Hybrid Data Warehousing
Session ID: DMT-1717 (link) | 2016-10-24 | 03:00 PM - 03:45 PM
There is just too much data and too many new applications to fit it all on your traditional data warehouse. So what can you do? Keep core analytics on your traditional data warehouse and use new technologies for new analytics, self-service, short-lived needs, and for data that is born on the cloud. Come ask all your questions and hear from our expert panel in this "birds of a feather" session.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Matthias FUNKE, IBM
James Cho, IBM
John Park, IBM
Hemant Suri, IBM
Get Data In and Out of IBM Cloudant
Session ID: DMT-1876 (link) | 2016-10-24 | 01:00 PM - 01:45 PM
When projects decide on a data store, they look at two things: 1) How efficient is the data store with regards to data persistence and access; and 2) How easy is it to get data in and out of the store. This presentation will answer that second question with respect to IBM's NoSQL data store service in the cloud: IBM Cloudant. Learn how Cloudant can be used for data-level integrations with relational databases (IBM DB2 on Cloud) and warehousing services (IBM dashDB), analytics services (Spark, IBM Watson), event processing services (IBM MessageHub, Kafka), ETL services (IBM DataWorks), or plain libraries for Python and Java.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Holger Kache, IBM
Michael Breslin, IBM
Integrating Cloud Data Services with Current IT Infrastructure
Session ID: DMT-1916 (link) | 2016-10-24 | 12:00 PM - 12:45 PM
This session will cover different approaches to using on-premise data in the cloud, and discuss multiple use cases. It will cover IBM's Cloud Data Services and IBM InfoSphere Change Data Capture. Attendees will see a demonstration of on-premise data being replicated to DB2 in the Cloud, and federation between cloud and on-premise data sources.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Robert A. Beal, IBM
Enterprise Data Fuels Enterprise Analytics: Why You Should Perform Analytics Using IBM IMS Data
Session ID: DMT-2018 (link) | 2016-10-24 | 09:00 AM - 09:45 AM
In this session, IBM Information Management System (IMS) Offering Manager Kari Briski is joined by IMS Architect Kyle Charlet to highlight the role of IMS in enterprise analytics.Without data, there would be no analytics.Enterprise analytics relies on IBM's data management software solutions for its source.Where do you start? How can you bring IMS data into your analytics workloads, and how can you bring analytics to your IMS data?In this overarching discussion, you will learn the answers to both these questions. You'll also learn about other capabilities of IMS that relate to analytics, cloud, the API economy, and more.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Kyle Charlet, IBM
Enterprise Analytics for IBM IMS Data Using Apache Spark
Session ID: DMT-2019 (link) | 2016-10-25 | 03:00 PM - 03:45 PM
IBM?s enterprise clients depend on the qualities of service provided by IBM z Systems: security, scalability and availability. With respect to analytics, they need capabilities that match, and that can deal with the large-scale data processing that keeps these businesses humming. Apache Spark is a natural fit in this space. It provides analytics processing that is on par with large-scale data processing. You can pull IBM Information Management System (IMS) data into Spark, and use data science programming languages like Scala, Python and R to gain new insights about your IMS data. Join this session to discover how your operational IMS data can become a key asset in your analytics solutions.
Program
Sessions
Track
Data management
Level
Introductory
Speakers
Richard Tran, IBM
IBM Informix in the Cloud
Session ID: DMT-2032 (link) | 2016-10-24 | 01:00 PM - 01:45 PM
Does your business depend on IBM Informix for mission-critical operations? Are you considering or are you already doing business with systems in the cloud? Come learn about IBM's offerings for using Informix in the cloud.
Program
Sessions
Track
Data management
Level
Introductory
Speakers
Nicholas Geib, IBM
Deep-Dive into IBM dashDB for Data Warehousing for DBAs and Data Warehouse Administrators
Session ID: DMT-2170 (link) | 2016-10-27 | 01:00 PM - 01:45 PM
Come find out everything that DBAs and data warehouse admins want to know about IBM dashDB as a managed service and dashDB Local for private cloud, but were afraid to ask. Learn about resource balancing and scalability, how to think about management in a cloud environment, and more.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
James Cho, IBM
Business Drivers for Cloud Versus On-Premise Analytics
Session ID: DMT-2232 (link) | 2016-10-26 | 11:00 AM - 11:45 AM
Business requirements have never been as demanding as they are now. Combined with the fact that information technology is at its most significant inflection point in more than 40 years, clients must quickly adapt the way they manage their data and analytic processes in order to gain optimal competitive advantage in the market. This session will outline the steps to identify the appropriate environment for enterprise analytics: on-premise, cloud, hybrid and more. We will highlight use cases across various applications and processes, and discuss advantages and trade-offs to consider across scalability, performance, security and costs. Explore the options, both short- and long-term, that will provide a platform for innovation.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Namik Hrle, IBM
IBM DB2 pureScale: Taking Highly Available Scalability to a Public Cloud
Session ID: DMT-2243 (link) | 2016-10-26 | 10:00 AM - 10:45 AM
When running software in a public cloud environment, it?s always about easy scalability; e.g., for web services or Database-as-a-Service (DBaaS). But what if your legacy application can?t use DBaaS but still needs high database reliability, and the cloud provider does not guarantee availability of VMs? This is where IBM DB2 pureScale comes in. Join the rollercoaster ride towards a scalable and highly available DB2 database in a public cloud environment, and see what?s possible and what problems have to be solved along the way.
Program
Sessions
Track
Data management
Level
Advanced
Speakers
Thomas Rech, IBM
Martin Heitkmper, arvato Systems GmbH
How to Build an Elastic Replication Architecture for DashDB MPP and Partitioned DB2 Databases
Session ID: DMT-2287 (link) | 2016-10-27 | 08:00 AM - 08:45 AM
IBM?s dashDB MPP allows for highly scalable datasets and gives faster answers from data. As an IBM partner, Libelle provides a software solution to replicate complete MPP stacks to secondary standby systems for disaster recovery or other purposes. This session provides a technical overview on how to build and maintain replicated dashDB MPP and DB2 DPF standby systems. The discussion will cover basic replication options (block versus log versus transaction-based), followed by an introduction and demo of the Libelle solution. The focus will be on special requirements for partitioned databases and consistency of the replicated landscape. dashDB MPP is adding elasticity to data analytics. Libelle expands this elasticity to replication.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Bernd Baier, Libelle
Meet the Family: Hybrid Data Warehousing with IBM dashDB
Session ID: DMT-2413 (link) | 2016-10-26 | 04:00 PM - 04:45 PM
As you respond to increasing requests for new analytics, you need fast and flexible technology in your arsenal so that you can deploy the right workload to the right platform for the need at hand. A hybrid solution to handle varied deployment needs can help. IBM dashDB for data warehousing is powered by in-memory computing and in-database analytics. It delivers fast results, scalability and more. Take advantage of this technology on our cloud-based managed service, as well as our new container-based edition (currently in preview) that lets you deploy to private clouds, software-defined environments and other infrastructures. Learn about common technology that is shared across the dashDB family and what this means to you.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Matthias FUNKE, IBM
Best Practices and Sizing Guidelines for IBM dashDB Local
Session ID: DMT-2414 (link) | 2016-10-24 | 12:00 PM - 12:45 PM
When it comes to data warehousing, how does increased productivity and peace of mind sound? IBM dashDB Local helps you escape day-to-day mundane administration, tuning and monitoring tasks. This talk will share the best practices and sizing guidelines you need to attain this peace of mind. We will cover best practices around setup, configuration, performance and maintenance. We'll explain how dashDB Local can help save you money through configurations that are tailored for different workloads. Learn about optimal architecture and features that will simplify the overall user experience. Finally, learn how to maximize end-user experience by leveraging a true software-defined environment using Docker container technology.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
James Cho, IBM
Think Like a Cloud When It Comes to Managing Your Data-Driven Applications
Session ID: DMT-2428 (link) | 2016-10-25 | 02:30 PM - 02:50 PM
When you have thousands of CPUs, terabytes of memory, and petabytes of storage available in a cloud that can be accessible in seconds, how does that change your application? There?s a new way to work and adjust your thinking when managing data-driven applications on public or private clouds
Program
Sessions
Track
Data management
Level
Introductory
Speakers
James Cho, IBM
DB2 Cloud Deployment Options for On-Premise DBAs
Session ID: DMT-2435 (link) | 2016-10-25 | 04:00 PM - 04:45 PM
Back in the day, when you wanted DB2 you installed DB2. That's so last year. From the various "as-a-Service" (XaaS) options to pricing and other considerations, this overview is designed to help you ask the right questions and provide meaningful feedback when your CFO asks, "Are we cloud-ready?" This session covers both DB2 for z/OS and DB2 for Linux, Unix and Windows, and addresses data loading and interoperability across data repositories, wherever they reside.
Program
Sessions
Track
Data management
Level
Introductory
Speakers
Frank Fillmore, The Fillmore Group, Inc.
Kim May, The Fillmore Group, Inc.
Real-World Use Cases with IBM dashDB Local
Session ID: DMT-2446 (link) | 2016-10-24 | 05:00 PM - 05:45 PM
Come experience a deep-dive into IBM dashDB Local for data warehousing. You'll hear about four application use cases for dashDB Local warehouse and also view a demo.
Program
Sessions
Track
Data management
Level
Introductory
Speakers
James Cho, IBM
Move Reporting Workloads to a Cloud Database with Minimal Application Change
Session ID: DMT-2675 (link) | 2016-10-27 | 09:00 AM - 09:45 AM
Customers can move demanding business intelligence workloads like MicroStrategy to IBM dashDB with ease and minimal application change. You can download, install and configure the necessary driver from dashDB. You can then change your existing queries to point to the new dashDB source and get the new queries up and running immediately. Many of our existing customers have not only seen minimal code change required, but also they have seen drastic performance increases.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
John Park, IBM
Modernizing Your DB2 Data Warehouse to Be SAN-Less and Cloud-Ready: Visa's Use Case
Session ID: DMT-2679 (link) | 2016-10-25 | 05:00 PM - 05:45 PM
Visa has been pioneering electronic payments since 1958 and currently operates in more than 200 countries and territories. As part of Visa's modernization strategy, they continue to evolve as they deploy their DB2 data warehouse to an architecture for the new era of cloud. The flexible solution delivers the DB2 performance they require and the availability expected from an IBM solution. By combining DB2 BLU, MPP, GPFS and SSDs, Visa has deployed a highly scalable, highly available, SAN-less cloud-ready DB2 "shared-nothing" on-premise warehouse solution. As enterprises look at private and public clouds, DB2 provides an easy transition from traditional SAN structured environments to flexible, SAN-less cloud-ready solutions.
Program
Sessions
Track
Data management
Level
Advanced
Speakers
Enzo Cialini, IBM
Hemanth Thota, Visa
Making the Move from PureData System for Analytics to dashDB
Session ID: DMT-2763 (link) | 2016-10-26 | 09:00 AM - 09:45 AM
Walk through a ground to cloud use case scenario for a particular customer trying to offload workloads to either dashDB Local or dashDB Managed, migrate schema and data from PureData System for Analytics (PDA), and then run their applications on both environments.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Hemant Suri, IBM
Venkatesh S. Gopal, IBM
Share Data, Assets and Experience for Better Insights with the IBM Analytics Platform
Session ID: DMT-2811 (link) | 2016-10-26 | 11:00 AM - 11:45 AM
To develop timely and compelling analytics solutions, data scientists, data engineers and business analysts must collaborate. Our team implemented three multi-channel retail business analytics solutions on different cloud analytics platforms. How do data scientists communicate and share insights with business analysts? How do business analyst needs translate into tasks for the data engineer? Learn from our experience which analytics platform offers new levels of simplicity and end-to-end integration across multiple data sources, data flows and data-centric roles within your organization.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Siva Anne, IBM
IBM dashDB Technical Review for PureData System for Analytics Technical Professionals
Session ID: DMT-2887 (link) | 2016-10-27 | 02:00 PM - 02:45 PM
Are you considering augmenting an existing PureData System for Analytics (PDA/Netezza) on-premise warehouse with cloud-based or local dashDB systems? Are you an expert on Netezza, but want to know more about dashDB for analytics workloads? Come to this session and learn about the dashDB architecture and see how Netezza/PDA features are implemented in dashDB. The discussion will cover application and client connectivity, command line and tool interfaces, administration and data loading and unloading, along with other topics.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Mike McCarthy, IBM
Docker, Data Warehousing and the Cloud
Session ID: DMT-3130 (link) | 2016-10-24 | 10:00 AM - 10:45 AM
IBM dashDB is a highly scalable, high-performance data warehousing solution. To enable fast and painless deployment, Docker container technology plays an important role. This session will illustrate how Docker empowers dashDB solutions on AWS to maximize efficiency of the underlying infrastructure.
Program
Sessions
Track
Data management
Level
Introductory
Speakers
Afiya Nusrat, IBM
Michael Yue, IBM
A Secure Cloud Database Service: IBM dashDB
Session ID: DMT-3337 (link) | 2016-10-27 | 10:00 AM - 10:45 AM
Need a secure cloud database service for your business? IBM dashDB is your answer! dashDB is the new IBM data warehousing and analytics service in the cloud. It offers you an unprecedented speed at petabyte scale. Moreover, dashDB keeps your data secure. This session will introduce you to how dashDB secures your business data (e.g., encryption at rest and in transit, access control and auditing), and what security certifications and compliance (e.g., ISO, HIPAA readiness) dashDB provides. Come and learn more about IBM dashDB security.
Program
Sessions
Track
Data management
Level
Introductory
Speakers
Michael Kwok, IBM
Kelvin Ho, IBM
Lightning Speed Cloud Analytics at Petabyte Scale
Session ID: DMT-3343 (link) | 2016-10-24 | 01:00 PM - 01:20 PM
IBM dashDB?s new offering, SuperNode, offers a fully managed cloud data warehousing solution that supports data volumes from hundreds of terabytes to petabytes in scale. It gives you speed-of-thought analytic performance. It also provides you with an incredible capacity to host your large data warehouse on the cloud. In this session, we will introduce this new, exciting offering. We will show you the seamless migration from your on-premise, petabyte-scale database (like DB2, Netezza and Oracle) onto the cloud. We will present to you the possible use cases of the SuperNode. Finally, we will share with you our customers' experiences with the SuperNode and how they enjoy its lightning speed at a petabyte scale for their businesses.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Michael Kwok, IBM
Francis Wong, IBM
IBM dashDB for Transactions: Fully Managed and Truly Awesome
Session ID: DMT-3471 (link) | 2016-10-24 | 04:00 PM - 04:45 PM
Your business processes thousands or millions of transactions a day from hundreds of applications. You need a database infrastructure that is ready for the workload, compatible with your applications, and is simple to start using. IBM dashDB for transactions provides a fully managed database service in the cloud that is optimized for online transaction processing workloads. In this session, we will discuss key features of this enterprise-class service, and also get into the technical side of how it is designed and implemented for availability and performance. We will talk about how the service is managed and operated for you, so you can concentrate on more important things in your job and in your life.
Program
Sessions
Track
Data management
Level
Introductory
Speakers
Andrew Hilden, IBM
IBM DB2 BLU Internals and Best Practices: Updated Content for DB2 11
Session ID: DMT-3484 (link) | 2016-10-27 | 09:00 AM - 09:45 AM
IBM DB2 with BLU Acceleration can provide order-of-magnitude improvements in performance, compression and time-to-value. This presentation gives DBAs what they need to know to be successful with BLU. It provides a concise, technical look at the best practices the lab has established for BLU. At the same time, it explains the concepts and internals information that gives DBAs an appreciation for the underlying reason for the best practices. The discussion will encompass the new massively parallel processing (MPP) support in DB2 11.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Matthew Huras, IBM
Spark Today and Tomorrow: How IBM Can Help You on Your Journey
Session ID: DMT-3513 (link) | 2016-10-25 | 05:00 PM - 05:45 PM
This session will explore Spark capabilities and future development directions. The discussion will outline how Spark can help organizations enhance their analytical capabilities using this high-powered, open source offering.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Niru Anisetti, IBM
NoSQL 101: A Field Guide to the World of Modern Data Stores
Session ID: DMT-3565 (link) | 2016-10-24 | 08:00 AM - 08:45 AM
Choose your database wisely... There are many types of databases and data analysis tools to choose from when building your application. Should you use a relational database? How about a key-value store? Maybe a document database? Is a graph database the right fit? What about polyglot persistence and the need for advanced analytics? If you feel a bit overwhelmed, don?t worry. This session lays out the various database options and analytic solutions available to meet your app?s unique needs. You?ll see how data can move across databases and development languages, so you can work in your favorite environment without the friction and productivity loss of the past.
Program
Sessions
Track
Data management
Level
Introductory
Speakers
Lawrence Weber, IBM
Polyglot Persistence and Open Source Software
Session ID: DMT-3568 (link) | 2016-10-25 | 04:00 PM - 04:45 PM
Polyglot persistence?the art of building and maintaining application architectures that draw from multiple data sources?is a term bandied about by analysts. But how does it work in practice? It is no simple task to build data layers that combine different relational and non-relational database systems to power the advanced features of today?s apps, like full-text search, geospatial capabilities and recommendation engines. Managed cloud platforms and open source software make it simpler for organizations to compose polyglot persistent data layers, so apps are always equipped with ?the right tools for the job.? In this session, learn how scalable, pay-as-you-go platforms like IBM Compose remove database management pains to enable innovation.
Program
Sessions
Track
Data management
Level
Introductory
Speakers
Bradley Holt, IBM
IBM DataWorks Strategy: Accelerate the Shift to a Data-Driven Organization
Session ID: DMT-3579 (link) | 2016-10-25 | 03:00 PM - 03:45 PM
IBM DataWorks builds on the path that IBM has been on for the last two years to provide cloud-based data and analytics services. We are building on those investments with deeper integration and targeted individual user experiences to accelerate the shift toward a data-driven organization. Augmented with The Weather Company technologies, DataWorks delivers unprecedented scale and integration to drive digital transformation by enabling data professionals to collaborate seamlessly through the analytics process.
Program
Sessions
Track
Data management
Level
Introductory
Speakers
Harsha Kapre, IBM
IBM DataWorks Customer Case Study: ANZ Bank
Session ID: DMT-3580 (link) | 2016-10-25 | 04:00 PM - 04:45 PM
IBM DataWorks enables a new engagement model that lowers barriers to entry to help drive digital transformation. Through common digital channels and growth events, customers gain awareness of IBM solutions. This drives further adoption and trials without any upfront investment. Decision-makers are able to define value before making large investments, and progressively add capabilities with ease. In this session, ANZ Bank will share its experience with this model and the business value of the DataWorks platform.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Steven Spangher, ANZ Bank
Ritika Gunnar, IBM
DUPLICATE Steven Spangher, ANZ Bank
IBM DataWorks Deep-Dive: Self-Service Analytics
Session ID: DMT-3581 (link) | 2016-10-24 | 04:00 PM - 04:45 PM
IBM DataWorks accelerates the shift toward a data-driven organization through data access, collaboration and intelligence. A tightly integrated set of capabilities and user experiences enables customers to embed deeper insights into day-to-day business processes. A foundation of trusted data access provides data where it is needed regardless of type or source. A powerful analytics processing layer enables deep intelligence and streamlined deployment. Fully integrated experiences enable data professionals to collaborate seamlessly. Through a combination of these components, DataWorks delivers end-to-end self service analytics to help customers out-think the competition.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Harsha Kapre, IBM
IBM DataWorks Data Access: Are You Open for Data?
Session ID: DMT-3582 (link) | 2016-10-27 | 11:00 AM - 11:45 AM
IBM DataWorks makes the promise of data access a reality by integrating ingestion, data preparation, storage and governance with a powerful shop for data experience. This provides a foundation of trusted data access that enables deep collaboration and expanded access to new data sources and data types with control and context. DataWorks integrates this trusted access layer with all user experiences and analytics processing capabilities to drive analytics and infuse insights into day-to-day business processes.
Program
Sessions
Track
Data management
Level
Intermediate
Speakers
Harsha Kapre, IBM
Applying IBM Graph for Better Automated Recommendations
Session ID: DMT-3589 (link) | 2016-10-26 | 08:00 AM - 08:45 AM
Data is driving every decision in business, from user behavior in an application to logistics and procurement. In today's world, smarter purchases are being made based on automated suggestions from the system. This talk will explore how graph theory and IBM Graph can be applied to help your applications create smarter suggestions for your users. We will cover how modeling your complex data in a graph will allow you to find different insights, and how different types of recommendation engine can be applied to give the end-user the best possible choices on where money is spent.
Program
Sessions
Track
Data management
Level
Introductory
Speakers
Michael Elsmore, IBM
The Many Flavors of NoSQL
Session ID: DMT-3593 (link) | 2016-10-24 | 09:00 AM - 09:45 AM
The relational database has been the dominant model for persistent data for the last 40 years. Features such as ACID (Atomicity, Consistency, Isolation, Durability) guarantees were (and are) important for the systems of record behind enterprise applications. Priorities and constraints on data access began to change with the emergence of the web (and later apps), and new ways of persisting data more suitable for systems of engagement were explored. This talk will explore horizontal scaling and eventual consistency, as well as key-value stores, document databases, graph databases, and more. We will take a look at some of the many open source NoSQL databases, including MongoDB, Redis, Apache TinkerPop, Elasticsearch, PostgreSQL and others.
Program
Sessions
Track
Data management
Level
Introductory
Speakers
Bradley Holt, IBM
IBM Graph Roadmap
Session ID: DMT-3594 (link) | 2016-10-27 | 11:00 AM - 11:45 AM
What's coming next in the world's first enterprise-grade property Graph Database-as-a-Service? Learn from the offering team what to look for in the near future.
Program
Sessions
Track
Data management
Level
Introductory
Speakers
Bhavika Shah, IBM
IBM Cloudant Roadmap
Session ID: DMT-3595 (link) | 2016-10-27 | 10:00 AM - 10:45 AM
Love IBM Cloudant and wondering what's coming next? Learn from the product team what to expect in the near future for your favorite JSON document store.
Program
Sessions
Track
Data management
Level
Introductory
Speakers
Michael Breslin, IBM
Anthony Abdulla, IBM
IBM Compose Enterprise: Roadmap
Session ID: DMT-3596 (link) | 2016-10-24 | 04:00 PM - 04:45 PM
Learn what's next for this offering of hand-picked open source databases that is transforming application development. Find out first what is on the horizon for the all-you-can-eat suite of Databases-as-a-Service.
Program
Sessions
Track
Data management
Level
Introductory
Speakers
Chris Glew, IBM