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Top 10 reasons to attend IBM Insight at World of Watson 2016

Portfolio Marketing Manager, IBM

One place, and only one place, is where people who work with data need to be 24–27 October 2016, and that place is IBM Insight at World of Watson 2016. This conference promises to be one of the most intriguing and innovative events in your data and analytics calendar.

A world of analytics and cognitive experiences

IT architects, big data specialists, business analysts, data scientists and data warehousing gurus who make their annual pilgrimage to Las Vegas will find themselves in a veritable wonderland. That wonderland includes a bevy of technical sessions, keynotes, interactive workshops, enlightening hands-on labs and invaluable networking sessions. There’s so much to see and do, in fact, that we wouldn’t blame you for feeling a little overwhelmed. As a result, here is a handy list of the top-ten reasons to attend and experience this event.

1. Inspiring keynotes from the brightest minds at IBM (or why IBM is on MIT’s Top 50 Smartest Companies list)

Join us in the Mandalay Bay’s majestic ballroom to hear how next-generation analytics is helping organizations realize the full promise of their data. You can explore how business analysts, data engineers, data developers and data scientists are harnessing Apache Hadoop, Apache Spark, Python and other open source technologies to work in new, collaborative ways. Also get input from leading organizations including Verizon Wireless, Macquarie Group and Galvanize

  • Building and Innovating with Data: Monday, 24 October 2016, 3 p.m. Pacific, Mandalay Bay Ballroom, Session 3903A

2. Real-world experiences from business leaders and data practitioners

We are excited to discuss the latest and greatest technologies with you, but you don’t have to take our word for it. The conference also features dozens of sessions presented by IBM customers who can report back on what it really takes to turn a smart idea into a real-world solution. Take this rare opportunity to get insiders’ perspectives, and benefit from the lessons learned by First Citizens Bank, Seagate Technology, Big Fish Games, Teachers Insurance and Annuity Association of America (TIAA), GFM Integration, Fiducia & GAD IT AG and many more: 

  • IBM Netezza Implementation at First Citizens Bank: Monday, 24 October 2016, 10 a.m. Pacific, Palm B, Session 3031A
  • Sensor Overload – Taming the Raging Manufacturing Big Data Torrent: Monday, 24 October 2016, 1 p.m. Pacific, Palm C, Session 1633A
  • Democratizing Data Access at Big Fish Games: Tuesday, 25 October 2016, 2 p.m. Pacific, Palm C, Session 3570A
  • Preparing Data for Cognitive Analytics at TIAA: Tuesday, 25 October 2016, 3 p.m. Pacific, Palm C, Session 3643A
  • Real-Time Analysis of Telecommunications Network Behavior Using IBM BigInsights, Spark and Streams: Tuesday, 24 October 2016, 3 p.m. Pacific, Palm B, Session 2665A
  • From Fraud Detection to Big Data Platform – Bringing Hadoop to the Enterprise at Fiducia & GAD IT AG: Tuesday, 25 October 2016, 4 p.m. Pacific, Palm C, Session 1679A

3. Access to Hadoop and Spark expertise

IBM Insight at World of Watson 2016 gives you the knowledge you need to navigate the often complex Hadoop ecosystem. Whether you are taking your first steps, extending your existing on-premises cluster or taking a look at innovative cloud-based Hadoop and Spark offerings from IBM, mine this conference for expert access, starting with these recommended sessions: 

  • IBM Open Platform – A Technical Overview: Monday, 24 October 2016, 11 a.m. Pacific, Palm C, Session 3519A
  • IBM BigInsights on Cloud Technical Overview and Roadmap: Monday, 24 October 2016, 4 p.m. Pacific, Palm C, Session 3505A 
  • IBM BigInsights Roadmap and Direction: Tuesday, 25 October 2016, 1 p.m. Pacific, Palm C, Session 2900A
  • IBM BigInsights: Simplifying the Journey to Enlightenment: Wednesday, 26 October 2016, 8 a.m. Pacific, Palm C, Session 3333A
  • Getting Value Out of Your Hadoop Cluster with IBM BigInsights 4.2: Wednesday, 26 October 2016, 9 a.m. Pacific, Palm C, Session 3518A
  • Ensuring High Availability Within Your Hadoop Cluster: Thursday, 27 October 2016, 8 a.m. Pacific, Palm C, Session 3562A
  • The IT Economics of Hadoop Environments: Thursday, 27 October 2016, 12 p.m. Pacific, Palm C, Session 2929A 

And additional sessions dedicated to Spark can be found using the event’s Session Expert tool.

4. The future of advanced analytics and data science – Jupyter Notebooks on Hadoop

Jupyter Notebooks is already a killer app for the data science community, and it has great potential to become ubiquitous for data practitioners of all kinds. Learn how IBM is developing full integration between Notebooks, Hadoop and Spark to empower users to analyze truly gigantic data sets in near–real time and democratizing access to big data for the first time: 

  • Accelerate Your Data Science Delivery with Integrated Notebooks and IBM BigInsights: Thursday, 27 October 2016, 1 p.m. Pacific, Palm C, Session 3516A 

Additional sessions dedicated to data science can be found using the event’s Session Expert tool.

http://www.ibmbigdatahub.com/sites/default/files/top-10-blog.jpg5. A panoramic view of IBM Cloud Data Services

One of the major trends over the past year has been the emergence of services such as IBM dashDB and IBM BigInsights on Cloud for true data warehousing and big data analytics as a service. IBM Insight at World of Watson 2016 hosts a series of sessions explaining how and why these cloud services can be a smart choice for both beginners and experienced data management teams: 

  • End-to-End Analytics in the Cloud – A Case Study: Monday, 24 October 2016, 1 p.m. Pacific, Breakers G, Session 2626B
  • Loading Data Into a Business Intelligence Cloud Using IBM BigInsights on Cloud: Wednesday, 26 October 2016, 10 a.m. Pacific, Palm B, Session 3563A
  • Move Reporting Workloads to a Cloud Database with Minimal Application Change: Thursday, 27 October 2016, 9 a.m. Pacific, Palm A, Session 2675A

6. Hybrid data architecture use cases

Because no single model can meet all your considerable data analytics needs, a hybrid approach to data architectures is the reality when you need to integrate established and new analytics database approaches into a common architecture. The availability of cloud data services raises intriguing opportunities for the next generation of data warehouses. In particular, keeping highly tuned core analytics functions on a high-performance appliance such as IBM PureData System for Analytics while analyzing other data and born-on-the-cloud data in dashDB or Hadoop is one such opportunity. As a result, we’re hosting a variety of sessions to explore different use cases for hybrid data warehousing and sharing some tips and tricks for how to optimize performance and operational costs: 

  • Ten Use Cases to Get Started with Modern Data Warehousing: Monday, 24 October 2016, 8 a.m. Pacific, Palm A, Session 1771A
  • Meet the Family: Hybrid Data Warehousing with IBM dashDB: Monday, 24 October 2016, 11 a.m. Pacific, Palm A, Session 2413A
  • Birds of a Feather – The New Way to Work in Hybrid Data Warehousing: Monday, 24 October 2016, 3 p.m. Pacific, Palm A, Session 1717A
  • Modernizing Your Data Warehouse with Hadoop: Monday, 24 October 2016, 5 p.m. Pacific, Palm C, Session 3507A
  • Sparkified dashDB: Tuesday, 25 October 2016, 2 p.m. Pacific, Palm B, Session 1479A
  • Making the Move from PureData System for Analytics to dashDB: Wednesday, 26 October 2016, 9 a.m. Pacific, Breakers G, Session 2763A
  • IBM PureData System for Analytics to IBM dashDB in 60 Minutes: Thursday, 27 October 2016, 9 a.m. Pacific, Palm B, Session 1036A
  • Hybrid Cloud Data Management with DB2 and dashDB: Thursday, 27 October 2016, 12 p.m. Pacific, Palm D, Session 1444A
  • Deep-Dive Into IBM dashDB for Data Warehousing for DBAs and Data Warehouse Administrators: Thursday, 27 October 2016, 1 p.m. Pacific, Palm A, Session 2170A
  • IBM dashDB Technical Review for PureData System for Analytics Technical Professionals: Thursday, 26 October 2016, 2 p.m. Pacific, Palm A, Session 2887A 

7. A dip in a data lake discussion

As more organizations seek to extract value from fast-flowing streams of unstructured data, a data lake strategy and implementation has become mainstream. With guidance from both IBM experts and clients such as Citizens Bank, Southwest Power Pool and Constant Contact, you can learn the best practices and see examples to help make your next steps toward a data lake strategy is easier than ever: 

  • Citizens Bank Data Lake Implementation – Selecting BigInsights ViON Spark and Hadoop Appliance for ETL: Monday, 24 October 2016, 2 p.m. Pacific, Palm A, Session 3260A
  • First Steps Toward a Data Lake – Insight from Southwest Power Pool: Wednesday, 26 October 2016, 9 a.m. Pacific, Palm A, Session 3451A
  • How to Build a Data Lake – A Case Study for Data Engineers: Wednesday, 26 October 2016, 9:30 a.m. Pacific, Monetizing Data Theater, Booth 567, Session 2777A
  • Constant Contact – An Online Marketing Leader’s Data Lake Journey: Wednesday, 26 October 2016, 11 a.m. Pacific, Palm C, Session 3517A 

8. Bigger queries and getting analysts ready for Big SQL

The Hadoop ecosystem may be the future of data warehousing, but for many data practitioners, learning to write MapReduce or Spark jobs can be a significant challenge. Wouldn’t it be great if business analysts could use their existing SQL skills—even their existing code—to query any structured data set, regardless of where the data actually lives? The latest release of IBM Big SQL is a huge step forward in providing simple, standardized SQL access to big data through the syntax you already know and love—and we’ll show you how to take maximum advantage: 

  • IBM BigInsights Big SQL Best Practices and Troubleshooting Tips: Monday, 24 October 2016, 3 p.m. Pacific, Palm C, Session 3214A
  • Getting Started with Big SQL Features, Including Spark Integration: Monday, 24 October 2016, 4 p.m. Pacific, Bayside F-14, Session 3512A
  • The Truth About SQL and Data Warehousing on Hadoop: Wednesday, 26 October 2016, 10 a.m. Pacific, Palm C, Session 1121A
  • SQL and IBM Big SQL on Hadoop for DB2 DBAs: Thursday, 27 October 2016, 9 a.m. Pacific, Palm C, Session 2903A
  • Big Data Tooling – IBM Data Server Manager Provides Big SQL Web Tooling: Thursday, 27 October 2016, 2 p.m. Pacific, Palm C, Session 2241A

9. Supercharging data warehouse strategy

Technologies such as IBM PureData System for Analytics for traditional data warehousing are hard to beat. But when you’re handling colossal tables with billions of rows, the usual rules of database optimization often no longer apply and the best approach can seem counterintuitive even to experienced database administrators (DBAs). We’ll give you the confidence to set aside your anxieties and misconceptions about data warehousing at scale and teach you the tips and tricks you need to get the best possible performance out of your PureData appliance: 

  • IBM PureData for Analytics and Netezza Performance Tuning: Monday, 24 October 2016, 12 p.m. Pacific, Palm A, Session 1072A
  • IBM PureData for Analytics – Going Off Road: Tuesday, 25 October 2016, 3:30 p.m. Pacific, Monetizing Data Theater, Booth 567, Session 1111A10

10. Hands-on experience with cool new technologies in the demo rooms

When you’ve attended some of the sessions we’ve highlighted here, maybe you’ll have heard all about a new technology that you want to investigate. Perhaps you’ll even have listened to other IBM clients share how it has already benefited their organizations. But what if you want to dive deeper and see for yourself what that technology can do? The demonstration rooms at IBM Insight at World of Watson 2016 give you a specific opportunity to experience some of the latest and greatest innovations from IBM firsthand. IBM experts are at your side to guide you through some of the most exciting features and explain the most compelling use cases. These technologies are highly recommended: 

  • Data Lakes with IBM Industry Models
  • Enterprise Hadoop and Spark
  • Fluid Query for Hybrid Warehousing
  • IBM BigInsights BigIntegrate
  • IBM dashDB and dashDB Local
  • IBM dashDB for Analytics
  • IBM dashDB Local with Apache Spark
  • IBM dashDB Speed Test 

Wide open opportunities

Although this top-ten reasons list barely scratches the surface, rest assured you’ll find what you’re looking for at IBM Insight at World of Watson 2016, where literally hundreds of other sessions are available. Hopefully, this brief tour of what data practitioners of all stripes can expect to find at IBM Insight at World of Watson 2016 is helpful as you prepare for the conference. As a next step, why not visit the Session Expert tool to help you plan an agenda with the best that the conference has to offer? 

We look forward to seeing you in Las Vegas