Presentations

Re-platforming for the Digital Economy at Marriott!

Re-platforming for the Digital Economy at Marriott!

Couchbase Live New York 2015

Marriott International, Inc., is a leading hotel provider with more than 4,200 properties in 79 countries. The brand is recognized worldwide for delivering excellent service for almost a century. When Marriott decided it was time to replace its legacy infrastructure to better compete in the Digital Economy, IT leadership faced core technology decisions on selecting open source vs. proprietary, NoSQL vs. relational, which projects to deploy first, etc. During this keynote, Tom Vidnovic, Solutions Architect at Marriott will address how decisions were made starting with a new database, to transform Marriott¹s infrastructure to a modern, open source platform that enables Marriott to deploy new applications faster and more reliably.

Couchbase at Cox Automotive

Couchbase at Cox Automotive

Tony discusses Cox Automotive’s journey with Couchbase. From initially just using it for caching, through specific data storage needs and future optimizations all enabling Cox Automotive to add value for its customers.

Offline First: How GE Integrated Couchbase Mobile in Less Than 90 Days

Offline First: How GE Integrated Couchbase Mobile in Less Than 90 Days

Today’s innovative software is providing new ways for industrial companies to gain a competitive advantage. But harnessing that potential from scratch isn’t easy. You need to bring together device connectivity, data integration and management, data analytics, cloud, and mobility all in a way that works seamlessly together and intuitively for all the members of your business. That’s why GE created Predix. In the connected world, GE field engineers work in places where offline is the norm. This presentation will examine how the Predix Experience engineering team built a platform for building applications for the industrial workforce and how Couchbase Mobile complements GE’s Offline First approach. We will look at what Offline First means and how the platform’s offline capabilities were replaced with Couchbase Mobile in less than 90 days.

How Gannett Achieved Scalability and Agility with NoSQL

How Gannett Achieved Scalability and Agility with NoSQL

Gannett is one of America’s largest media companies. Gannett provides full national coverage through 93 local and national sites that reach 96 million total monthly digital visitors. Gannett’s total mobile reach alone hits 31 million unique monthly visitors. To support our various products we needed our stories, videos and photos to flow through our publishing system and be retrievable in a matter of seconds. In this talk we will discuss how Gannett moved away from SQL Server to Couchbase for storing updating and retrieving millions of documents. We will also discuss how we use Couchbase to power our User Generated Content. Finally we will also touch on our future plans to integrate N1QL into our new Authoring and Scheduling systems.

Nielsen's Interactive Data Analytics with Couchbase

Nielsen's Interactive Data Analytics with Couchbase

In this session we’ll discuss how Couchbase’s query language, N1QL provided Nielsen with an interactive querying capability that significantly increased our ability to gather meaningful insights into stored client data. In this session, you will learn how we gather those insights and interact with data analytics while leveraging SQL for JSON, N1QL. For context, Nielsen’s Answers on Demand (AOD) services deliver ratings data and other information for businesses in more than 100 countries. With the inflow of massive volumes of data and the requirement to deliver highly targeted results for clients, the ability to sift through datasets quickly and effectively is critical. The AOD services need to provide powerful analytics and reporting capabilities – essentially aggregations on the fly – through an on-demand big data platform. We at Nielsen turned to Couchbase to persist client report definitions, selections, and cache enabling us to sidestep many of the limitations of relational databases operating in a multitenant environment. The Couchbase solution delivered a 50 percent boost in response time by pre-indexing metadata and gave us the ability to query against the index or target specific documents with N1QL

Couchbase Server at LinkedIn 2015

Couchbase Server at LinkedIn 2015

LinkedIn’s mission is to connect the world’s professionals to make them more productive and successful. LinkedIn members use the company’s products to get access to people, jobs, news, updates, and insights that help them be great at what they do. To support its goals on an engineering level, LinkedIn services must sustain high levels of QPS while providing data integrity. In this talk, we will discuss how LinkedIn uses Couchbase Server to help with read scaling and performance of its high impact services. We will also talk about some tooling we have created to integrate Couchbase Server into our systems and how we operationally manage our Couchbase Server clusters. Finally, we will explore some future uses of Couchbase Server within our environment.

PayPal: Creating a Central Data Backbone: Couchbase Server to Kafka to Hadoop and Back

PayPal: Creating a Central Data Backbone: Couchbase Server to Kafka to Hadoop and Back

Running a site like PayPal requires both huge scale and a lot of processing to support a complex growing business. Over time, the PayPal business faces a challenge in managing the user information required to run PayPal services. By leveraging Couchbase Server, the PayPal Data Service team is able to accommodate fast access to user information at scale while streaming data into Hadoop. The solution is able to process millions of updates a minute while leveraging Kafka’s high throughput capabilities to get this user data into the Hadoop cluster.

Moody’s Analytics: Finding NoSQL’s Home in the Enterprise Data Strategy Roadmap

Moody’s Analytics: Finding NoSQL’s Home in the Enterprise Data Strategy Roadmap

Moody’s Analytics helps capital markets and risk management professionals worldwide respond to an evolving marketplace with confidence. Choosing the right technologies to capture, analyze and customize data is crucial to the company’s offerings. In this session, you’ll hear how we evaluated NoSQL and the challenges we faced. This presentation’s goal is to provide an overview of the nuances involved in first figuring out the problem, the challenges encountered when searching for that technology silver bullet, and ultimately where NoSQL fits into the data strategy roadmap.