Couchbase Server’s new spatial views feature is not just there for your geospatial indexes, it can also be used to build multi-dimensional indexes on any number of metrics. Even combined indexes (e.g. number of people living in a geographic region) can be built and queried by using this feature. This talk will explain typical use cases, how to best write your map function, and how to query multi-dimensional views enabling you to write location-aware applications with Couchbase Server 4.0.
The new indexing technology in Couchbase Server 4.0 advances query performance to new heights. In this talk, Director of Product Management, Cihan Biyikoglu will explore the capabilities of the new indexing technology from head-to-toe. First, we will cover primary and secondary index types. We will then explore indexers: M/R views vs global secondary indexes, index administration, monitoring, best practices and much more. If you are a developer, architect or an administrator looking to use N1QL in your next application, you won’t want to miss this talk.
Reporting is paramount to enterprises. Having the ability to access any dataset to generate ad-hoc reports improves your ability to accrue actionable insights from massive amounts of data collected. This talk will discuss how Roomlia is using N1QL to dynamically extract data directly from Couchbase with less developer intervention.
Enterprise architects have to decide on the database platform that will meet various requirements: performance and scalability on one side, ease of data modeling, agile development on the other, elasticity and flexibility to handle change easily, and a database platform that integrates well with tools and within ecosystem. This presentation will highlight the challenges and approaches to solution using Couchbase with N1QL.
Web, mobile & IoT apps are the heart of the new Digital Economy – a multi-trillion-dollar business opportunity – and NoSQL is the operational database powering those apps. Enterprises across every industry – not just Internet Age companies like LinkedIn and PayPal, but also established incumbents like Nike and GE – are deploying NoSQL to build great web, mobile & IoT apps that deliver exceptional experiences. Learn how Couchbase is taking NoSQL innovation to the next level.
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.
This talk shows how to build scalable, reactive, and fault tolerant applications by making use of RxJava and the brand new fully reactive Couchbase Java SDK 2.x. We will also cover stability patterns and how our brand new query language, “N1QL” fits into the picture. This subject is important, as applications that exclusively rely on synchronous data access often hit a scalability wall when responses slow down and thread pools are exhausted. New paradigms, like reactive programming, alleviate the wasting of resources by dispatching them where they can do useful work and provide extensive toolsets to deal with the ever growing demands of web applications.
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.
Old application? Ugly or outdated designs? High cost of maintenance? An in-depth look into our experience in using Couchbase as a catalyst to modernize a standalone software appliance into cloud-based horizontally-scalable services.