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Couchbase Mobile 101: How to Build Your First App

Couchbase Mobile 101: How to Build Your First App

Bring your laptops! You’ll learn the process of building an app from scratch that works online and offline. Learn about reading & writing Data, modeling app data the NoSQL way, adding sync in less than 5 minutes, enabling authentication, restricting data access, and adding role based security. By the end of this session you will be able to design and build your own app with Couchbase Mobile.

Data Modeling with Couchbase Server

Data Modeling with Couchbase Server

We’re all familiar with modeling data the relational way. When we move to a document database we need to think about things a little differently. In this talk we’ll look how best to plan, model and maintain your data using a document database. By diving into real world case studies of Couchbase users, we’ll look at the three main things you need to know about modeling your data in a document database: document design, key design and querying.

Enabling High Availability and Disaster Recovery in Couchbase Server

Enabling High Availability and Disaster Recovery in Couchbase Server

Join this demo-filled session to learn how to deliver continuously available mission critical apps across data centers. For today’s mission critical apps, high availability is no longer a ‘nice to have’ but is essential. Downtime and data loss is unacceptable, resulting in lost revenue. In this session we will cover the wide array of high availability and disaster recovery features available in Couchbase Server.

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

Spark with Couchbase to Electrify Your Data Processing

Spark with Couchbase to Electrify Your Data Processing

Apache Spark is a fast and general purpose engine for both large-scale data and stream processing. Mix built-in machine learning with Couchbase Server and you have a swiss army knife for real time data analytics. In this session you will learn about Apache Spark and how it fits into the Couchbase ecosystem. You will learn how to leverage core Spark components as well as higher level integrations like Spark SQL and Spark streaming. And since all talk and no play makes jack a dull boy, there will be plenty of code and demos!

Couchbase Mobile 102: How to Add Secure Sync To Your Mobile App

Couchbase Mobile 102: How to Add Secure Sync To Your Mobile App

In this session, you will learn how to build a mobile app using Couchbase Sync Gateway with a live demo. Topics will include: authentication, data partitioning, data access control, and data validation. By the end of this session, you will understand how to add secure sync to your Couchbase Mobile app using Sync Gateway.

Deep Dive into N1QL with Global Secondary Indexes

Deep Dive into N1QL with Global Secondary Indexes

Get a deeper look into Couchbase Server 4.0’s new Global Secondary Indexing feature. The session will cover concepts, architecture, and usage of global secondary index beyond the introductory level. Global Secondary Indexing provides an alternate indexing strategy for faster lookup and higher throughput. Topics include initial index build, index maintenance, index scan and index partitioning. This is an advanced session geared toward attendees with a working knowledge of N1QL and looking for an in-depth perspective on global secondary indexing.

Bank with Big Data – Data Science Use Cases in Finance with Hortonworks and Couchbase

Bank with Big Data – Data Science Use Cases in Finance with Hortonworks and Couchbase

Corporate IT organizations in the financial industry have been tackling data challenges at scale for many years now. Traditional sources of data in banking include Customer Account data, Transaction Data, Wire Data, Trade Data, Customer relationship management (CRM), General Ledger and other systems supporting core banking functions. Shortly after these “systems of record” became established, enterprise data warehouse (EDW) based architectures began to proliferate with the intention of mining the trove of real world data that Banks possess with an intention of providing Business Intelligence (BI) capabilities across a range of use cases – Risk Reporting, Customer Behavior, Trade Lifecycle, Compliance Reporting etc. .Banks, insurance companies and securities firms that have begun to store and process huge amounts of data in Apache Hadoop have better insight into both their risks and opportunities.


So what capabilities do Hadoop & NoSQL add to existing RDBMS based technology that did not exist before?The answer is that using Hadoop & NoSQL a vast amount of information can be stored at much lower price point. Thus, Banks can not only generate insights using a traditional ad-hoc querying model but also build statistical models & leverage Data Mining techniques (like classification, clustering, regression analysis, neural networks etc) to perform highly robust predictive modeling. Such models encompass the Behavioral and Realtime paradigms in addition to the traditional Historical mode. This talk will explore such key business challenges and how Hortonworks/Couchbase are driving innovation in the industry around Descriptive Analytics and Data Science.