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DataWorks Solution Brief

IBM DataWorks is a fully managed data preparation and movement service for IBM Cloud Data Services. It enables business analysts, developers, data scientists and engineers to put data to work with a simple yet powerful cloud based interface. DataWorks gives both technical and non-technical users across the enterprise a point and click solution to discover, cleanse, standardize, transform and move data in support of application development and analytic use cases.

Foundational Methodology of Data Science

In the domain of data science, solving problems and answering questions through data analysis is standard practice. Often, data scientists construct a model to predict outcomes or discover underlying patterns, with the goal of gaining insights. Organizations can then use these insights to take actions that ideally influence future outcomes for the better. The flow of IBM's data science methodology ensures that as data scientists learn more about the data and the modeling, they can return to a previous stage to make adjustments, iterate quickly and provide continuous value to the organization.

The Next Wave of Intelligent Applications, Powered by Apache Spark

Life revolves around prediction—for example, the route you take to get to work, whether to go on a second date, or whether or not to keep reading this sentence are all forms of prediction. Predicating our future is very much tied to progress. We use it to help us plan our lives so we can increase our likelihood of success. The problem is that the human mind cannot possibly process all of the insight flowing from big data. Machine learning is the answer to this problem, through its capacity to augment our decision making in the moment to deliver transformative business outcomes. We are already seeing machine learning powered by Apache Spark changing the face of innovation at IBM.

How API-led Connectivity Powers the Payer of the Future

Health insurance is undergoing a digital transformation driven by legislative, competitive, and consumer pressures. In order to survive and thrive amidst industry disruption, many progressive health insurers are pioneering new business models anchored by a modern, “composable," API-led approach to IT. Using case studies from Premera Blue Cross and other leading payer organizations, this paper addresses:

Trends driving digital transformation in health insurance, and how leading payers are responding
The benefits of API-led connectivity for health insurers
Design principles for an API-led connectivity architecture

The Rising Value of APIs

Data is one of the most valuable assets a business has. Companies are using data to provide more personalized, tailored experiences to their customers, analyzing customer and operational behavior to make better decisions, and providing web and mobile apps to their customers, employees, and partners. As the keys to that data, APIs themselves are becoming extremely valuable, and are poised to become even more precious to business in the future. In this whitepaper, we'll discuss how APIs are increasingly becoming a valuable part of how companies do business, and how they are going to change how we all do business in the coming months and years. Topics Covered:

How APIs are providing business value today.
How APIs will transform business in the future.
Real-world use cases of how companies are finding APIs increasingly valuable.

First, Break IT: How Application Networks Are Changing the Role of the CIO

The business of IT has changed dramatically. The emergence of an always-on, always-connected world means that old business models are being disrupted, consumers are demanding more, and the world is smaller and more connected than ever before. The traditional IT operating model is fracturing under the digital demands of their customers, partners and employees. Companies can try to become digital by trying to do things the old way, but they will fall behind, and will face increasing competition. In this ebook you'll learn:

How digital transformation is affecting your business
How to harness the digital revolution to your company's advantage
Real-world case studies of CIOs and senior IT execs who created a roadmap to increased agility, speed, and innovation

Couchbase Impact Report

Version 4.0 of the Couchbase Server NoSQL document database adds multi-dimensional scalability and global secondary indexes, improved cross-datacenter replication, and general availability of N1QL, Couchbase’s SQL-based query language.

Download the whitepaper to learn more!

Moving from Relational to NoSQL: How to Get Started

As enterprises adapt to the digital economy, development and operations teams have to build and maintain web, mobile, and IoT applications faster and at greater scale. At leading companies, NoSQL has become a foundation for success. The Couchbase white paper, “Moving from Relational to NoSQL: How to Get Started,” guides you through:

Choosing the right application for your first NoSQL project
Strategies for modeling relational data as documents
How to access documents within your application
How to migrate data from a relational to a NoSQL database
The basics of operating a NoSQL vs. a relational database

High Performance with Distributed Caching: Key Requirements for Choosing the Right Solution

Many caching solutions are complex, expensive, and lack the key features and capabilities you really need. Learn how to scale your applications while improving performance and cutting costs. This guide, “High Performance with Distributed Caching: Key Requirements for Choosing the Right Solution,” explains:

The key requirements for an effective distributed cache
Advantages and disadvantages of common solutions, including Oracle Coherence and memcached
How Couchbase provides a high-performance, low-cost, easy-to-manage caching solution

Developing Applications with Cross Data Center Replication (XDCR)

Mission critical applications need a database that is always on. While intra-cluster replication helps with server failures giving you high availability, your system still remains at risk from catastrophic failures. You may also need a way to improve the response time for users when they are globally distributed by replicating information closer to them.

In this white paper you'll see:

Overview of XDCR and its main benefits
XDCR architecture, topologies and use cases
How to develop applications with XDCR
Data flow, failover and consistency considerations with XDCR

2015 NoSQL Database Evaluation Guide

While every company has its own specific set of requirements for the NoSQL database technology that best fits its use case(s), there’s a core set of requirements that figure into most evaluations. Those requirements fall into eight categories: Data Access, Performance, Scalability, Availability, Multiple Data Centers, Big Data Integration, Administration, and Mobile. This paper delves deeply into each core requirement followed by a comparison of leading NoSQL databases.

Criteo Case Study

Avec Couchbase Server, Criteo stimule la performance et la montée en charge horizontale de la plate-forme publicitaire numérique.

Market Guide for NoSQL DBMSs

NoSQL DBMSs continue to disrupt modern data management and application development. Traditional vendors are reacting and complicating the decision process for information managers. This Market Guide explores NoSQL developments, vendor reactions and where the market may be heading over the next year.

The NoSQL Tech Comparison Report

In this report, Altoros compares the architecture of three leading NoSQL databases: MongoDB, DataStax Enterprise, and Couchbase Server. The comparison covers infrastructure, administration, deployment, development, and performance and scalability.

In addition, Altoros scores the databases based on twenty (20) evaluation criteria ranging from topology to monitoring to integration. Learn how well Couchbase Server, MongoDB, and Apache Cassandra implement:

Deployment, Fault Tolerance, Persistence
Configuration, Disaster Recovery, Monitoring
Availability, Stability
Integration, Support, Usability
Performance & Scalability

How would you score the databases?

Why NoSQL?

The convergence of social networks, mobile platforms, connected things, big data and cloud infrastructure redefined interactive applications. It redefined the number of users, the data, the infrastructure and a new generation of databases emerged.
Today, successful enterprises are moving beyond relational databases. In the white paper Why NoSQL?, you’ll learn:

How to meet user experience requirements
How to improve developer productivity
How to reduce operational costs
How to improve market agility