Sponsor: IBM Corporation

IBM Db2 Hosted offers the same functionality as its on-premises equivalent, and is powered by the secure, high-performance IBM Cloud.

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This white paper presents seven essential elements for high-performance information integration and how they apply to business and technical decision makers responsible for designing, building, supporting and using scalable data processing systems.

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This paper gives key considerations when making a strategic commitment to a database platform.

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Predictive analytics can help drive significant improvement to an organization's bottom line.This eBook from Ventana Research explores the many ways businesses can use predictive analytics to grow revenue, shrink costs and improve margins.

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Machine learning automates the development of analytic models that can learn and make predictions on data. It has been one of the fastest growing disciplines within the world of statistics and data science, but the barrier to entry has been high.

Data science platforms are engines for creating machine-learning solutions. This report evaluates 16 providers of data science platforms.

Read this white paper to learn:

• How Apache Spark is broadening access to machine learning
• Various machine learning use cases and scenarios
• Why Apache Spark is the ideal platform for machine learning

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Introducing Notebooks: A power tool for data scientists Fast, flexible and collaborative data exploration and analysis Data exploration and analysis is a repetitive, iterative process, but in order to meet business demands, data scientists do not always have the luxury of long development cycles. What if data scientists could answer bigger and tougher questions faster? What if they could more easily and rapidly experiment, test hypotheses and work more collaboratively on interactive analytics?

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IBM named a leader for data science platforms

Data science platforms are engines for creating machine-learning solutions. This report evaluates 16 providers of data science platforms.

Read the report to learn:

• Why IBM is recognized as a leader
• Why data science, analytics, and machine learning are the engines of the future

Complete the form to read the report today.

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The synergy between predictive analytics and decision optimization is critical to good decision making. Predictive analytics offers insights into likely future scenarios, and decision optimization prescribes best-action recommendations for how to respond to those scenarios given your business goals, business dynamics, and potential tradeoffs or consequences.

Together, predictive analytics and decision optimization provide organizations with the ability to turn insight into action—and action into positive outcomes.

In this white paper, you’ll gain a better understanding of:

• The difference between predictive and prescriptive analytics
• How predictive and prescriptive actions complement one another to help you achieve optimized business decisions
• IBM’s approach to creating a powerful end-to-end decision management system

Read the paper today to discover how to bridge the gap between insight and action.

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The IBM Cloudant Product Report, developed with TrustRadius based on user reviews, showcases why TrustRadius designated Cloudant as a “Top Rated Product” in its NoSQL Databases category. You’ll learn why users chose the Cloudant JSON doc store, built on open source Apache® CouchDB™, to develop their scalable and always-on web, mobile and Internet of Things apps, through reviews like these:

• “Replication: powerful and easy DevOps function to save, copy or back up the data from one Cloudant database to another”
• “[Cloudant] allows us to scale our growth in the terms of transactions without too many headaches”
• “Switching to Cloudant meant my administration time went from two hours to about five minutes per week”

The IBM Cloudant Product Report will also explain why Cloudant is ideal for apps that perform offline, and how its built-in geospatial querying and integrated connectors to analytics tools make it purpose-built for developers bringing new data-driven capabilities to their apps.

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The potent combination of NoSQL databases, like IBM Cloudant, and Apache Spark provide developers and data scientists with access to rapid integration, transformation and analysis of all kinds of business data.

This free ebook, "Getting Faster Insights from Application Data with IBM Cloudant and Apache Spark," explains how to deploy the open source Spark-Cloudant connector to conduct in-memory analytics of your Cloudant JSON data in a Jupyter Notebook. Through examples, this eBook showcases:

• How one company used Cloudant and Spark to conduct smarter, real-time maintenance of its assets using connected sensors
• How Notebooks offer a powerful back-end interface for data science and analysis, while displaying text and annotations, code and data, and visualizations, all in the same environment
• How to get started with analytics on your own JSON data while tapping into additional features of Cloudant, such as offline data access and native support for GeoJSON

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There are many types of databases and data analysis tools to choose from when building your application. Should you use a relational database? How about a key-value store? Maybe a document database? Is a graph database the right one? What about polyglot persistence and the need for advanced analytics?

If you feel a bit overwhelmed, don’t worry. This guide lays out the various database options and analytic solutions available to meet your app’s unique needs. You’ll see how data can move across databases and development languages, so you can work in your favorite environment without the friction and productivity loss of the past.

This field guide will help you answer:

• What are the defining characteristics and strengths of today’s different cloud databases?
• How can data in NoSQL stores be analyzed to learn more about your customers?
• How are different open source databases used together to achieve polyglot persistence?

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Today’s leading enterprises are transforming digitally, jumping head first into the API economy. Transformations are being driven by connected devices and consumers’ thirst for compelling brand experiences—all generating a vast and ever-growing amount of data.

In the API economy, application programming interfaces (APIs) act as the digital glue that links services, applications and systems. This allows businesses to make the most of their data to create compelling customer experiences and open new revenue channels. This TechBytes series sponsored by IBM explores why APIs, why should you care as a Developer and IT Manager and how you can make a difference. It will help you make it real and describe who you can partner with internally and externally.

About the presenter:

Amit Acharya is a Program Director, Product Management & Strategy, IBM API Connect & Gateways. Amit is responsible for leading the strategy, roadmap and offering deliverables for API Connect. He is passionate about technology and loves interacting with various customers.

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Today’s leading enterprises are transforming digitally, jumping head first into the API economy. Transformations are being driven by connected devices and consumers’ thirst for compelling brand experiences—all generating a vast and ever-growing amount of data.

In the API economy, application programming interfaces (APIs) act as the digital glue that links services, applications and systems. This allows businesses to make the most of their data to create compelling customer experiences and open new revenue channels. This TechBytes series sponsored by IBM explores why APIs, why should you care as a Developer and IT Manager and how you can make a difference. It will help you make it real and describe who you can partner with internally and externally.

About the presenter:

Amit Acharya is a Program Director, Product Management & Strategy, IBM API Connect & Gateways. Amit is responsible for leading the strategy, roadmap and offering deliverables for API Connect. He is passionate about technology and loves interacting with various customers.

View IBM's privacy policy here

Today’s leading enterprises are transforming digitally, jumping head first into the API economy. Transformations are being driven by connected devices and consumers’ thirst for compelling brand experiences—all generating a vast and ever-growing amount of data.

In the API economy, application programming interfaces (APIs) act as the digital glue that links services, applications and systems. This allows businesses to make the most of their data to create compelling customer experiences and open new revenue channels. This TechBytes series sponsored by IBM explores why APIs, why should you care as a Developer and IT Manager and how you can make a difference. It will help you make it real and describe who you can partner with internally and externally.

About the presenter:

Amit Acharya is a Program Director, Product Management & Strategy, IBM API Connect & Gateways. Amit is responsible for leading the strategy, roadmap and offering deliverables for API Connect. He is passionate about technology and loves interacting with various customers.

View IBM's privacy policy here

A big data integration platform that is flexible and scalable is needed to keep up with today’s ever-increasing big data volume. IBM's information integration platform is ready to scale and perform with the ever-changing amount and types of data.

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