Machine Learning with Spark

Organizations of all kinds need data scientists. Accordingly, as part of its commitment to data science, IBM is making available technology, almost 10 years in incubation, designed to help organizations apply machine learning through Apache Spark. Doing so can bring significant benefits to the analytics industry as companies increasingly make space for machine learning in the enterprise.
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IBM is a Leader in the Forrester Wave™ – Big Data Hadoop Cloud Solutions, Q2 2016

Do you want to do Hadoop in the cloud? Explore the The Forrester Wave™: Big Data Hadoop Cloud Solutions, Q2 2016 report to understand how to evaluate Hadoop cloud solution vendors across 37-criteria.

The report explains the benefits for Hadoop cloud deployments including economizing the analysis of more data using cheaper infrastructure, enabling faster advanced analytics, scaling to unlimited resources in minutes, providing a self-service analytics platform, and simplifying big data deployment. Come away armed with how to evaluate IBM BigInsights on Cloud and other vendors across several dimensions including current offering, strategy and market presence. The Forrester Wave™: Big Data Hadoop Cloud Solutions, Q2 2016 report details how elasticity, automation and pay-as-you-go features are driving enterprise adoption of Hadoop in the cloud.

IBM differentiates BigInsights with end-to-end advanced analytics, and also has among the highest scores in the Cloud Platform Integration, data security, data management, partnerships and solution configuration criteria. Learn more about how to get started with Hadoop in the cloud with IBM.

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How to Build a Predictive Analytics Model to Foresee Flight Delays

This tutorial describes how data scientists and developers can build an application to predict flight delays. The app uses machine learning (Spark MLlib), fueled by publicly available airplane flight data and enriched with weather data, to predict flight delays due to weather conditions. In the event that a delay is likely, the app can also help determine the degree to which the flight will be delayed. To build the app, you will learn how to use a Get-Build-Analyze methodology and the IBM® Analytics for Apache® Spark™ service, which includes an interactive Jupyter Notebook. Learn how to:
  • Collect data from various sources, including weather and flight patterns.
  • Build the data collected, and test a predictive model.
  • Analyze the data for business advantage, and quantify the impact of weather on flight delays.

Get started building this flight prediction application, and gain inspiration for your next data science projects.

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Introducing Notebooks A Power Tool for Data Scientists

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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Mobile Security from Platform to Device: What you Need to Know Now

By next year over half of all US companies will formally support BYOD, bringing on the challenge of securing data and applications on devices that may often be in the hands malicious users, or worse – teenagers looking to win a game of Pokémon Go with mom’s work iPhone. And, thanks to the consumerization of IT, mobile users increasingly expect the same smooth user experience with business applications that is provided by popular games and consumer applications.

Fortunately, increased mobility and the bring your own device explosion don’t always add up to increased security challenges and UI/UX struggles. This Tech Byte series will look at the most important considerations when planning a mobile strategy – from application development platform to security and governance to user interface guidelines, and present best practices that businesses of all kinds can use to help ensure a successful shift towards a mobile-first enterprise.

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Mobility, Cloud, and the Enterprise: Mobile Application Strategies for Today

By next year over half of all US companies will formally support BYOD, bringing on the challenge of securing data and applications on devices that may often be in the hands malicious users, or worse – teenagers looking to win a game of Pokémon Go with mom’s work iPhone. And, thanks to the consumerization of IT, mobile users increasingly expect the same smooth user experience with business applications that is provided by popular games and consumer applications.

Fortunately, increased mobility and the bring your own device explosion don’t always add up to increased security challenges and UI/UX struggles. This Tech Byte series will look at the most important considerations when planning a mobile strategy – from application development platform to security and governance to user interface guidelines, and present best practices that businesses of all kinds can use to help ensure a successful shift towards a mobile-first enterprise.

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The Top 3 Monitoring Challenges IT Faces

The distributed nature of the modern technology world is exciting, promising—and really, really hard to keep track of. Instead of monolithic hardware and software stacks in a data center, technology resources exist—ideally—wherever and however they’re most effective.

That means that cloud applications can be delivered from many different locations to many different users, and that various pieces of the infrastructure could be hosted or delivered by as many outside providers. And the applications multiply quickly, as do the servers and memory storing this constantly created new information.

Download this free guide to learn three of the biggest challenges IT is facing and what can be done to solve them.
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5 Steps of Moving Apps to the Cloud

Business applications are headed to the cloud in record numbers, bringing users and IT teams into a new model of accessing services and resources. It’s a big switch from traditional apps, both for users and for their IT support teams.

This guide provides five key steps to help you prepare up-front and keep the control you need throughout the move to the cloud.
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How to Uncover Your SaaS App Problems

SaaS is now the standard for companies implementing business applications or services. But what's actually happening with those applications' performance and their related user experiences has remained a mystery to many of the IT teams tasked with monitoring them.

Traditional tools for application monitoring aren't made for SaaS applications, but there are other ways you can gain insight into all your apps, whether on-premises or off.

This free guide will walk you through a few key steps to get to the root of how your SaaS applications are performing.
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Gartner Names MuleSoft a Leader – Magic Quadrant for Enterprise Integration Platform as a Service

MuleSoft Positioned as a Leader 3 Years in a Row

Read this complimentary copy of the 2016 Gartner Magic Quadrant for iPaaS, and find out why MuleSoft was named a Leader based on completeness of vision and the ability to execute.

  • Expert perspectives on the iPaaS vendor landscape
  • Critical analysis of key differentiators
  • Latest developments in integration technology
  • Industry benchmarks and trends

Magic Quadrant for Enterprise Integration Platform as a Service, Worldwide, Keith Guttridge, Massimo Pezzini, Paolo Malinverno, Kimihiko Iijima, Jess Thompson, Eric Thoo, Elizabeth Golluscio, 24 March 2016
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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7 Habits of Effective API and Service Management

This brief API management best practices eBook will give API strategists, architects and developers a roadmap for creating practical APIs by leveraging existing services. By following the 7 best practices outlined in this ebook, developing successful APIs is easier than you think.

The best practices guide will cover:

  • The relationship between SOA and API management
  • How to think about and approach API design
  • A pattern for securing and managing your APIs
  • Things to consider when selecting an API management solution

Download your services and API management best practices ebook now!

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Best Practices for Microservices

Today's business environment is extraordinarily competitive. No company, no matter its size or what industry it is in is safe from disruption. To mitigate this risk, it's important to consider implementing microservices best practices in order to change quickly, innovate easily, and meet competition wherever it arises.

Organizations that have successfully laid a foundation for continuous innovation and agility have adopted microservices architectures to respond rapidly to the never-ending demands of the business.

In this whitepaper, we will address:

  • Why microservices are such an important software trend
  • Design principles for a microservices architecture
  • How Anypoint Platform can help you implement microservices best practices in your organization
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