Open-source is becoming an increasingly critical component being leveraged by agile enterprises. The capital investment required to develop next generation business solutions demands that components be built and targeted to the platform best suited for the task. Understanding the tools available for you or your developers to gain efficiencies to build solutions once, and deploy on a choice of scalable and reliable platforms is of paramount importance.
SPSS and open source seamlessly complement each other. With open source, IBM makes it easy to build your own extensions, adding new functionality to existing products. Coding is not required for the use of extensions. IBM offers an extensive library of already developed extensions that can be downloaded and used immediately.
Apache Spark hit the scene in 2014 and has grown to be the most popular software project in the history of Open Source. Attend this webinar and learn more about;
-What is Apache Spark?
-Why, is it so popular?
-Why is it important to you and your organization?
Apache Spark is allowing companies to drive innovative ways to compete using one of the most valuable assets in the 21st century, Data! Apache Spark is the fastest growing framework for powering Big Data Analytics today and for the future. Register to attend this webcast and learn more.
Is your software defined infrastructure (SDI) for high performance computing (HPC) and big data analytics meeting the needs of your growing business? Would you like to know how to justify the switching cost from unsupported open source software to a commercial grade SDI that ensures your resources are more effectively used cutting down time to market? This webcast will give you an overview of the true costs of building out and managing a HPC or Big Data environment and how commercial grade SDI software from IBM can provide a significant return on investment.
SPSS and open source seamlessly complement each other. With open source, IBM makes it easy to build your own extensions, adding new functionality to existing products. Coding is not required for the use of extensions. IBM offers an extensive library of already developed extensions that can be downloaded and used immediately. Join IBM's open source community and instantly boost your predictive analytics.
Listen to videos with WIRED Editor Jim Daily and technology experts from The Linux Foundation, Canonical/Ubuntu, SUSE, The Met Office and IBM as they discuss how the latest hybrid cloud infrastructure technology and the best of Linux and open source can yield business innovation and growth.
Open Source application servers aren't "free." Download the Total Economic Impact of Migrating From Open Source Application Servers to IBM WAS Liberty, a Forrester Consulting Total Economic Impact Study commissioned by IBM to learn how much you can save by migrating away from open source.
WebSphere Liberty can deliver 122% ROI, reduce infrastructure costs by $350K and improve developer productivity by 12% over open source application server alternatives.
In today’s world, the data is flowing from all directions: social media, phones, weather, location and sensor equipped devices, and more. Competing in this digital age requires the ability to analyze all of this data, and use it to drive decisions that mitigate risk, increase customer satisfaction and grow revenue. Using a combination of proprietary software and open source technology can give your data scientists and statisticians the analytical power they need to find and act on insights quickly.
IBM® SPSS® Statistics provides all of the data analysis tools you need, and integrates with thousands of R extensions for maximum power and flexibility. In this next Data Science Central Webinar event, we will show how SPSS Statistics can help you keep up with the influx of new data and make faster, better business decisions without coding.
Today, it’s unlikely that a single database will meet all your needs. For a
variety of reasons—including the need to support cloud-scale solutions
and increasingly dynamic app ecosystems—startups and enterprises
alike are embracing a wide variety of open source databases.
These varied databases—including MongoDB, Redis and PostgreSQL—
open doors to building sophisticated and scalable applications on
battle-hardened, non-proprietary databases.
Published By: CrownPeak
Published Date: Jun 30, 2009
Congratulations you've decided to embark on the journey to implement a content management system (CMS) for your Web site. This document assumes that you have already built the business case for purchasing a CMS and has been signed off on by the appropriate stakeholders. Learn more today!
Published By: CrownPeak
Published Date: Jun 30, 2009
This is the second of a three part CrownPeak White Paper exploring Why Content Marketing Is Online Marketing. In this series we present the new idea that Web content marketing is the central and most important tenet of online marketing. Today, the function of online marketing revolves around the Web which, itself, revolves around content. So as we talk about online marketing/marketers and content marketing/marketers consider them and yourself one and the same. Learn more today!
Published By: CrownPeak
Published Date: Jun 30, 2009
The content management market has exploded in size in recent years with the availability of platforms like Open Source and SaaS giving way to scores of solutions in a variety of sizes and complexities. While companies are spoiled for choice, the unprecedented volume of solutions makes selecting the right content management system (CMS) for an organization an increasingly difficult task. Learn more today!
Data professionals now have the freedom to create, experiment, test and deploy different methods easily – using whatever skill set they have – all within one cohesive analytics platform. IT leaders gain the ability to centrally manage the entire analytics life cycle for both SAS and other assets with one environment. Organizations get faster results and better ROI from analytics efforts.
What if we stopped arguing over which analytics software is best, and decided instead to use them all? With today’s analytics technologies, the conversation about open analytics and commercial analytics is no longer an either/or discussion. You can now combine the benefits of SAS and open source analytics within your organization. Download this e-book to learn how businesses in multiple industries are integrating disparate code and information to deploy models and deliver critical results with analytics.
With the widespread adoption of predictive analytics, organizations have a number of solutions at their fingertips. From machine learning capabilities to open platform architectures, the resources available to innovate with growing amounts of data are vast.
In this TDWI Navigator Report for Predictive Analytics, researcher Fern Halper outlines market opportunities, challenges, forces, status and landscape to help organizations adopt technology for managing and using their data. As highlighted in this report, TDWI shares some key differentiators for SAS, including the breadth and depth of functionality when it comes to advanced analytics that supports multiple personas including executives, IT, data scientists and developers.
Data professionals now have the freedom to create, experiment, test and deploy different methods easily using whatever skill set they have and all within one cohesive analytics platform. IT leaders gain the ability to centrally manage the entire analytics life cycle for both SAS and other assets with one environment. Organisations get faster results and better ROI from analytics efforts.
How can you open your analytics program to all
types of programming languages and all levels of
users? And how can you ensure consistency across
your models and your resulting actions no matter
where they initiate in the company?
With today’s analytics technologies, the conversation
about open analytics and commerical analytics is no
longer an either/or discussion. You can now combine
the benefits of SAS and open source analytics
technology systems within your organization.
As we think about the entire analytics life cycle, it’s
important to consider data preparation, deployment,
performance, scalability and governance, in addition
to algorithms. Within that cycle, there’s a role for
open source and commercial analytics.
For example, machine learning algorithms can
be developed in SAS or Python, then deployed in
real-time data streams within SAS Event Stream
Processing, while also integrating with open systems
through Java and C APIs, RESTful web services,
Apache Kafka, HDFS and more.
If you specialize in relational database management technology, you’ve probably heard a lot about “big data” and the open source Apache Hadoop project. Perhaps you’ve also heard about IBM’s new Big SQL technology, which enables IBM® InfoSphere® BigInsights™ users to query Hadoop data using industry-standard SQL. Curious? This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
Published By: Appcito
Published Date: Apr 09, 2015
Appcito CAFE (Cloud Application Front End) is an easy-to-deploy, uni?ed and cloud-native service enabling cloud application teams to select and deploy enterprise-grade L4 to L7 application network services. The multi-cloud CAFE service is available for the OpenStack
open-source cloud computing software platform. OpenStack is a multivendor ecosystem used to deploy Infrastructure-as-a-Service (IaaS) solutions. It allows users to bring compute, storage, and networking resources into private and public clouds through a set of open APIs.
Published By: Internap
Published Date: Nov 11, 2015
This cloud buyer’s guide includes important information about the advantages of an open source cloud platform, benefits of managed services and self-service as well as considerations for evaluating cloud solutions.
Let’s be honest: If you’re just using one or two social providers for a simple web application, without needing a username/password
database yourself, or any other more elaborate features, it is easy enough to DIY. By all means, leverage the basic authentication
libraries you can find in any open source framework, and be done with it.