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.
IBM commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by migrating from open source Java EE application servers to WebSphere Application Server (WAS) Liberty. The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of a WAS Liberty migration on their organizations.
Open source is just a method to reaching a goal, not a goal in itself. In this overview, "The Top 5 Open Source Security Myths," you will be introduced to some of the largest misconceptions regarding open source security.
Guardian Digital's EnGarde Secure Linux is the world's premier secure operating platform engineered from Open Source Technologies. Written in an easy to read, plain-language format, you will get introduced to the full range of benefits that makes EnGarde "Secure By Design."
In this free webcast, learn how business intelligence is changing-and how to best keep pace with it. The amount of available data is exploding; yet much of it is kept in separate silos, where it can't be combined to form meaningful insights. This webcast introduces the latest business intelligence technology that can help you discover your insight "needle" in a haystack of data.
When you’re tasked with filling numerous open requisitions, you’ll typically source and engage candidates using the same traditional methods you’ve always used: you’ll post a job requisition online, wait for the flood of resumes to come in, then over-rely on tracking candidates via spreadsheets and emails. This isn't a winning strategy and it actually makes the recruiting process longer, more expensive, and less effective for building a powerhouse workforce.
Want to get even more value from your Hadoop implementation? Hadoop is an open-source software framework for running applications on large clusters of commodity hardware. As a result, it delivers fast processing and the ability to handle virtually limitless concurrent tasks and jobs, making it a remarkably low-cost complement to a traditional enterprise data infrastructure. This white paper presents the SAS portfolio of solutions that enable you to bring the full power of business analytics to Hadoop. These solutions span the entire analytic life cycle – from data management to data exploration, model development and deployment.
Virtualization offers significant agility and efficiency benefits. Pre-tested and optimized solutions from HP and Red Hat® are your fastest—and most cost-effective—path to get there. HP and Red Hat—two trusted business partners—have collaborated to create an answer. HP RA for Red Hat on ConvergedSystem 700x combines proven HP Converged Infrastructure components—to speed virtual server deployments—with open-source Red Hat Enterprise Virtualization software. The result is a compelling, cost-effective platform for consolidating your Linux systems. Read this solution brief to learn more.
The reference architecture (RA) design described in this paper combines HP ConvergedSystem 700x and Red Hat® Enterprise Virtualization, the open source choice for virtualizing workloads. At its core, the RA provides a foundation for building a high-performance Red Hat Enterprise Virtualization platform that has been optimized to consolidate and provision hundreds to thousands of workloads while providing extremely high availability at all levels – from the underlying network and storage fabrics up to the virtual machine (VM) layer. Pre-configured to meet a range of business needs, HP ConvergedSystem 700x offerings can be easily and rapidly deployed to support a variety of virtualized application environments. HP does all the work, using balanced building blocks of servers, storage, and networking, along with integrated management software and bundled support. Read this technical whitepaper to learn more.
Tier-1 Original Equipment Manufacturers (OEMs) like HP, Dell and Lenovo are facing new competition from Original Design Manufacturers (ODMs), and other companies providing “white-box” equipment based on open-source specifications. As this paper will discuss, there are more factors than initial price
Published By: Symantec
Published Date: Apr 02, 2015
The discovery of the Heartbleed bug in April, 2014 exposed a serious vulnerability in OpenSSL, an open-source cryptographic library often used with applications and web servers like Apache and Nginx. This latest high profile, targeted attack allowed infiltrators access to the memory of web servers running vulnerable versions of the library. Heartbleed quickly compromised the privacy for communications applications on the Web such as e-commerce, banking, email, and instant messaging, and opened the door to the interception of user information, passwords, and identities.
While the world now knows of the widespread havoc Heartbleed has caused to both businesses and individuals, it begs the question, “What happens when the next Heartbleed (or worse) comes along, and what can an organization do to weather yet another chapter in an all-too-familiar string of debilitating attacks?
Learn how to properly select the right real-time security options for your organization and see how the right actionable security intelligence will allow for safer and more secure data and security operations.
Published By: ClearNova
Published Date: Aug 21, 2009
In the 1990s, client/server was the predominant architecture used to build business applications. The applications had rich functionality, were responsive, and satisfied users' needs. Client/server worked in a time where the only networks were the ones owned and controlled by the enterprise and the only user base was internal.
GroundWork has integrated best of breed open source tools, including Nagios 2.0, RRDtool, and MySQL with GroundWork-developed open source projects into a comprehensive suite for monitoring your entire IT infrastructure including servers, applications, and network devices. Download this white paper to learn more.
IT teams have long recognized that an enterprise-class IT management system is absolutely essential, especially given the mission-critical nature of most corporate IT networks. In order for robust IT monitoring and management functionality, they had no alternative but to use a proprietary solution. Download this white paper to learn about Open Source alternatives.