Saturday, 2 May 2015
Exact maximum clique algorithm for Large or Maximum Real Graphs
Here's an explanation of how BBMCSP (an exact maximum clique algorithm tailored for massive real networks) works.
Hexagon is the new circle
The Zeta Architecture is an enterprise architecture that enables simplified business processes and defines a scalable way for increasing the speed of integrating data into the business. Using Google as an example, Jim Scott explains the Zeta Architecture.
Friday, 1 May 2015
WEBINAR: Move Your Enterprise from a Table Centric View to an Entity Centric View - May 07, 2015
This event is presented by O’Reilly and sponsored by Novetta.
You have successfully stored large amounts of raw data into Hadoop for advanced analytics. But now what? How do you analyze this data from a perspective that makes the data meaningful to provide actionable insight? Why is it so important for enterprises to think about their data from the perspective of entities and not tables? Our discussion will focus on the following topics:
How much guesswork is involved in trying to analyze data?
Importance of unifying data without changing the source data
Why it's difficult to combine data from multiple sources and the problems that occur
Why not just use Pig or Java to write rules for combining data?
Register here.
You have successfully stored large amounts of raw data into Hadoop for advanced analytics. But now what? How do you analyze this data from a perspective that makes the data meaningful to provide actionable insight? Why is it so important for enterprises to think about their data from the perspective of entities and not tables? Our discussion will focus on the following topics:
How much guesswork is involved in trying to analyze data?
Importance of unifying data without changing the source data
Why it's difficult to combine data from multiple sources and the problems that occur
Why not just use Pig or Java to write rules for combining data?
Register here.
WEBINAR: Managing Big Data Workloads in Hybrid Environments Across SaaS, PaaS, and On-Premise - May 20, 2015
Hosted by Data Informed, sponsored by IBM
Historically, business processes were located only in private data centers where all the servers are behind firewalls. This traditional model is evolving. As organizations come to appreciate the cost savings that cloud solutions can provide, application developers are looking to a variety of hosting platforms, including SaaS, PaaS, and hybrid models.
But along with these cost advantages come challenges including security, data privacy, regulatory compliance, access management, and auditing that prevent companies from moving everything to the cloud. A hybrid cloud solution can address these challenges while delivering the cost savings that cloud provides.
Attend this webcast to learn how to optimize and control business process execution across hybrid environments. Hear IT industry analyst and consulting firm Enterprise Management Associates describe how it addresses its workload automation needs in a cloud environment.
Attend to understand:
• How big data and analytics is changing approaches, roles, and skills in the cloud era
• Business drivers for cloud solutions
• How to develop an effective hybrid cloud strategy
• Ways that automation enables the decoupling of workloads from physical resources
• How to smoothly transition from on-premise to cloud with ITSM tooling that helps manage end-to-end the applications, regardless of where they are hosted.
Register today here to learn how to capitalize on the advantages that hybrid cloud offers for managing big data workloads.
Historically, business processes were located only in private data centers where all the servers are behind firewalls. This traditional model is evolving. As organizations come to appreciate the cost savings that cloud solutions can provide, application developers are looking to a variety of hosting platforms, including SaaS, PaaS, and hybrid models.
But along with these cost advantages come challenges including security, data privacy, regulatory compliance, access management, and auditing that prevent companies from moving everything to the cloud. A hybrid cloud solution can address these challenges while delivering the cost savings that cloud provides.
Attend this webcast to learn how to optimize and control business process execution across hybrid environments. Hear IT industry analyst and consulting firm Enterprise Management Associates describe how it addresses its workload automation needs in a cloud environment.
Attend to understand:
• How big data and analytics is changing approaches, roles, and skills in the cloud era
• Business drivers for cloud solutions
• How to develop an effective hybrid cloud strategy
• Ways that automation enables the decoupling of workloads from physical resources
• How to smoothly transition from on-premise to cloud with ITSM tooling that helps manage end-to-end the applications, regardless of where they are hosted.
Register today here to learn how to capitalize on the advantages that hybrid cloud offers for managing big data workloads.
WEBINAR: Designing Applications in the era of IoT May 12 2015
The demand for smarter data-driven apps, powered by embedded “intelligence” continues to grow as organizations look to better understand and engage the new mobile and social consumer and create competitive advantage. In fact, Forrester predicts smart computing software will become a $48 billion market, while Gartner projects that 25% of analytic capabilities will be embedded in business applications this year. From personalized portals, to wearables, to connected devices that have been wired up to the Internet of Things (IoT), the data that will feed – and be consumed by a new generation of information apps – is all around us. Yet, just as moving to a mobile-first design mindset required some new skills and tools, designing information apps in the era of IoT is very much an art and a science.
Starting with an understanding of the key roles of analytics, we can look at the best ways to attach data to experiences, and how to embed insights that boost user adoption and engagement. We’ll review these approaches, as well as how and why analytical tools are becoming more mobile, more predictive, and more embeddable in nearly any app or device.
During this webcast you will learn:
The top use cases for embedded analytics, and how an “analytic process” can guide the transformation of big (and small) data into useful insights and interactions
How our integrated design approach – based on open source foundations and rich APIs – shorten the time to connect to new data sources, deploy apps securely, and display interactive data visualization at scale, in any app, on any device (even a smartwatch!)
Why good information design and emerging best practices for embedding analytics are key to delivering more personalized information, driving user adoption, and delighting end-customers
Register here.
Starting with an understanding of the key roles of analytics, we can look at the best ways to attach data to experiences, and how to embed insights that boost user adoption and engagement. We’ll review these approaches, as well as how and why analytical tools are becoming more mobile, more predictive, and more embeddable in nearly any app or device.
During this webcast you will learn:
The top use cases for embedded analytics, and how an “analytic process” can guide the transformation of big (and small) data into useful insights and interactions
How our integrated design approach – based on open source foundations and rich APIs – shorten the time to connect to new data sources, deploy apps securely, and display interactive data visualization at scale, in any app, on any device (even a smartwatch!)
Why good information design and emerging best practices for embedding analytics are key to delivering more personalized information, driving user adoption, and delighting end-customers
Register here.
Demand for Data Scientists, Math Experts Continues Surge
Strong math skills are a key to landing some of the best U.S. job opportunities -- particularly data scientist positions, according to job search portal CareerCast's 2015 Jobs Rated report. Four of the 10 best jobs focus on mathematics, the study says. Read here on +Information Management
Don't Let Your SaaS Solutions Become Tomorrow's Data Silos in the Cloud
Can your SaaS platforms support data and workflow integration or are they data silos in the cloud? Interesting blog from +Isaac Sacolick
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