Big data integration and Hadoop
Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage.
Data Visualization: When Data Speaks Business
See why organizations are increasingly recognizing that to be competitive, they need to be data-driven, for which they need not only strong analytics and BI capabilities at all decision levels, but also an effective way to transform data into information and ensure its optimal delivery.
Follow the Money: Big Data ROI and Inline Analytics
Wikibon conducted in-depth interviews with organizations that had achieved Big Data success and high rates of returns. These interviews determined an important generality: that Big Data winners focused on operationalizing and automating their Big Data projects. They used Inline Analytics to drive algorithms that directly connected to and facilitated automatic change in the operational systems-of-record. These algorithms were usually developed and supported by data tables derived using Deep Data Analytics from Big Data Hadoop systems and/or data warehouses. Instead of focusing on enlightening the few with pretty historical graphs, successful players focused on changing the operational systems for everybody and managed the feedback and improvement process from the company as a whole.
Is your Database Ready for the Era of Big Data?
You need a database designed to control both the infrastructure and personnel costs that form the IT budget. The next generation of IBM DB2 helps organizations get more value from their big data to improve their IT economics. Major innovations provide out-of-the-box performance gains that go beyond the limitations of in-memory-only systems to support decision making at the speed of business.
In-Memory Databases Put the Action in Actionable Insights
In order to derive business value from Big Data, practitioners must have the means to quickly (as in sub-milliseconds) analyze data, derive actionable insights from that analysis, and execute the recommended actions. While Hadoop is ideal for storing and processing large volumes of data affordably, it is less suited to this type of real-time operational analytics, or Inline Analytics. For these types of workloads, a different style of computing is required. The answer is in-memory databases.
Industry Solution Brief: Five Warning Signs it’s Time to Rethink Branch IT
By reading this brief, you will understand the 5 warning signs it’s time to rethink your branch IT, and how to embrace Zero Branch IT for greater data protection, better agility, maximum business continuity, optimal performance, and lower TCO.
Seven Ways SteelFusion 4.0 and Branch IT are Similar to Your Smartphone
Branch offices are the growth engines of today's enterprises. So when you consider that, on average, more than 50% of an organizations employees are located in branch offices, nearly 50% of corporate data resides in them, and 50% of IT dollars are spent powering them, the overhead and investments seem reasonable.
But while branch offices and other remote sites are critical for productivity and revenue generation, they're also a giant headache for IT to manage.
Why? Because all of that data is often in high-risk places and subject to loss, and backups are expensive, time consuming, and inefficient. Same goes with provisioning new physical servers and sites or restoring offices if downtime occurs. And lastly, think of the people in these branches. Few of them are skilled IT pros who can actually help keep branch applications and services in tiptop shape.
Spending all of this time, money, end effort managing branch IT makes you wonder if there's a better solution. Good news there is. And with today's launch of Riverbed SteelFusion 4.0, we can simply take a look at something were all quite familiar with to figure it out: our smartphones.
But while branch offices and other remote sites are critical for productivity and revenue generation, they're also a giant headache for IT to manage.
Why? Because all of that data is often in high-risk places and subject to loss, and backups are expensive, time consuming, and inefficient. Same goes with provisioning new physical servers and sites or restoring offices if downtime occurs. And lastly, think of the people in these branches. Few of them are skilled IT pros who can actually help keep branch applications and services in tiptop shape.
Spending all of this time, money, end effort managing branch IT makes you wonder if there's a better solution. Good news there is. And with today's launch of Riverbed SteelFusion 4.0, we can simply take a look at something were all quite familiar with to figure it out: our smartphones.
Data Center Design Best Practices Technical Brief
Written for Data Center Managers interested in optimal data center design to save time and money, the Data Center Selection and Design Best Practices technical brief outlines the top 5 design best practices honed by years of experience from a leading data center services provider. Creating and maintaining data centers is a complex exercise that balances power, cooling, space, cost, and planning for the future. Explore the best practices to use when designing a data center or selecting a colo provider.
Six Important Considerations when Choosing a Colocation Provider White Paper
Choosing a colocation provider can be tough. There are so many new business requirements that necessitate a move into a colo solution that administrators are often left with more questions than answers. The choice of your colo services provider will impact your ability to achieve your business goals. Make sure you are asking the right questions by downloading the "Six Important Considerations When Choosing a Colocation Provider".
2015 Gartner Magic Quadrant for Web App Firewall
Imperva, a leading provider of cyber security solutions is once again the only leader in Gartner’s Magic Quadrant for Web Application Firewall—the only company positioned in the leader’s quadrant by Gartner in each of the two years this report has been published.
From Data to Action: Governance and Integration Shape Successful Information Strategies
This IT Managers Journal looks at many aspects of data governance including policy, business rules and standards, and offers best-practice advice as to what steps the enterprise should be taking today to ensure business units are getting the maximum value out of enterprise data while further ensuring compliance with security, regulatory and technology mandates. This ITMJ looks at processes and tools that help manage and leverage value of data governance with minimal impact on today’s data-heavy business practices.
2015 State of Embedded Analytics Report
The 2015 State of Embedded Analytics Report looks to provide insights to executives, product managers, and technology leaders on why and how organizations embed analytic capabilities within their applications. We delve into the strategic vision, the business case, and the implementation approaches for embedding analytics.
At Logi Analytics, our vision is to create a smarter world by making analytics available to everyone. The traditional approaches to business intelligence are fading, marred by a long track record of expensive and ineffective solutions. In order to create data-driven organizations, applications must bring data and insights to life in an agile, intuitive, and resource-efficient way.
Analytics For All: The Time Has Come
Learn why IBM developed Watson Analytics, the differences between Watson Analytics and Watson and more in this IBM point of view paper.
API Monetization: How to Unlock the Value of Your APIs
It should come as no surprise that exposing business data outside of the enterprise creates a range of new security and management challenges. API Management solutions make it simple for even the most security-conscious organization to open their information assets without impacting data security
or the performance of backend systems. So in the end, you can focus not on the risks of API monetization, but rather, on the rewards.
Driving Business Value from Flash-optimized Storage
Solid- state flash storage is one of today's most important "old yet new" IT technologies. It's old in the sense that some form of solid-state memory has been around since the 1970s. Flash technology arose in the 1980s, and modern flash drives within enterprise storage subsystems arrived on the market back in 2008, with various types of flash-card packaging being the latest turn of the technology crank.
Flash storage is new because the ongoing advances in performance, density, and other factors are still continuing to help flash take over an increasing number of performance-sensitive workloads from conventional spinning-desk arrays.