Cloud architectures. Remote access to big data. Application performance in an increasingly networked world. A renewed focus on DR/BC based on instant replication between multiple data centers. All are driving a need for more flexible WAN optimization that can be cost effectively deployed across both private and public networks.
According to Forrester, most organizations today are only using 12% of their available data and only 37% of organizations are planning some type of big data technology project. At a time when companies are seeing volume of information increase quickly, it’s time to take a step back and look at the impact of big data.
Join Mike Gualtieri, Principal Analyst at Forrester, for this webcast exploring the importance of integration in your big data initiatives. Discover how your ability to operate, make decisions, reduce risks and serve customers is inextricably linked to how well you’re able to handle your big data.
Continue on to gain insight into:
•3 key big data management activities you need to consider
•Technologies you need to create for your big data ecosystem
•A multi-dimensional view of the customer is the holy grail of individualization
•Overcoming key integration challenges
As a sales coach, you can make a big impact on you team's goal attainment by helping your team make small changes that will make a big impact on their productivity.
In this guide, you'll learn 10 ways that you can improve your sales team's productivity with easy changes to what they are doing every day. From helping them understand the "formation" needed to win to gamifying their day, you'll learn actionable tips that your team can start using today.
Affiliate marketing is big business and it is poised to grow to $4.5 billion by 2016! While affiliate marketing is growing and evolving, the best practices for this channel seem to be outdated and causing stagnating campaigns, weak affiliate relationships, and status quo sales metrics.
Download this Whitepaper that outlines 10 new performance marketing best practices that will keep your affiliate program manageable, targeted, and profitable
Published By: Fujitsu
Published Date: Feb 06, 2017
When you embark on an SAP HANA transformation, your goals should include simplifying operations and empowering your business to compete and win in the digital economy. But big transformation projects like this are extremely complex. Learn key insights into common speed bumps and roadblocks that may slow you down, as well as valuable tips to help you along your transformation journey.
Published By: Intermec
Published Date: Jun 16, 2009
General-purpose PDAs and ruggedized enterprise mobile computers serve different markets and functions, and also vary by size, weight and materials. But the biggest difference is their total cost of ownership (TCO).
Cooling for IT wiring closets is rarely planned and typically only implemented after failures or overheating occur. Historically, no clear standard exists for specifying sufficient cooling to achieve predictable behavior within wiring closets. An appropriate specification for cooling IT wiring closets should assure compatibility with anticipated loads, provide unambiguous instruction for design and installation of cooling equipment, prevent oversizing, maximize electrical efficiency, and be flexible enough to work in various shapes and types of closets. This paper describes the science and practical application of an improved method for the specification of cooling for wiring closets.
Discover the simplest and most cost-effective approach to hybrid cloud using a highly scalable, fully managed open cloud like Ubuntu OpenStack.
Watch this on-demand webinar to find out from our experts how Canonical’s and QTS’ proven reference architectures, deployment methodologies, and unrivaled support offer IT organizations the biggest bang for their buck plus...
• Why the evolution of technology and complexity of managing your hybrid clouds increases IT costs.
• How open clouds can be designed to meet your anticipated growth needs.
• Build versus buy? Why private open cloud is a financially sound choice.
• Why companies like yours are choosing Canonical and QTS to build, operate and fully manage their OpenStack cloud.
• A customer case study detailing the economic impact of open cloud.
Published By: Datawatch
Published Date: Mar 21, 2014
Big Data is not a new problem. Companies have always stored large amounts of data—structured like databases, unstructured like documents—in multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. It’s the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
When the numbers get this big, we tend to think of them only in the abstract:
500 million photos were shared per day in 2013 and 1.8 billion photos are being shared per day in 2014. That’s 75 million per hour, 1.25 million per minute and 20,833 per second.
Olapic’s new visual commerce white paper places this content explosion in context. We filled it with data that matters, insights from our experience with over 150 brands and retailers, and strategic guidance for companies ready to plan their approach to the visual commerce opportunity.
Download From Ripple to Wave: The Ascent of Authentic Visual Content now.
IBM DB2 offers multi-platform flexibility and optimized capabilities for a variety of workloads. This e-book highlights some common scenarios where DB2 helps businesses derive unprecedented value from expanding data stores—affordably and reliably.
IBM InfoSphere Information Server connects to many new ‘at rest’ and streaming big data sources, scales natively on Hadoop using partition and pipeline parallelism, automates data profiling, provides a business glossary, and an information catalog, plus also supports IT.
As big data environments ingest more data, organizations will face significant risks and threats to the repositories containing this data. Failure to balance data security and quality reduces confidence in decision making. Read this e-Book for tips on securing big data environments
As big data environments ingest more data, organizations will face significant risks and threats to the repositories containing this data. Failure to balance data security and quality reduces confidence in decision making. Read this e-Book for tips on securing big data environments.
Securing sensitive data presents a multi-dimensional challenge where complex environments—which often include a wide range of heterogeneous database management systems (DBMS), enterprise applications, big data platforms, file systems, OS platforms with multiple access paths and permission levels—have created a seemingly end-less array of security risks and violation scenarios.
This data security ebook examines the top 5 scenarios and essential best practices for defending against insider threats and external attacks.
IBM QRadar and BigFix solutions empower IT security teams to view, prioritize and respond to endpoint intelligence in near real time.
How can an organization stay ahead of these advanced security threats? Maintaining a high level of baseline security by consistently enforcing security policies and patch levels on endpoints and servers is definitely required and important. But when networks can have multiple vulnerabilities per IP address at scan time, the slow process of mitigating and patching these weaknesses can result in dangerous security gaps. Today’s IT personnel have to make difficult, risk-based decisions on where to focus their efforts—often without having a complete picture of the security environment. This is even more critical when the number of vulnerabilities across the organization is increasing while the organization has limited resources and skills to fix the vulnerabilities.
Data—dynamic, in demand and distributed—is challenging to
secure. But you need to protect sensitive data, whether it’s stored
on-premises, off-site, or in big-data, private- or hybrid-cloud
environments. Protecting sensitive data can take many forms, but
nearly any organization needs to keep its data accessible, protect
data from loss or compromise, and comply with a raft of regulations
and mandates. These can include the Payment Card Industry Data
Security Standard (PCI DSS), the Health Insurance Portability and
Accountability Act of 1996 (HIPAA) and the European Union (EU)
General Data Protection Regulation (GDPR). Even in the cloud, where
you may have less immediate control, you must still control your
sensitive data—and compliance mandates still apply.
Distributed denial-of-service attacks may be organized by type into a taxonomy that includes network attacks (layers 3 and 4), session attacks (layers 5 and 6), application attacks (layer 7), and business logic attacks. Each type may be matched with the best F5 technology for mitigating that attack. This paper explains how taken together, the F5 BIG-IP portfolio of products provides effective anti-attack technology for each layer of the taxonomy and can also defend against specific attack tools, network reconnaissance, and low-bandwidth asymmetric attacks.
With the amount of information in the digital universe doubling every two years, big data governance issues will continue to inflate. This backdrop calls for organizations to ramp up efforts to establish a broad data governance program that formulates, monitors and enforces policies related to big data. Find out how a comprehensive platform from SAS supports multiple facets of big data governance, management and analytics in this white paper by Sunil Soares of Information Asset.
With so much talk about big data and the possibilities it can offer, the truth behind what big data is—and what it can do for businesses—can be hard to determine. However, according to Dr. Barry Devlin of 9sight Consulting, the truth behind all the talk is not hard to see, provided that organizations are willing to return to the principles of good data management processes.
According to Dr. Devlin’s white paper “The Big Data Zoo—Taming the Beasts”, data is still data, whether big or small. It needs to be managed effectively if organizations want to be gain value from it. Although big data may present special challenges for IT organizations, the principles of data management haven’t changed.
According to Dr. Barry Devlin of 9sight Consulting, the truth behind all the talk about big data and the possibilities it can offer is not hard to see, provided that organizations are willing to return to the principles of good data management processes.
Published By: Altiscale
Published Date: May 28, 2015
Big Data technologies are maturing and quickly moving into the next phase - one that expands in data use-cases as Hadoop moves into more influential roles throughout IT infrastructures. In this just-released report, Gartner is recognizing four Big Data vendors as "cool." Gartner says these vendors can meaningfully and synergistically combine multiple types of functionality.
Published By: Altiscale
Published Date: Aug 25, 2015
Weren't able to attend Hadoop Summit 2015? No sweat. Learn more about the latest Big Data technologies in these technical presentations at this recent leading industry event. The Big Data experts at Altiscale - the leader in Big Data as a Service - have been busy at conferences.
To see all four presentations (in slides and youtube video), click here. https://www.altiscale.com/educational-slide-kit-2015-big-data-conferences-nf/
• Managing Growth in Production Hadoop Deployments
• Running Spark & MapReduce Together in Production
• YARN and the Docker Ecosystem
• 5 Tips for Building a Data Science Platform
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