Attunity

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big data analytics strategies:
Beating the data transfer bottleneck for competitive gain
by david loshin

Foreward: information availability
Anyone reading the popular technology-oriented press is bound to have been inundated with articles, papers, and webcasts touting the wonders of big data analytics: data scientists mining massive data volumes using analytics appliances or other high performance and scalable systems to deliver actionable intelligence to key decision-makers across the organization. Anyone with even a slight familiarity with the big data meme would come to an obvious conclusion: big data coupled with analytics is the wave of the future due to the com- petitive advantage it can provide. This seems to hold true whether your organization is large or even a small- or medium-sized business.
In this ebook, we systematically examine the state of the big data market to understand some of the real issues that have already been identified regarding information availability. We will also help the reader properly anticipate the data accessibility and utilization hurdles that tend to plague those who are unprepared to support the imminent kickoff of big data analytics projects. In chapter 1 we examine the state of the market for big data and big data analytics. Specifically, we focus on the coupled needs for more expansive availability
of analytical results distributed to a variety of (both human and automated) consumers, and how that increasingly depends on big data analytics. We also highlight that the key to high-performance big data is ensuring high-speed accessibility is unconstrained by the typical data transfer bottlenecks.
Chapter 2 drills into the challenges of information delivery for big data. By understanding the operational and the analytical impacts of constrained data accessibility and high data latency, we can begin to consider the facets of the information delivery challenge. In the context of this information, chapter 3 then scopes the technical objectives for high-performance information delivery by looking at key characteristics of the data transfer bottleneck while discussing what needs to be addressed. This includes reducing data latency, broad- ening data accessibility, and maintaining consistency.
Chapter 4 looks at the types of tools and technologies that can be used to solve high-performance information availability challenges. The chapter examines the requirements, and then considers how techniques such as replication, change data capture (CDC), connectivity/ac- cessibility, data federation, and data virtualization can all be used to contribute to a reasonable solution. Finally, we summarize with some best practice considerations for moving forward with a big data analytics initiative.
David Loshin
President

About the author
david loshin, President knowledge integrity, inc.
David Loshin, President of Knowledge Integrity, Inc., is a recognized thought leader and expert consultant on data management. Mr. Loshin specializes in the areas of data quality, master data management and business intelligence (BI). The author of numerous books, including “The Practitioner’s Guide to Data Quality Improvement” (2010), “Master Data Management” (2008), and “Business Intelligence – The Savvy Manager’s Guide” (2003), Mr. Loshin is also the creator of many courses, tutorials and web seminars on data management best practices.

About Attunity

Attunity is a leading provider of information availability solutions that enable access, sharing and distribution of data , including Big Data, across heterogeneous enterprise platforms, organizations, and the cloud. Our software solutions include data replication, change data capture (CDC), data connectivity, enterprise file replication (EFR), managed-file-transfer (MFT), and cloud data delivery. Using Attunity’s software solutions, our customers enjoy significant business benefits by enabling real-time access and availability of data and files where and when needed, across the maze of heterogeneous systems making up today’s IT environment.
Attunity has supplied innovative software solutions to its enterprise-class customers for nearly 20 years and has successful deployments at thousands of organizations worldwide. Attunity provides software directly and indirectly through a number of partners such as Micro- soft, Oracle, IBM and HP. Headquartered in Boston, Attunity serves its customers via offices in North America, Europe, and Asia Pacific and through a network of local partners. For more information, visit http://www.attunity.com or our In Tune blog and join our community on Twitter, Facebook, LinkedIn and YouTube.

Download ebook (.PDF): BigDataBottleneckEBook_ATTUNITY_DLoshin

© 2013 Attunity LTD eBook By DaviD Loshin: Beating the Data Transfer Bottleneck for Competitive Gain

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WHITEPAPER
Releasing the Value Within the Industrial Internet of Things

Executive Summary
Consumers are very familiar with the “Internet of Things,” ranging from activity trackers to “smart” appliances, home metering devices for water and electricity, “smart” parking meters, and more. The Internet of Things has also extended into the enterprise. In business-to-business settings, sensors collect data and that information can reduce unplanned downtime, optimize business processes, and support new product and service offerings. The market associated with this Industrial Internet of Things (IIoT) is poised for tremendous growth. General Electric has predicted that the Industrial Internet could increase global GDP by $10 trillion to $15 trillion over the next 20 years.
Deriving useful analytics from the Industrial Internet of Things can be simplified into three basic steps:
(1) collect data from machines,
(2) send data to a central storage location, and
(3) analyze information and achieve real-time insights.
However, technical hurdles often arise related to low-bandwidth network connections, the need for real-time data replication to support timely analytics, and flexible data collection tools. Leveraging Attunity tools and using an ELT (Extract, Load, Transform) model for data aggrega- tion can help. This approach enables real-time data replication which translates into access to faster, better business insights and more sustainable sources of competitive advantage.

DOWNLOAD WHITE PAPER (.PDF):Releasing the Value Within the Industrial Internet of Things _WP

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