Big Data White Papers
Big Data white papers and technology resources for implementing and optimizing Big Data strategy, solutions, Big Data products, and more.
Based on Forrester market data and a custom survey of enterprise big data decision-makers, this white paper explores the exploding big data trend. Increasingly, big data analytics is becoming a key priority for organizations - with over 70% of surveyed IT decision-makers saying it is a priority now or will be within a year.
Sponsor: CenturyLink Technology Solutions
Pay-as-you-Grow Data Protection: IBM Tivoli's Full-featured Data Protection Suite for Small to Medium Businesses
Data growth continues to be a major problem in the business world, and many small and medium businesses have just as hard a time responding to the challenge as large enterprises do. Although smaller organizations generally have less data to store, they also have fewer IT resources to work with. As a result, smaller companies are often the ones that are most harmed by rapid data growth.
In order to get the data protection and recovery functionalities they need while staying within their budgets, small and medium businesses need a solution that takes a creative approach to data protection. IBM Tivoli Storage Manager Suite for Unified Recovery gives small and medium businesses the opportunity to start out with only the individual solutions they need, and add new functionalities as they grow. In addition, TSM SUR only requires businesses to pay for the amount of data they store after compression and deduplication.
Simplify and Consolidate Data Protection for Better Business Results
As organizations of all sizes adapt to embrace clouds, big data and analytics, IT infrastructures need to become smarter and more efficient. When IT tools are easier to use and when they present key information in a straightforward and intuitive manner, they enable faster responses to changing conditions-and can minimize the business impact of technical issues.
This whitepaper describes the IBM Tivoli Storage Manager Operations Center and how it can dramatically simplify backup administration by providing advanced visualization, built-in analytics and integrated workflow automation features that leapfrog traditional backup user interfaces.
Smarter Environmental Analytics Solutions: Offshore Oil and Gas Installations Example
This IBM Redbooks® Solution Guide describes a solution for implementing smarter environmental monitoring and analytics for oil and gas industries. The solution implements real-time monitoring of environmental data to facilitate early detection of, and response to, operational events surrounding offshore oil and gas installations. The solution is shown in Figure 1. Although the solution that is described here is specific to the oil and gas industries, IBM Environmental Analytics solutions can be extended to other industries as well.
Who's afraid of the big (data) bad wolf? Survive the big data storm by getting ahead of integration and governance functional requirements
Today, data volumes are exploding in every facet of our lives. Business leaders are eager to harness the power of big data, but before setting out into the big data world, it is important to understand that as opportunities increase, ensuring that source information is trustworthy and protected becomes exponentially more difficult. This paper provides a detailed review of the best practices clients should consider before embarking on their big data integration projects.
Understanding big data so you can act with confidence
Automating information integration and governance and employing it at the point of data creation helps organizations boost confidence in their big data. A solid information integration and governance program should include automated discovery, profiling and understanding of diverse datasets to provide context and enable employees to make informed decisions. IBM® InfoSphere® is designed to do all of these things by evolving information integration and governance to meet the challenges presented by big data.
Integrating and Governing Big Data
While the term "big data" has only recently come into vogue, IBM has designed solutions capable of handling very large quantities of data for decades, leading the way with data integration, management, security and analytics solutions known for their reliability, flexibility and scalability. The end-to-end information integration capabilities of IBM® InfoSphere® Information Server are designed to help organizations understand, cleanse, monitor, transform and deliver data-as well as collaborate to bridge the gap between business and IT.
The MDM advantage: Creating insight from big data
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
Top tips for securing big data environments - Why big data doesn't have to mean big security challenges
Big data environments create significant opportunities. However, organizations must come to terms with the security challenges they introduce, for example big data environments allow organizations to aggregate more and more data-much of which is financial, personal, intellectual property or other types of sensitive data - most of the data is subject to compliance regulations.
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.
Organizations don't have to feel overwhelmed when it comes to securing big data environments. The same security fundamentals for securing databases, data warehouses and file share systems can be applied to securing Hadoop implementations.
Top 3 Myths about Big Data Security : Debunking common misconceptions about big data security
Data volumes are growing rapidly with no end in sight. Big data represents massive business possibilities and competitive advantage for organizations that are able to harness and use that information. But how are they protecting that data? This eBook addresses three myths of big data security.
Aberdeen Group: Marketing Analytics for Manufacturing: Forging Customer Insights
Effective marketing analytics have the ability to leverage big data and break down unstructured customer information to help manufacturers better understand customer needs. Aberdeen Group's recent research found that 43% of manufacturers cited finding new ways to serve customers as a primary area of focus. This Aberdeen Group report explores the drivers and benefits of marketing analytics and examines big data's role in customer intelligence, as well as specific manufacturing capabilities to analyze customer behavior and trends.
Unlocking the Promise of Demand Sensing and Shaping through Big Data Analytics
Many organizations have limited insight into big data. These limitations have significant opportunity costs and can have a negative effect on identifying and understanding customer demand patterns and related supply constraints. This paper goes beyond basic demand-sensing and demand-shaping concepts and explains how the use of advanced analytical techniques (such as high-performance analytics) and big data can enhance supply chain networks through rigorous demand and supply management.
Developing Big Data Capabilities to Govern and Influence Sentiment
The explosion of Big Data represents an opportunity to leverage trending attitudes in the marketplace to better segment and target customers, and enhance products and promotions. Success requires establishing a common business rationale for harnessing social media and determining a maturity model for sentiment analysis to assess existing social media capabilities.
Sponsor: Collaborative Consulting
Test Driving Big Data: How POCs Jumpstart Big Data Initiatives
Many key considerations and approaches factor into launching a Big Data initiative. POCs provide companies an excellent way to test-drive different approaches to Big Data solutions. Companies can quickly demonstrate the opportunities and limits of a potential Big Data initiative and guide smart investment with a skillfully crafted and executed POC.
Sponsor: Collaborative Consulting
Oracle Exadata and IBM PureData System for Analytics compared
This 20 page eBook examines Oracle Exadata and the IBM PureData System for Analytics as data warehouse platforms including OLTP, query performance, simplicity of operation, and value. Read the eBook to learn how the PureData System's performance reduces the costs of owning and running data warehouses, and creates new business value by deploying analytic applications previously considered beyond reach. Learn which solutions best meet your business needs and how to achieve optimal results from your data.
Sponsor: IBM Corporation
Operational Analytics from A to Z
As the market demands faster and more accurate responses to opportunities and threats, operational analytics is becoming the foundation for real-time decision making. The paper outlines the business value and technological foundations of operational analytics.
Sponsor: IBM Corporation
IBM PureData System: A Giant Leap Forward in Delivering Data Services
Today's users expect instantaneous response and 100 percent up-time. At the same time, we are in the midst of the Big Data era where the volume , velocity and variety of data being generated on a daily basis is creating unprecedented information management challenges. For the IT departments supporting today's data intensive workloads, meeting these challenges can be difficult, costly and time consuming. This article describes a new approach from IBM to delivering highly scalable and reliable data services with speed, simplicity and lower cost.
Sponsor: IBM Corporation
Extreme Warehouse Speed for Fast Business Decisions
Informix ebook highlighting benefits of making decisions 'at the speed of business'; and discusses optimizing warehouse performance; and simplifying resources
Sponsor: IBM Corporation
Big Data Approach, End-user Experience Monitoring Bring Application Visibility
Highly complex IT environment with multi-tier application architectures delivering apps and services, detecting and diagnosing code level performance problems can be like looking for a needle in a haystack. While it may be plain to the end user that there is a problem, understanding where that problem originates and exactly what is causing it is difficult, and time consuming. Riverbed OPNET AppInternals Xpert addresses this challenge by combining end-user experience, transaction tracing, and application component monitoring for deep end-to-end application visibility. This latest release facilitates bi-directional workflows between operations and application development to expedite problem resolution. Register to read report.
Sponsor: Riverbed Technology
10 Ways Wire Data Helps Conquer IT Complexity
This white paper from Slashdot Media explains the value of wire data in practical, simple-to-understand terms. With a robust wire data analytics solution, IT teams can automatically detect problems across the entire IT environment, spot data theft by flagging queries from untrusted sources, select unique pieces of transaction payloads to send to Splunk or another big data source, and more.
Sponsor: ExtraHop Networks