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Published By: Alation     Published Date: Mar 26, 2018
When analysts and data scientists have access to data governance policies and best practices directly within the flow of their analysis, the result is both more consistent compliance and more broadly adopted best practices. With the combination of Tableau and Alation, organizations can not only balance the demands of agility and governance, they can actually optimize for both at the same time. We call this Governance for Insight. Learn more about how Tableau users can have the best of worlds - agility and governance. Read Enabling Governance for Insight: Trust in Data with Tableau and Alation’s Data Catalogs. Register on the right to access a complimentary copy of this joint white paper from Tableau and Alation.
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Alation
Published By: Converseon     Published Date: Apr 02, 2018
Separating signals from noisy social listening data has long been a problem for data scientists. Poor precision due to slag, sarcasm and implicit meaning has often made it too challenging to effectively model. Today, however, new approaches that leverage active machine learning are rapidly over taking aging rules-based techniques and opening up use of this data in new and important ways. This paper provides some detail on the evolution of text analysis including current best practices and how AI can be used by data scientists to use this data for meaningful analysis.
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Converseon
Published By: Trillium Software     Published Date: Dec 17, 2015
Digital business and disruptive technologies continue to fuel solid growth in the data quality tools market, alongside traditional cost reduction and process optimization efforts. This Magic Quadrant will help CIOs, chief data officers and information leaders find the best vendor for their needs.
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Trillium Software
Published By: First San Francisco Partners     Published Date: Mar 13, 2015
A Data Governance Organization and its structure should be defined to align with your company’s organizational hierarchy and resources. Finding the right people to assign to data governance requires an understanding of both the functional and the political role of governance within your organization. This paper highlights some best practices in putting the right resources behind the required roles.
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data governance, data governance resources, data governance organization
    
First San Francisco Partners
Published By: First San Francisco Partners     Published Date: Jun 01, 2016
A Data Governance Organization and its structure should be defined to align with your company’s organizational hierarchy and resources. Finding the right people to assign to data governance requires an understanding of both the functional and the political role of governance within your organization. This paper highlights some best practices in putting the right resources behind the required roles.
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First San Francisco Partners
Published By: TopQuadrant     Published Date: Mar 21, 2015
Data management is becoming more and more central to the business model of enterprises. The time when data was looked at as little more than the byproduct of automation is long gone, and today we see enterprises vigorously engaged in trying to unlock maximum value from their data, even to the extent of directly monetizing it. Yet, many of these efforts are hampered by immature data governance and management practices stemming from a legacy that did not pay much attention to data. Part of this problem is a failure to understand that there are different types of data, and each type of data has its own special characteristics, challenges and concerns. Reference data is a special type of data. It is essentially codes whose basic job is to turn other data into meaningful business information and to provide an informational context for the wider world in which the enterprise functions. This paper discusses the challenges associated with implementing a reference data management solution and the essential components of any vision for the governance and management of reference data. It covers the following topics in some detail: · What is reference data? · Why is reference data management important? · What are the challenges of reference data management? · What are some best practices for the governance and management of reference data? · What capabilities should you look for in a reference data solution?
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data management, data, reference data, reference data management, top quadrant, malcolm chisholm
    
TopQuadrant
Published By: CMMI Institute     Published Date: Sep 03, 2014
To drive strategic insights that lead to competitive advantage, businesses must make the best and smartest use of today’s vast amount of data. To accomplish this, organizations need to apply a collaborative approach to optimizing their data assets. For organizations that seek to evaluate and improve their data management practices, CMMI® Institute has developed the Data Management Maturity (DMM)? model to bridge the perspective gap between business and IT. Download the white paper Why is Measurement of Data Management Maturity Important? to enable you to: - Empower your executives to make better and faster decisions using a strategic view of their data. - Achieve the elusive alignment and agreement between the business and IT - Create a clear path to increasing capabilities
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white paper, enterprise data management, data model, data modeling, data maturity model, cmmi institute
    
CMMI Institute
Published By: CMMI Institute     Published Date: Mar 21, 2016
CMMI Institute®’s Data Management Maturity (DMM)SM framework enables organizations to improve data management practices across the full spectrum of their business. It is a unique, comprehensive reference model that provides organizations with a standard set of best practices to assess their capabilities, strengthen their data management program, and develop a custom roadmap for improvements that align with their business goals.
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CMMI Institute
Published By: AnalytixDS     Published Date: May 09, 2016
This paper seeks to provide insight into how AnalytiX Data Services can address many of the data related issues that come with combining disparate source data as is often the case in mergers and acquisitions. It will cover some of the best features and functionality offered by AnalytiX Data Services’ flagship product AnalytiX Mapping Manager, which have specific capabilities that are of high value in this scenario.
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AnalytixDS
Published By: Neo Technology     Published Date: Jun 28, 2015
The future of Master Data Management is deriving value from data relationships which reveal more data stories that become more and more important to competitive advantage as we enter into the future of data and business analytics. MDM will be about supplying consistent, meaningful views of master data and being able to unify data into one location, especially to optimize for query performance and data fit. Graph databases offer exactly that type of data/performance fit. Use data relationships to unlock real business value in MDM: - Graphs can easily model both hierarchical and non-hierarchical master data - The logical model IS the physical model making it easier for business users to visualize data relationships - Deliver insights in real-time from data relationships in your master data - Stay ahead of the business with faster development Download and read the white paper Your Master Data Is a Graph: Are You Ready? to learn why your master data is a graph and how graph databases like Neo4j are the best technologies for MDM.
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database, nosql, graph database, big data, master data management, mdm
    
Neo Technology
Published By: Alation     Published Date: Mar 15, 2016
curation (noun): The act of organizing and maintaining a collection (such as artworks, artifacts, or data). Data curation is emerging as a technique to support data governance, especially in data-driven organizations. As self-service data visualization tools have taken off, sharing the nuances and best practices of how to use data becomes ever more critical. Analysts at companies from eBay to Safeway and Square are scaling their data knowledge through curation techniques. What are the 4 steps to successful data curation? Find out here:
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data stewardship, self-service analytics, data curation, data governance
    
Alation
Published By: Amazon Web Services     Published Date: Apr 04, 2016
Amazon DynamoDB is a fully managed, NoSQL database service. Many workloads implemented using a traditional Relational Database Management System (RDBMS) are good candidates for a NoSQL database such as DynamoDB. This whitepaper details the process for identifying these candidate workloads and planning and executing a migration to DynamoDB.
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Amazon Web Services
Published By: FairCom     Published Date: May 25, 2016
As companies embrace NoSQL as the “next big thing,” they are rightly cautious of abandoning their investment in SQL. The question a responsible developer or IT manager must investigate is “in which cases are each of these technologies, SQL and NoSQL, the appropriate solution?” For example, cloud provider BigStep offered this assessment: “NoSQL is not the best model for OLTP, ad hoc queries, complicated relationships among the data, and situations when stability and reliability outweigh the importance of speed.” While that statement may be true of many NoSQL databases, c-treeACE is the exception. Its unique, No+SQL architecture offers the advantages of SQL on top of a robust, high-performance NoSQL core engine. In this white paper, you'll read five ways c-treeACE breaks the NoSQL mold in terms of: • Data Integrity • Availability and Reliability • Complex Data Relationships • Flexible Queries • Performance
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FairCom
Published By: IDERA     Published Date: Feb 06, 2017
Data modeling can provide tangible economic benefits, which are best shown by quantifying the traditional benefits of data modeling. In this whitepaper, Tom Haughey discusses how to calculate the return on investment (ROI) of data modeling by assessing the economic value of real data modeling benefits, such as improved requirements definition, reduced maintenance, accelerated development, improved data quality and reuse of existing data assets. Download this whitepaper to learn how to: - Describe the value proposition of data modeling - Assess the economic value of data modeling benefits - Learn three methods to calculate data modeling ROI
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IDERA
Published By: DATAVERSITY     Published Date: Dec 27, 2013
There are actually many elements of such a vision that are working together. ACID and NoSQL are not the antagonists they were once thought to be; NoSQL works well under a BASE model, but also some of the innovative NoSQL systems fully conform to ACID requirements. Database engineers have puzzled out how to get non-relational systems to work within an environment that demands high availability, scalability, with differing levels of recovery and partition tolerance. BASE is still a leading innovation that is wedded to the NoSQL model, and the evolution of both together is harmonious. But that doesn’t mean they always have to be in partnership; there are several options. So while the opening anecdote is true in many cases, organizations that need more diverse possibilities can move into the commercial arena and get the specific option that works best for them. This paper is sponsored by: MarkLogic.
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nosql, database, acid v base, white paper
    
DATAVERSITY
Published By: SAP     Published Date: Jan 23, 2013
This paper examines the root causes of data centralization failure and then reviews straightforward best practices that can help avoid such failures but are typically ignored when systems are designed in an ad hoc, organic manner.
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data, data management, data governance, big data, cloud, business intelligence, semantic technology, nosql, information quality, data quality, metadata, enterprise information management, master data management, mdm, analytics, database
    
SAP
Published By: MapR Technologies     Published Date: Jul 26, 2013
Enterprises are faced with new requirements for data. We now have big data that is different from the structured, cleansed corporate data repositories of the past.Before, we had to plan out structured queries. In the Hadoop world, we don’t have to sort data according to a predetermined schema when we collect it. We can store data as it arrives and decide what to do with it later. Today, there are different ways to analyze data collected in Hadoop—but which one is the best way forward?
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white paper, hadoop, nosql, mapr, mapr technologies
    
MapR Technologies
Published By: SAS     Published Date: Apr 02, 2014
Featuring use cases of various big data strategies, this paper explores several approaches and techniques that could be right for your enterprise, including using emerging big data platforms and creating new technology for problems not addressed by current big data platforms. It also covers moving more computation to traditional databases and implementing data virtualization.
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data, data management, big data, white paper, sas
    
SAS
Published By: Splice Machine     Published Date: May 19, 2014
SQL-on-Hadoop solutions have become very popular recently as companies solve the data access issues with Hadoop or seek a scale-out alternative for traditional relational database management systems. However, with all of the options available, choosing which solution is right for your business can be a daunting task. This white paper discusses the options you should consider and questions to ask, including: Is it really “Real-Time”? Is it true SQL? Does it support secondary indexes? Can it efficiently handle sparse data? Can it deliver fast performance on massive joins? Read this white paper to get a better understanding of the SQL-on-Hadoop landscape and what questions you should ask to identify best solution for your business.
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white paper, splice machine, sql, hadoop, nosql, nosql white paper, hadoop white paper, dataversity
    
Splice Machine
Published By: Cisco EMEA Tier 3 ABM     Published Date: Jun 01, 2018
Digital transformation has arrived, and it’s creating unprecedented opportunities for companies of all sizes to become market leaders through the evolution of business processes and the creation of new products and services. Organizations that master digital transformation will see a dramatic increase in revenues and profitability by converging people, processes and technologies; those that do not will struggle to survive. Evidence of this is clear to see by looking at the churn in the biggest companies in the world. For example, a Capgemini study found that since 2000, 52% of the Fortune 500 has disappeared through acquisitions or bankruptcies. The study also found that digital organizations control 70% of market share in all industries today. Therefore, making the shift to a digital business must be a top initiative for IT and business leaders. Download this whitepaper to see how Cisco has become the Market Share Leader in Online Meetings.
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cisco, digital transformation, collabaration
    
Cisco EMEA Tier 3 ABM
Published By: Hewlett Packard Enterprise     Published Date: Apr 20, 2018
Finding the Best Set of Options as You Modernize Your IT Infrastructure.
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Hewlett Packard Enterprise
Published By: Akamai Technologies     Published Date: Apr 25, 2018
Retailers competing in the high-pressure world of ecommerce have many challenges. Not only do you need to provide an interesting and compelling shopping experience, you also need to make that experience fast and reliable. But this doesn't need to be difficult - check out our best practices guide that includes: Getting started with performance testing The common challenges faced by online retailers Testing checklist Top ecommerce business metrics Who should be on your testing team The different types of performance tests Testing in production vs. in the lab Security and performance testing
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performance, testing, retail, websites, applications, retailers, ecommerce
    
Akamai Technologies
Published By: Akamai Technologies     Published Date: Apr 25, 2018
DDoS attackers launch hundreds of DDoS attacks every day. When a DDoS attack strikes an organization, panic is common. No one knows why systems and applications are failing, who to call, or what questions to ask. Meanwhile, senior leaders want answers. Planning ahead and being prepared is your best defense against DDoS attacks. This white paper explores best practices for building and maintaining a DDoS protection plan. You’ll learn what to expect from a DDoS attack, how to prepare, what to put in a DDoS runbook, and how to test your plan.
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ddos, protection, practices, systems, attackers, applications, systems
    
Akamai Technologies
Published By: Dell     Published Date: May 04, 2018
To successfully navigate workforce transformation, you need to consider both IT and end-user needs. Upgrading your hardware, and “right-sizing” it to fit your workforce only solves half the issue. Download this executive summary to learn ways to best upgrade PCs efficiently with effective solutions to meet the needs of the emerging workforce. Organizations who find this balance can turn their workforce into a strategic asset and gain a competitive advantage while freeing up IT resources to invest in other aspects of digital transformation. Please add this tagline below the abstract in the same font size and above the trademark line: Intel Inside®. Powerful Productivity Outside. The following trademark line should be used on the landing pages for this asset: Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
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Dell
Published By: Akamai Technologies     Published Date: Apr 13, 2018
Retailers competing in the high-pressure world of ecommerce have many challenges. Not only do you need to provide an interesting and compelling shopping experience, you also need to make that experience fast and reliable. But this doesn't need to be difficult - check out our best practices guide that includes: Getting started with performance testing The common challenges faced by online retailers Testing checklist Top ecommerce business metrics Who should be on your testing team The different types of performance tests Testing in production vs. in the lab Security and performance testing
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performance, testing, retail, websites, applications, retailers, ecommerce
    
Akamai Technologies
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