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Published By: WhereScape     Published Date: Mar 16, 2016
Industry expert Wayne Eckerson provides an overview of the emerging data warehouse automation market and outlines the value of using automation tools for developing data warehouses, data marts, analytical environments and big data platforms. Eckerson details WhereScape’s architecture—which enables a data-driven approach to automation. Eckerson also discusses how agility and automation together encourage iterative development and closer collaboration between business and IT.
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WhereScape
Published By: WhereScape     Published Date: Aug 18, 2016
Data Vault 2.0 leverages parallel database processing for large data sets and provides an extensible approach to design that enables agile development. WhereScape provides data warehouse automation software solutions that enable Data Vault agile project delivery through accelerated development, documentation and deployment without sacrificing quality or flexibility.
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WhereScape
Published By: WhereScape     Published Date: Oct 20, 2017
Put IT on Automatic: Cloud Data Warehousing Has Arrived by Eric Kavanagh of The Bloor Group Download this white paper to better understand the value the cloud offers IT teams developing data infrastructure, and how automation can be used to not only accelerate time to value, but to tackle quality control, compliance and developer productivity. Sponsored by WhereScape. To learn more about WhereScape automation, visitwww.wherescape.com"
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WhereScape
Published By: WhereScape     Published Date: Oct 02, 2018
Like any new initiative, there are both challenges and benefits. It Is advisable to understand both of these when deciding whether cloud computing is suitable for your company’s analytic environment.
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WhereScape
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: ROKITT     Published Date: Apr 11, 2016
Few things benefit an organization as much as information governance. Data is now one of the most valuable holdings for any business, but unfortunately in many environments much of the data is ignored and its potential value lost. Ignored data is also inherently less secure than data that’s tracked. Businesses need a way to bring hidden data out of the shadows and make it safe and useful again. Data discovery facilitates unearthing previously unknown data relationships. Mapping data flow and data lineage helps make data safe, compliant, and auditable. Good metadata makes a system more navigable. All these tools make data more accessible to staff and more useful for capitalizing on business opportunities.
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ROKITT
Published By: Snowflake Computing     Published Date: Apr 19, 2016
Data warehouse as a service brings scalability and flexibility to organizations seeking to deliver data to all users and systems that need to analyze it. The ability to access and analyze data is the critical foundational element for competing in new and old industries alike. Yet, a recent survey of IT executives finds that most are still struggling— and frustrated — with widely used data analytics tools. Find out what your peers are saying, and see how your data analytics environment compares.
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Snowflake Computing
Published By: Snowflake Computing     Published Date: Feb 27, 2017
Snowflake’s cloud-built data warehouse delivers the performance, concurrency, simplicity and affordability needed to store and analyze all of an organization’s data in one location. Snowflake combines the power of data warehousing, the flexibility of big data platforms and the elasticity of the cloud. Find out more at snowflake.net.
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Snowflake Computing
Published By: Finch Computing     Published Date: Apr 26, 2016
FinchDB is not just a database, not just an analytics engine and not just a search tool. It’s all three. All together. All in-memory. It’s a new, enabling platform technology built on an IP portfolio of 25 unique inventions, and suited for multiple high-volume, high-stakes use cases. While other big data solutions are answers-oriented, FinchDB enables users to ask better questions of their data. Because better questions must come before better answers.
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Finch Computing
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: Semarchy     Published Date: Feb 12, 2018
This whitepaper covers a recently completed a ground-breaking industry wide survey of executives, architects, and business stakeholders from data-driven organizations by Enterprise Management Research in order to explore the growing role of the CDO, and to explore the various data management maturity levels of enterprise companies. This whitepaper explains how industry visionaries use data as an asset, and discusses the growing importance of data governance leadership. Additionally, it creates a data management maturity index to show how various companies match-up in their data management vision and capabilities. Finally, the whitepaper covers the top data-focused applications used and their average implementation timelines.
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Semarchy
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: IDERA     Published Date: Nov 07, 2017
Increasing dependence on enterprise-class applications has created a demand for centralizing organizational data using techniques such as Master Data Management (MDM). The development of a useful MDM environment is often complicated by a lack of shared organizational information and data modeling. In this paper, David Loshin explores some of the root causes that have influenced an organization’s development of a variety of data models, how that organic development has introduced potential inconsistency in structure and semantics, and how those inconsistencies complicate master data integration.
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IDERA
Published By: IDERA     Published Date: Nov 07, 2017
Data modeling is all about data definition but has a much wider impact on the data of your organization. Quality data definition impacts how data is produced and directly impacts how the data is or will be used throughout an organization. That means that we must proactively govern the process of how we define data, to establish a common understanding across the team. In this whitepaper, Robert Seiner describes how data modeling is a form of data governance and provides insights on the three actions of governing data.
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IDERA
Published By: T4G     Published Date: Mar 15, 2017
About to embark on an advanced analytics project? Or have already started and things aren’t going as planned? This white paper will share our approach to ensure you set up for success. We will discuss aspects of data strategy and data stewardship, and why they are so important. We will outline the benefits of having a solid data strategy and how to start the data strategy conversation within your organization. We will then outline how a project’s entry point (the initial impetus for the project) impacts the scope and approach for the project. And will show you how to avoid missteps and gaps that can lead to less than stellar results or wasted effort. The white paper will touch on the importance of understanding your business drivers and how to use them as your guide to get the most out of your data driven decision making projects. Our proven approach will help ensure a successful start on your advanced analytics journey.
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T4G
Published By: Profium     Published Date: Mar 28, 2017
Profium Sense is an AI powered graph database which has unique features such as triggered query evaluation and ability to change rules in runtime. With support for open standards, it provides a reliable backbone for your next-generation digital services.
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Profium
Published By: Innovative Systems     Published Date: Mar 29, 2017
Planning a data quality initiative? This paper presents some of the most effective tactics used to justify a data quality initiative, present a strong business case, and get approvals from senior executives, such as: • How to demonstrate to business leadership the costs of poor data quality • The benefits of working with stakeholders to create the business case • How to calculate and present the ROI of proposed projects
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Innovative Systems
Published By: Innovative Systems     Published Date: Oct 26, 2017
Even after investing significant time and resources implementing a data quality solution, many enterprises find that their data does not effectively support their goals. This white paper shows how to get the most out of your data quality solution by tailoring it to support your business goals.
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Innovative Systems
Published By: Innovative Systems     Published Date: Feb 20, 2018
Organizations around the world are scrambling to understand and comply with the new European Union (EU) General Data Protection Regulation (GDPR) which impacts not only EU companies, but anyone who handles the data of EU citizens. Download this white paper to learn how to quickly and cost-effectively have the correct information to meet GDPR requirements without needing an army of data management professionals.
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Innovative Systems
Published By: Data Ninja     Published Date: Apr 16, 2017
By adding structure to free text using text analytics and graph databases, text becomes valuable business data. This paper examines a real life use case in risk analysis. Text is a part of all communication channels from social media, documents, logs, and data bases. In order to use the information from text, you need to extract the data in a way that provides useful information on entities, locations, organizations, and their properties. Graph databases are very powerful in showing the text relationships including the nearest neighbors, clusters, and the shortest paths. The combination of text analytics and graph databases can be used to solve business problems.
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Data Ninja
Published By: Infogix     Published Date: Apr 21, 2017
Data Governance and GDPR go Together Like Peanut Butter and Jelly May 2018 might sound far away, but any organization that does business in the EU must be prepared on day one to comply with the new General Data Protection Regulation (GDPR). This regulation carries stiff penalties for non-compliance – first time violators should expect to pay up to the greater of 4% of global annual revenue or 20 million EUR in fines – so it behooves organizations to cross their i's and dot their t's in regards to their GDPR plan. One integral component that is vital is instituting data governance to understand the organization’s data from a business perspective. Learn more about "What is considered Personally Identifiable Information?”, “What are the GDPR compliance obligations?”, and “Why data governance is vital?” in an easy to read white paper titled: General Data Protection Regulation (GDPR) and the Vital Role of Data Governance.
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Infogix
Published By: Infogix     Published Date: May 04, 2018
Over the last few years, the term “data governance” has evolved to more prominence, concurrently with big data. While organizations understand the need for governance around big data, the implementation of a successful data governance solution continues to remain elusive as organizations grapple with what exactly data governance is. This whitepaper provides a concise definition of data governance and offers some key considerations for a successful data governance solution.
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Infogix
Published By: Alteryx     Published Date: May 24, 2017
Spreadsheets are a mainstay in almost every organization. They are a great way to calculate and manipulate numeric data to make decisions. Unfortunately, as organizations grow, so does the data, and relying on spreadsheet-based tools like Excel for heavy data preparation, blending and analysis can be cumbersome and unreliable. Alteryx, Inc. is a leader in self-service data analytics and provides analysts with the ability to easily prep, blend, and analyze all data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks. This paper highlights how transitioning from a spreadsheet-based environment to an Alteryx workflow approach can help analyst better understand their data, improve consistency, and operationalize analytics through a flexible deployment and consumption environment.
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Alteryx
Published By: Datameer     Published Date: Oct 10, 2017
Most data analytics leaders recognize the need to modernize their data analytics platforms. The question is how.
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Datameer
Published By: AtomRain     Published Date: Nov 07, 2017
The world is more connected than ever before, and data relationships only continue to multiply. Yet enterprises still operate largely with an incomplete perspective caused by segmented, non-contextual and disconnected data silos. Connected data is the key to surviving, growing and thriving. However, a transformation across the entire enterprise won’t happen overnight, and each step must be measurable from both a business and technical perspective. Organizations need expert guidance to move more swiftly and avoid costly technical pitfalls in the new paradigm. This paper examines the journey to what we call, “The Connected Enterprise”.
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AtomRain
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