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Data Warehouse Architectures White Papers

  • Simple is STILL Better: Embrace Speed & Simplicity for a Competitive Edge

    Sponsored by: IBM

    This white paper provides insight into what modern data warehouses need to accomplish to be relevant. Learn how adapting old technologies to manage new challenges is inadequate, and how you can manage big data simply and at low cost, while simultaneously processing advanced analytics at the speed of business.

  • Unifying Data Access across the Logical Data Warehouse

    Sponsored by: IBM

    A single, enterprise data warehouse can't keep up with the increasing complexity of data and growing demands for analytics. Discover how you can unify data access across a logical data warehouse and give users the ability to easily, quickly combine data even if it's spread across various sources.

  • How to Unlock Big Data's True Potential

    Sponsored by: IBM

    When it comes to big data, it can be difficult to combine data from disparate sources into a meaningful and valuable picture. Discover a business intelligence platform that can allow you to integrate data from heterogeneous sources, augment the data warehouse with Hadoop data services, leverage real-time analytics, and more.

  • Ensuring a Sustainable Architecture for Big Data Analytics

    Sponsored by: Idera

    Access this white paper to learn about an extended data warehouse architecture that can keep up with the pace of data growth, how to integrate 3 analytics environments, and how to reap the most value from big data.

  • Best Practices for the Data Lake

    Sponsored by: Attunity

    In this webcast, IT leaders discuss adopting data lakes and the maturity of this technology. Learn about trends pulled from a survey of 385 IT practitioners and stakeholders from various industries, all of whom are focused on key areas of concern and interest in data lake adoption.

  • Orlin & Cohen Orthopedic Group Benefits from a 24x7 Managed Electronic Medical Records Database Architecture

    Sponsored by: Cintra/Oracle

    In this white paper, learn how Orlin & Cohen overcame the challenges its legacy Windows-based Oracle standard Edition architecture and upgraded to an enterprise-class platform. Learn how they accomplished this without the typical cost and complexity associated with enterprise architecture but still gained high performance and reduced risk.

  • Designing a Data Virtualization Environment: A Step-By-Step Approach

    Sponsored by: Red Hat

    This technical white paper describes a step-by-step approach for setting up a data virtualization environment. Access now for do's, don'ts, and guidelines to help your organization develop effective and efficient data virtualization.

  • Copying Data from RDS into Amazon Redshift using Matillion ETL for Redshift

    Sponsored by: Matillion

    Access this resource to learn how Matillion ETL for Redshift can expediently ingest data from Amazon RDS, and get a first-hand experience with this tool by downloading a 14-day free trial.

  • Designing a Logical Data Warehouse

    Sponsored by: Red Hat

    This white paper describes the design of a logical data warehouse architecture with data virtualization tools. Learn about a more agile design that allows BI specialists to develop new reports and change existing ones more quickly.

  • Amazon Redshift Advice and Best Practices: A Real World Guide

    Sponsored by: Matillion

    In this Amazon Redshift guide, uncover the features, real-world best practices for attaining optimal performance, and configuration options for Amazon's cloud-based data warehouse. Learn about the performance, cost, and scalability and how it can modernize your data capabilities.

  • Analytics in a Dash: Strategies to Speed Data Warehousing and Analysis in the Cloud

    Sponsored by: IBM

    This white paper highlights the advantages of augmenting your on-premise data warehouse with cloud services. Uncover substantial gains measured in speed and scalability, allowing your team to focus on business enablement issues instead of IT infrastructure.

  • Boost Database Performance in your Existing Infrastructure

    Sponsored by: Dell, Inc. and SanDisk®

    In this white paper, uncover how an acceleration appliance can eliminate OLTP database performance bottlenecks and allow you to revive your legacy infrastructure instead of replacing it. Discover how this tool could help your organization boost database performance.

  • Accelerating your Legacy Data Architecture to Promote Growth

    Sponsored by: Dell, Inc. and SanDisk®

    In this resource learn how you can address 4 common challenges of working with a legacy data architecture. Discover how your business can successfully leverage data leads to gain a competitive advantage and promote growth.

  • Data Warehouse Appliances: Impact and Best-in-Class Capabilities

    Sponsored by: IBM

    In this Aberdeen Group research report, learn how data warehouse appliances enable organizations to perform varied and complex analytics to support data-driven decision-making. Additionally, explore the impact organizations are experiencing with data warehouse appliances and near real-time analytics.

  • The Integral Parts of a Logical Data Warehouse

    Sponsored by: IBM

    In this detailed white paper, explore the paradigm of the logical data warehouse in the era of big data and how the components work together. Additionally, learn which workloads will perform best on which components, and compare costs.

  • Integrating Big Data Systems with Enterprise Data Warehouses

    Sponsored by: Oracle Corporation

    In this white paper, you will learn how to both maximize the business benefits of big data and minimize the risk of adopting new technologies with a unified query system. Read on to allow a single query to access data in multiple stores—be they Hadoop, NoSQL or relational databases.

  • The Big Data Architecture Dilemma For CIOs

    Sponsored by: Oracle Corporation

    In this e-guide you will learn the pros and cons of buying and building big data architectures. Download now to uncover which option could be right for your organization.

  • 6 Patterns of Big Data & Analytics Adoption

    Sponsored by: Oracle Corporation

    Access this research report to discover the importance of information architecture in your big data analytics. Learn 6 patterns of big data analytics adoption that prove the importance of information architecture.

  • Date Lake: Adoption and Maturity Survey Findings Report

    Sponsored by: Attunity

    Back by insights from 385 IT practitioners, this report, produced by Radiant Advisors and Unisphere Research, reveals the findings of data lake adoption and use cases.

  • A Review of the SQL Server 2016

    Sponsored by: Microsoft

    This datasheet highlights the key features of SQL Server 2016. See why this release is expected to deliver breakthrough mission critical performance and deeper insights across any data on many devices, enabled by the power of hyperscale cloud.

  • Four Critical Concepts for Planning the Logical Data Warehouse

    Sponsored by: IBM

    Even modern data warehouses can hold back your business. In this white paper, learn four key facts you need to know before choosing a data warehouse.

  • Data Governance Framework: A Blueprint for Success

    Sponsored by: SAS

    In this white paper, see how a pragmatic, holistic approach to data governance combined with a data governance framework can provide timely, trusted, and high-quality data to everyone in your organization. Also see the features of one data governance framework.

  • Understanding InfoSphere BigInsights - An Introduction for Software Architects and Technical Leaders

    Sponsored by: IBM

    This white paper describes one big data platform, which includes software for processing streaming and persistent data. Read on to get an in-depth look at how this platform makes sifting through large volumes of diverse data practical, contains built-in analytics technology, and more.

  • Hadoop and the Modern Data Supply Chain

    Sponsored by: Attunity

    In this white paper, learn how organizations are coordinating multiple data sources in a data supply chain, enabling insights to travel nimbly throughout the enterprise. Additionally, learn the pros and cons of using Hadoop to process data, and how you can modernize the way you use data.

  • Is The Data Warehouse Dead?

    Sponsored by: IBM

    This white paper investigates the current state of data warehouses as big data comes to the forefront as an alternative. Read on to see what a survey of you peers thought regarding the question of the death of data warehouses.

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