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Data Warehouse Architectures

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ALSO CALLED: Tactical Data Warehouse Development
DEFINITION: An integrated set of products enabling the extraction and transformation of data to be loaded into a database for end-user analysis and reporting.
Data Warehouse Architectures White Papers (View All Report Types)
1 - 25 of 98 Matches Previous Page  |  Next Page
Achieve Fully Managed Cloud Data Warehousing with High Speed and Scalability
sponsored by IBM
WHITE PAPER: When pairing massive parallel processing (MPP) with cloud data warehousing, your database can reach new performance heights. Discover ways to remove the complexity of database management, scale out your data warehouse in the cloud, and more.
Posted: 30 Sep 2016 | Published: 30 Sep 2016

IBM

In-Database Analytics: Cut Complexity and Costs with the Cloud
sponsored by IBM
WHITE PAPER: In this infographic, you'll discover helpful stats for bridging the gap between IT and business professionals in an analytics-driven market. Access now to learn more about what deploying in-database analytics in a cloud environment can do for profit growth, cost reduction, and more.
Posted: 30 Sep 2016 | Published: 30 Sep 2016

IBM

Why Cloud is The Future of Data Warehousing
sponsored by IBM
WHITE PAPER: This 2 page whitepaper explores how you can stay ahead in a world full of big data by combining the processing power of data warehousing with the agility and flexibility of the cloud. Find out how you can determine data quality with an automated efficiency query, advance processing so your entire dataset doesn't have to fit in-memory, and more.
Posted: 30 Sep 2016 | Published: 30 Sep 2016

IBM

Realizing the Promise of a Data Lake
sponsored by Zaloni
WHITE PAPER: From 2010 to 2020, the amount of data is expected to increase by 20 times, with 77% of relevant data being unstructured. Learn why enterprise data warehouses (EDWs) can't always deliver the necessary insights and discover how Hadoop data lakes can pick up where EDWs leave off.
Posted: 16 Aug 2016 | Published: 16 Aug 2016

Zaloni

Data Lakes: The 360-Degree Approach
sponsored by Zaloni
WHITE PAPER: With so much data available, managed data lakes are becoming crucial to the modern data architecture. Learn how they can give your enterprise the agility and scalability needed for timely discovery and valuable business insights from big data.
Posted: 15 Aug 2016 | Published: 15 Aug 2016

Zaloni

Defining the Data Lake and Common Use Cases
sponsored by Zaloni
WHITE PAPER: In a time when the variety and volume of data is continuously growing, data lakes are an emerging and powerful architectural approach, providing much needed flexibility. Learn more about the differences between data lakes and EDWs, keys to data lake management, and common use cases.
Posted: 15 Aug 2016 | Published: 15 Aug 2016

Zaloni

An Integrated Platform Approach Brings IT Goals within Reach
sponsored by Red Hat
WHITE PAPER: IT is taking advantage of new aggregations of servers, open source operating systems, and in-memory technology to accelerate business transformation. Discover how these tools can help leverage big data and analytics, modernize the data warehouse, and more.
Posted: 19 Jul 2016 | Published: 19 Jul 2016

Red Hat

Augment and Extend the Life of Your Data Warehouse
sponsored by IBM
WHITE PAPER: Learn how organizations currently using a high powered data warehouse appliance can augment and extend the life of their data warehouses with industry-leading cloud data services. Discover tips for "future-proofing" your data warehouse and more.
Posted: 05 Jul 2016 | Published: 31 Oct 2015

IBM

Cloud-based data warehousing as-a-service, built for analytics
sponsored by IBM
WHITE PAPER: Traditional data warehousing has long been a painstaking endeavor, but today you have other options. Read on to learn about a fully managed, cloud data warehouse solution and the benefits it could help you realize.
Posted: 17 Jun 2016 | Published: 31 Jul 2015

IBM

Big Data Era: Embrace Speed & Simplicity in your Data Warehouse for a Competitive Edge
sponsored by IBM
WHITE PAPER: 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.
Posted: 28 Apr 2016 | Published: 31 May 2014

IBM

Ensuring a Sustainable Architecture for Big Data Analytics
sponsored by Idera
WHITE PAPER: 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.
Posted: 19 Apr 2016 | Published: 31 Oct 2015

Idera

Orlin & Cohen Orthopedic Group Benefits from a 24x7 Managed Electronic Medical Records Database Architecture
sponsored by Cintra/Oracle
WHITE PAPER: 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.
Posted: 07 Apr 2016 | Published: 07 Apr 2016

Cintra/Oracle

Analytics in a Dash: Strategies to Speed Data Warehousing and Analysis in the Cloud
sponsored by IBM
WHITE PAPER: Turning to advanced analytics tools accelerates the transition from data to decision. Explore how new cloud-based data warehousing and analytics solutions can level the playing field for traditionally-structured businesses.
Posted: 01 Mar 2016 | Published: 01 Mar 2016

IBM

Data Warehouse Appliances: Impact and Best-in-Class Capabilities
sponsored by IBM
WHITE PAPER: 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.
Posted: 05 Feb 2016 | Published: 30 Sep 2015

IBM

The Integral Parts of a Logical Data Warehouse
sponsored by IBM
WHITE PAPER: 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.
Posted: 03 Feb 2016 | Published: 31 Dec 2014

IBM

Four Critical Concepts for Planning the Logical Data Warehouse
sponsored by IBM
WHITE PAPER: 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.
Posted: 21 Oct 2015 | Published: 30 Jun 2015

IBM

Data Governance Framework: A Blueprint for Success
sponsored by SAS
WHITE PAPER: 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.
Posted: 20 Oct 2015 | Published: 31 Dec 2014

SAS

Is The Data Warehouse Dead?
sponsored by IBM
WHITE PAPER: 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.
Posted: 15 Sep 2015 | Published: 31 Jan 2015

IBM

Improving Manufacturing with Advanced Data Analytics
sponsored by Intel Corporation
WHITE PAPER: Increasing complexity in products, manufacturing processes, and the Internet of Things (IoT) means that massive amounts of data are being generated every day. Find out how to address 3 of the biggest challenges of data management with integrated analytics so you can reduce costs, improve process cycle time, and speed up time to market.
Posted: 24 Aug 2016 | Published: 31 May 2016

Intel Corporation

Integrated Analytics: Manage the Growing Diversity of Sales and Marketing Data Sources
sponsored by Intel Corporation
WHITE PAPER: This white paper explores how to enable an integrated analytics approach by leveraging data lake models, visualizations, and self-service BI. Find out to simplify big data, overcome traditional data warehouse limitations, and increase efficiency with automation.
Posted: 24 Aug 2016 | Published: 31 Oct 2015

Intel Corporation

Database Explorations: Learn About Redis NoSQL Server Clusters
sponsored by IBM
WHITE PAPER: This geek guide by web development expert Reuven Lerner highlights the factors that make Redis NoSQL server clusters worth considering. Explore the technical underpinnings that make Redis currently the most popular NoSQL technology.
Posted: 19 Aug 2016 | Published: 31 Dec 2015

IBM

Data Warehousing in the Cloud
sponsored by IBM
WHITE PAPER: Using a cloud-based data warehouse provides value. Uncover ways this approach to data warehousing can reduce startup costs, potentially eliminate ongoing maintenance costs, accelerate analysis, and more.
Posted: 23 May 2016 | Published: 23 May 2016

IBM

Making an Operational Data Store (ODS) the Center of Your Data Strategy
sponsored by Attunity
WHITE PAPER: This white paper provides an overview of why organizations today need operational data stores, how to sell an ODS to 5 different stakeholder groups, and best practices for implementing an ODS.
Posted: 03 May 2016 | Published: 31 Dec 2015

Attunity

How to Unlock Big Data's True Potential
sponsored by IBM
WHITE PAPER: 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.
Posted: 19 Apr 2016 | Published: 31 Oct 2014

IBM

Hadoop and the Modern Data Supply Chain
sponsored by Attunity
WHITE PAPER: 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.
Posted: 23 Sep 2015 | Published: 23 Sep 2015

Attunity
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