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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 Reports
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Cloud-based data warehousing as-a-service, built for analytics
sponsored by IBM
MICROSITE: Discover how a cloud-based data warehouse service offers integrated analytics to rapidly deliver answers. IBM's dashDB offers unique in-database analytics, R predictive modeling, and business intelligence tools could free you to analyze your data and get precise insights, quicker.
Posted: 21 Jun 2016 | Published: 31 Jul 2015

IBM

30-Day dashDB: Test Drive Data Warehousing and Analytics Functionalities
sponsored by IBM
TRIAL SOFTWARE: A well-designed data warehouse system can help boost the corporate bottom line, but if you aren't careful, data warehouse performance can bog down in different places. Start a free 30-day trial to dashDB, a fully-managed cloud data warehouse built specifically for analytics. Take their data warehousing and analytics capabilities for a test drive.
Posted: 21 Jun 2016 | Premiered: 17 Jun 2016

IBM

Preparing Your Data Architecture for Big Data Analytics
sponsored by Hewlett-Packard Enterprise
EGUIDE: In this e-guide, analytics expert Lyndsay Wise reveals the 4 crucial factors to keep in mind before embarking on a big data project. Ahead, we explore why traditional data warehouse architectures aren't a good fit for the challenges of big data.
Posted: 10 Jun 2016 | Published: 10 Jun 2016

Hewlett-Packard Enterprise

Getting More Out of Hadoop Data Lakes and Big Data
sponsored by IBM
EGUIDE: This in-depth guide provides expert insights into the challenges posed by big data today and how technology is advancing to help overcome them. Learn what to consider before adopting a data lake, how Hadoop is coming closer to bridging the enterprise data warehouse gap, and more.
Posted: 07 Jun 2016 | Published: 07 Jun 2016

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

Data Warehouse and Data Management Solutions for Analytics
sponsored by Microsoft
WHITE PAPER: In this white paper, discover which vendors are leading the pack in the data warehousing and data management for analytics market. Explore the strengths, weaknesses of 21 vendors, including Oracle, IBM, SAP, and more.
Posted: 06 May 2016 | Published: 25 Feb 2016

Microsoft

Enabling an Agile Data Warehouse with Automation
sponsored by Attunity
WEBCAST: Watch this webinar to learn how to overcome the limitations of traditional data warehouses with modern technology, which can enable you to automate and accelerate routine IT tasks associated with designing, creating, populating, and managing data warehouses and data marts.
Posted: 05 May 2016 | Premiered: Mar 10, 2016

Attunity

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

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

Unifying Data Access across the Logical Data Warehouse
sponsored by IBM
WHITE PAPER: 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.
Posted: 20 Apr 2016 | Published: 30 Nov 2015

IBM

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

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

Big Data Meets the Cloud
sponsored by Attunity
WEBCAST: With the rise of big data, traditional data management strategies just can't keep pace with the demands of today's business users. Discover the benefits and challenges that companies have experienced by moving their data to the cloud.
Posted: 15 Apr 2016 | Premiered: Mar 2, 2016

Attunity

Hadoop Meets the Logical Data Warehouse Webinar
sponsored by Attunity
WEBCAST: In this webinar, IT leaders discuss how businesses can get the right data, at the right place and time, so that they can extract value from the data as possible. Specifically, learn the process for setting up a logical data warehouse, and how Hadoop factors into the equation.
Posted: 15 Apr 2016 | Premiered: Feb 25, 2016

Attunity

Best Practices for the Data Lake
sponsored by Attunity
WHITE PAPER: 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.
Posted: 14 Apr 2016 | Published: 24 Feb 2016

Attunity

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

Designing a Data Virtualization Environment: A Step-By-Step Approach
sponsored by Red Hat
WHITE PAPER: 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.
Posted: 04 Apr 2016 | Published: 29 Jan 2016

Red Hat

Designing a Logical Data Warehouse
sponsored by Red Hat
WHITE PAPER: 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.
Posted: 01 Apr 2016 | Published: 01 Apr 2016

Red Hat

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

SQL Server 2014 and the Data Platform
sponsored by Microsoft
WHITE PAPER: This data sheet presents three reasons SQL Server is beneficial to the enterprise, offering details about each one. Discover why building, deploying, and managing solutions that span on-premises and cloud environments just got easier.
Posted: 03 Feb 2016 | Published: 31 Mar 2014

Microsoft

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

Date Lake: Adoption and Maturity Survey Findings Report
sponsored by Attunity
RESEARCH CONTENT: 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.
Posted: 20 Jan 2016 | Published: 20 Jan 2016

Attunity

Preparing Your Data Architecture for Big Data Analytics
sponsored by Hewlett-Packard Enterprise
EGUIDE: While big data can provide actionable insights to drive business value, your enterprise can't experience those benefits without the right data architecture in place first. In this e-guide, analytics expert Lyndsay Wise reveals the 4 crucial factors to keep in mind before embarking on a big data project.
Posted: 25 May 2016 | Published: 16 May 2016

Hewlett-Packard Enterprise

Building a Smart Data Lake
sponsored by Cambridge Semantics
VIDEO: In this short video you will learn how top companies are creating "smart data" that can be used anywhere in the organization. Read on to discover how the smart data lake can help you solve your most pressing business challenges.
Posted: 10 Feb 2016 | Premiered: 10 Feb 2016

Cambridge Semantics
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