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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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How SQL Server 2016 Measures Up: Business Value, Database Performance, and Security
sponsored by Microsoft
RESEARCH CONTENT: Uncover Crimson Consulting's findings about the potential business value of Microsoft SQL Server 2016 and how it performs when it comes to high speed analytics, database security, big data, cloud integration, and beyond.
Posted: 11 Sep 2017 | Published: 11 Sep 2017

Microsoft

Enterprise Data Warehouses and BI in the Age of Cloud Computing and Big Data
sponsored by Microsoft
WHITE PAPER: Explore 6 detailed use cases to find out how enterprises across a wide array of industries are making cloud-based data management platforms, data warehouses, and analytics work to break down silos and process unstructured data.
Posted: 07 Sep 2017 | Published: 07 Sep 2017

Microsoft

The Data Warehouse Evolved: A Foundation for Analytical Excellence
sponsored by IBM
RESEARCH CONTENT: Learn about the current state of data warehouses, data lakes, and analytics and find out how to optimize your management of assets like machine data and unstructured data.
Posted: 28 Aug 2017 | Published: 31 May 2017

IBM

Cloud-Based BI and Analytics Systems Start Taking a Firmer Shape
sponsored by SearchBusinessAnalytics
EBOOK: In this expert handbook, explore the current state of cloud BI and analytics adoption and examine how companies like Lenovo are migrating big data and predictive analytics to the AWS cloud.
Posted: 24 Aug 2017 | Published: 29 Jun 2017

SearchBusinessAnalytics

The Modern Approach to Business Intelligence
sponsored by Tableau Software
WHITE PAPER: Whether you're working with data in spreadsheets, warehouses, or across disparate data sets, this white paper explores how to improve analytics and access to real-time insights. Uncover the 7 key attributes that are shaping the modern approach to business intelligence.
Posted: 10 Aug 2017 | Published: 10 Aug 2017

Tableau Software

Vitria VIA IoT Analytics Platform Overview
sponsored by Vitria Technology, Inc.
VIDEO: This brief webcast examines Vitria and their real-time IoT analytics platform. Learn how to generate faster insights to drive smarter decision-making and bolster IoT business strategies, predictive analytics, data visualizations, and more.
Posted: 07 Jul 2017 | Premiered: 07 Jul 2017

Vitria Technology, Inc.

Understanding the 4 Zones of Data Lake Architecture
sponsored by Zaloni
VIDEO: In this presentation, Zaloni CEO and co-founder Ben Sharma discusses the 4 zones of data architecture, the challenges and tools to building data lakes, and how you can leverage your data lake to serve your needs.
Posted: 29 Jun 2017 | Premiered: 22 Jun 2017

Zaloni

Analytics in Action: Tackling the Big Data Headache
sponsored by SAS
RESOURCE CENTER: Find out how to take the big data challenge and turn it into a golden opportunity for your company with new approaches to data management and analytics. Learn about 5 steps to maximize the value of Hadoop and your data warehouse, 3 use cases for predictive analytics, and more.
Posted: 01 Jun 2017 | Published: 01 Jun 2017

SAS

Better Together? Hadoop and Your Enterprise Data Warehouse
sponsored by SAS
RESOURCE CENTER: Explore ways to overcome the challenges of moving your entire data warehouse to Hadoop. Plus, hear from big data expert Tom Davenport on augmenting small data projects with Hadoop big data initiatives.
Posted: 25 May 2017 | Published: 25 May 2017

SAS

3 Ways to Modernize Your Data Strategy in Minutes
sponsored by Google
WHITE PAPER: Today's organizations are rushing to create actionable insights out of their big data, and this starts with modernizing data warehouses. This white paper provides 3 tips to making your warehouse stronger, smarter, and more profitable.
Posted: 23 May 2017 | Published: 23 May 2017

Google

How Dollar Shave Club Cuts The Competition With a Data Advantage
sponsored by Looker
CASE STUDY: How does a small e-commerce business with a good idea - and a great sense of humor - solve their data bottleneck and go up against leading retail giants to win? Ask Dollar Shave Club. In this case study, learn how this e-commerce upstart trimmed its data bottleneck considerably.
Posted: 09 May 2017 | Published: 09 May 2017

Looker

The Enterprise-Wide Benefits of Real-Time Data
sponsored by Tealium
WHITE PAPER: Organizations that support real-time customer data enable marketers and data analysts to work with the same source, closing enterprise-wide gaps in insights. Read on to learn more about real-time data enrichment tools.
Posted: 22 Mar 2017 | Published: 22 Mar 2017

Tealium

Why Your Data Warehouse Needs a Data Lake and How to Make Them Work Together
sponsored by Zaloni
WHITE PAPER: Complementing your DW with a data lake can be a smart first step. But before tackling a DW augmentation project, it's a good idea to review your current resources and understand what you'll need. Explore 2 reasons why companies augment their DW, tips for seamlessly integrating a data lake into a DW, and more.
Posted: 19 Jan 2017 | Published: 19 Jan 2017

Zaloni

A Governed Data Lake: The 360┬░ 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

An Analytics Use Case for Unified Data
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

Data Management Architectures for Advanced Business Use Cases
sponsored by Zaloni
EBOOK: Data lakes allow for all data to be stored regardless of source or format, including new types of social media and IoT data. Access this e-book for a comprehensive guide to data lakes and determine whether a data lake or EDW is right for your business.
Posted: 12 Aug 2016 | Published: 04 Mar 2016

Zaloni

Architecting A Platform For Big Data Analytics
sponsored by IBM
WHITE PAPER: This Intelligent Business Strategies paper explains the new technical and data requirements for identifying, processing, and analyzing data. Discover how to become a disruptor by gaining an understanding of shifting customer behavior.
Posted: 15 Jul 2016 | Published: 31 Mar 2016

IBM

Big Data Poses Weighty Challenges for Data Integration Best Practices
sponsored by SearchDataManagement
EBOOK: Organizations that deploy big data platforms are finding that they also need an upgraded data integration framework to meet rising demands. In this expert handbook, uncover advice on how to navigate the demands of big data architectures, high volume data warehousing, and data lakes by updating your data integration strategy.
Posted: 15 Mar 2017 | Published: 28 Mar 2017

SearchDataManagement

Data Warehousing Is Improved By Integrating Big Data Capabilities
sponsored by IBM
EGUIDE: Both big data and data warehousing systems experience increased performance when they work together. In this expert e-guide, uncover the importance of data warehouses' storage and organization abilities, and learn how they can be combined with the increased analytics power of big data systems to provide improved insights.
Posted: 20 Oct 2016 | Published: 20 Oct 2016

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

An Integrated Approach: Analytics, Data Warehouses, Big Data and More
sponsored by IBM
WEBCAST: Find out how you can leverage an integrated appliance to make data computing simpler. You'll discover how to bring analytics right into the database, add agility, and eliminate siloes. Additionally, you'll learn how to optimize the performance of data warehouse services for analytic apps, including those that require big data capabilities.
Posted: 19 Aug 2016 | Premiered: Aug 19, 2016

IBM

Hadoop Deployments: Maximizing Efficiency for Big Data Analytics
sponsored by IBM
EGUIDE: Many businesses recognize Hadoop as a premier cloud app framework, but they still don't know how to deploy Hadoop properly or prepare for its pitfalls. In this e-guide, we identify and explore some of the biggest Hadoop challenges. Find out how to resolve these issues and unlock the benefits of big data analytics.
Posted: 28 Jul 2016 | Published: 26 Jul 2016

IBM

Maximizing Your Data Lake with a Cloud or Hybrid Approach
sponsored by IBM
WHITE PAPER: Access this Aberdeen Research report to discover how a Hadoop-based data lake maintained in a cloud or hybrid environment can provide benefits such as greater access to data across the organization, enhanced accuracy in the analysis process, and more.
Posted: 14 Jul 2016 | Published: 31 May 2016

IBM

The Future of Data Warehousing Infrastructure and Architectures
sponsored by IBM
EGUIDE: This e-guide examines how a shift from traditional data warehousing (DW) appliances to an infrastructure that combines traditional DWs with big data technologies offers new opportunities for businesses to address needs such as costs, flexibility and agility while eliminating key technology silos.
Posted: 13 Jul 2016 | Published: 11 Jul 2016

IBM
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