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Data Warehouse Software

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ALSO CALLED: Data Cleansing Software
DEFINITION: Databases, frequently very large, that are designed to support decision-making in an organization.
Data Warehouse Software Reports
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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

Five Things to Look for When Implementing a Data Warehouse
sponsored by IBM
WHITE PAPER: Discover a 5-step checklist for important criteria in selecting data warehouse technologies, backed by a recent study.
Posted: 24 May 2017 | Published: 24 May 2017

IBM

3 Ways to Modernize Your Data Strategy in Minutes
sponsored by Google Cloud
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 Cloud

Managing Data Complexity: Does Your Warehouse Measure Up?
sponsored by IBM
WHITE PAPER: Learn how to see an increase in revenue by receiving timely data. Access this quick guide to find your way to a Hybrid data warehouse report by Aberdeen Group.
Posted: 22 May 2017 | Published: 22 May 2017

IBM

How Hybrid Cloud Options Complement the On-Premises Data Warehouse
sponsored by Teradata
CASE STUDY: In this double case study, learn how Core Digital Media, an online marketing company, and an anonymous global mining company, adopted Teradata cloud to complement their on-premise data warehouses. Discover the benefits both realized, including lower costs and greater flexibility.
Posted: 18 May 2017 | Published: 23 Feb 2016

Teradata

The Current State of The Cloud Analytics and Data Warehouse Market
sponsored by Teradata
WHITE PAPER: As adoption of cloud software increases, organizations are evaluating the pros and cons of deploying software on the cloud – including data warehousing tools. In this IDC technology spotlight, uncover the current state of the cloud analytics market. Plus, learn about Teradata, a provider of big data analytics and marketing applications technology.
Posted: 17 May 2017 | Published: 01 Jun 2016

Teradata

AWS and Data Warehousing: Extending Your Data Analytics With The Right Tools
sponsored by Looker
PRODUCT OVERVIEW: Amazon Web Services (AWS) sets a standard for delivering customers a wide range of innovative cloud services. Learn about Amazon Webshift, which extends the power of AWS by providing a high-performance data warehousing tool and data management for today's new analytics workloads.
Posted: 11 May 2017 | Published: 11 May 2017

Looker

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

Big Data Integration: 3 Vendors Changing the Game
sponsored by Looker
RESEARCH CONTENT: How are you going to get more value from your data lake? 3 vendors — Looker Data Sciences, SnapLogic, and Snowflake Computing — offer new ways of making processes faster and more valuable. Inside this Forrester Research Inc. report, learn how they're pushing the boundaries of big data integration with new ideas about how to get value faster.
Posted: 09 May 2017 | Published: 01 Jun 2016

Looker

Data integration strategy: A clearer path for data
sponsored by TechTarget
RESOURCE: A data integration strategy can help organizations get the most out of information that lies in every corner—from data warehouses to cloud applications. Gain insight and advice on building an integration strategy to support diverse pools of data and modern application needs in our expert guide, The Glue in Data-Driven Businesses.
Posted: 03 May 2017 | Published: 02 Nov 2015

TechTarget

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

Drive Deeper Insights across Data with SQL Server 2016
sponsored by Microsoft
WHITE PAPER: Explore how SQL Server 2016 can help drive deeper insights into big data from both relational and non-relational sources, in the cloud and on-premise. Discover how SQL Server 2016 helps you store data in more formats at scale, open up data access, provide predictive analytics, and share insights on-premise, via the web, and through mobile devices.
Posted: 20 Feb 2017 | Published: 30 Jun 2016

Microsoft

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

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

TDWI Checklist Report: Data Warehousing in the Cloud
sponsored by IBM
RESOURCE: Could you be gaining greater business value from your data by utilizing a cloud-based data warehouse? Uncover a 7-point checklist that will facilitate easy adoption, including instructions on how to meet consistent performance requirements and proactively manage data connectivity.
Posted: 30 Sep 2016 | Published: 30 Sep 2016

IBM

A Data Warehouse for Big Data and Beyond
sponsored by IBM
WHITE PAPER: Considering how heavily business decisions now rely on data (and now big data), your data warehouse needs to be working at its maximum potential to handle the demands. If you're just exploring what's out there, or looking to optimize/modernize your warehouse, learn which services will be needed in the era of big data.
Posted: 19 Aug 2016 | Published: 31 Dec 2015

IBM

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

How Hadoop Can Make Integrating Structured And Unstructured Data Simple and Easy
sponsored by IBM
WHITE PAPER: Access this white paper to learn how Hadoop can serve as an integration platform to harmonize data in a way that can be processed in relational databases and data warehouses. Inside, discover how Hadoop acts as a data lake, making mining for important information simple, simplify data access for non-technical users, and more.
Posted: 21 Nov 2016 | Published: 21 Nov 2016

IBM

Hadoop Makes Big Data Storage Accessible For Everyone
sponsored by IBM
WHITE PAPER: Discover how Hadoop flipped the traditional big data storage paradigm by adopting a philosophy of using commodity hardware and storage to build the equivalent of a data warehouse at a much lower cost. Learn how Hadoop's extreme flexibility gives it the ability to natively scale-out and accommodate both structured and unstructured data.
Posted: 18 Nov 2016 | Published: 18 Nov 2016

IBM

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
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