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Data Warehouses Research

  • Data Warehousing Is Improved By Integrating Big Data Capabilities

    Sponsored by: IBM

    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, in the future, they will be combined with the increased analytics power of big data systems to provide improved insights.

  • The Buyer's Checklist to Evaluating iPaaS

    Sponsored by: Azuqua

    Access this buyer's checklist to find out if selecting an integration platform-as-a-service (iPaaS) tool is the right way to make your IT team more agile and efficient. Uncover key considerations like the range of usability, IT visibility, integrating SaaS, microservices, and APIs, and more.

  • Visualizing the Future of Big Data and Predictive Analytics

    Sponsored by: SearchDataManagement

    Explore how predictive analytics and data visualization can help you make sense of your analytics, how a security expert/cryptographer is using big data analytics and the cloud to make open source code safe for app developers and off-limits to hackers, and more.

  • Introducing Microsoft SQL Server 2016

    Sponsored by: Microsoft

    This robust e-book explores SQL Server 2016. Learn about its newest capabilities that can enable you to boost performance with: faster queries, an improved database engine, integrated reporting and analytics, and more.

  • Free Trial of a Cloud –Based Analytics Platform

    Sponsored by: IBM

    Take advantage of this limited 30-day trial of a fully-managed, SQL database services. You can use it for data warehousing and analytics, or transactional and web workloads. The database comes with on-disk encryption, daily backups and a web console packed with features, including an SQL editor, data import tools and more.

  • Avnet, Inc: Serving up Insight to Customers Faster than Ever with Data Analytics and Warehousing in the Cloud

    Sponsored by: IBM

    Learn how to accelerate analytics and reporting with a cloud-based data warehousing platform that combines high-performance in-memory technology with in-database analytics processing. Download now to turn data into actionable insights, and fast.

  • Cloud and Local Data Warehousing: Purpose-Built for Analytics

    Sponsored by: IBM

    Discover an overview of a data warehouse appliance purpose-built for analytics on both cloud and locally, optimized to handle newer data types and applications in today's hybrid environments. Learn how to enact elastic scaling with a database that can rapidly compose new applications.

  • Achieve Fully Managed Cloud Data Warehousing with High Speed and Scalability

    Sponsored by: IBM

    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.

  • In-Database Analytics: Cut Complexity and Costs with the Cloud

    Sponsored by: IBM

    The following stats can help bridge the gap between IT and business professionals in an analytics-driven market. Discover about what deploying in-database analytics in a cloud environment can do for profit growth, cost reduction, and more.

  • Data Warehousing in the Cloud: An Essential Adoption Checklist

    Sponsored by: IBM

    Discover how to glean 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.

  • Why Cloud is The Future of Data Warehousing

    Sponsored by: IBM

    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.

  • Data Warehousing in The Cloud: Research Content

    Sponsored by: IBM

    This Harvard Research Group (HRG) assessment can help organizations like yours transform to better take advantage of the cloud, big data, and the IoT. Explore how you can provide automatic restart functionality to your data warehouse, as well as provide a high degree of scalability.

  • Accelerate and Simplify Oracle with Rack-Scale Flash Storage

    Sponsored by: Dell EMC

    This resource explores how you can speed up workloads and deliver agility in Oracle environments. Discover how to accelerate analytics for larger data sets, enable self-service, and more.

  • Ask for More from Your Data

    Sponsored by: SAP/Lenovo/Intel

    Leveraging the SAP HANA platform can help companies scale their data warehouses, perform consistent transactions, and improve query performance. Discover ways to make more timely decisions based on data analytics delivered in minutes instead of days.

  • Analytics in Healthcare: How 5 Healthcare Providers Are Turning Data Into Value

    Sponsored by: Information Builders

    This study examines how 5 healthcare organizations, participating in a collaborative forum for promoting best practices, are leveraging analytics and BI to drive organizational improvement and integrate data from multiple sources. Access now to learn about their data strategies and get tips about self-service BI, how to empower users, and more.

  • Multifaceted IoT Data Management Demands Vigilance, Flexibility, Upgrades

    Sponsored by: SearchDataManagement

    This handbook on IoT data management practices examines the challenges that must be addressed on the road to effective IoT management. It advises organizations to bulk up their IT architecture before tackling massive amounts of IoT data, proposes four critical steps in formulating all-encompassing IoT data management practices, and more.

  • Developing a Strategy for Data Lake Governance

    Sponsored by: Zaloni

    Access this webinar to learn about how to develop the best data lake governance strategy to fit your organization's goals. Discover how to start building and managing your data lake while enabling it to deliver valuable, actionable business insight.

  • Realizing the Promise of a Data Lake

    Sponsored by: Zaloni

    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.

  • Data Lakes: The 360-Degree Approach

    Sponsored by: Zaloni

    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.

  • Defining the Data Lake and Common Use Cases

    Sponsored by: Zaloni

    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.

  • Architecting Data Lakes: Data Management Architectures for Advanced Business Use Cases

    Sponsored by: Zaloni

    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.

  • Improving Manufacturing with Advanced Data Analytics

    Sponsored by: Intel Corporation

    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.

  • Integrated Analytics: Manage the Growing Diversity of Sales and Marketing Data Sources

    Sponsored by: Intel Corporation

    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.

  • Database Explorations: Learn About Redis NoSQL Server Clusters

    Sponsored by: IBM

    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.

  • An Integrated Approach: Analytics, Data Warehouses, Big Data and More

    Sponsored by: IBM

    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.

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