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Data Warehouse Software Research

  • Transforming Data Management with Autonomous Warehousing

    Sponsored by: Oracle Cloud

    Can your data warehouse manage rapid data and user growth? Is it growing too complex to manage efficiently? These questions and more cross the minds of CIOs as they evaluate their data management strategies. Learn how you can modernize your data warehouse and keep pace with today's data demands.

  • Is a Cloud Data Warehouse Right for You?

    Sponsored by: SnapLogic

    Use this Eckerson Group research to learn more about the benefits and challenges of a cloud data warehouse, and assess your business' readiness for a move on factors including agility, security and networking.

  • The Data Lake Data Integration Challenge

    Sponsored by: SnapLogic

    This white paper explores how to update data integration to meet the unique challenges of big data and data lakes. With insights backed by Linthicum Research, learn how to meet the core data integration, governance, and security needs of data lakes.

  • The New Oracle Autonomous Data Warehouse Cloud

    Sponsored by: Oracle Corporation

    Learn about an autonomous data warehouse, built on the power of Oracle and designed to help you increase automation, support cloud compatibility, and maintain data security.

  • Are You Ready to Move to Self-Service Analytics Democratization?

    Sponsored by: Oracle Corporation

    Learn about the growing impact of self-service apps on modern analytics activities. Plus, explore the influence an autonomous data warehouse in helping business users and IT work together to produce faster insights.

  • Jump-Start Your Cloud Data Warehouse

    Sponsored by: SnapLogic

    Download this resource for the benefits and challenges of cloud data warehousing, and receive a 5-step guide to migrating to a cloud data warehouse.

  • Data Warehouse Approaches to Meet Today's Analytics Demands

    Sponsored by: IBM

    It's time to consider if a traditional data warehouse is up to the challenge of modern analytics requirements. Explore how a new kind of data warehouse can help with unstructured and streaming data.

  • The Hybrid Data Warehouse: Fluid, Flexible, and Formidable

    Sponsored by: IBM

    Explore how a hybrid data warehouse can help you maximize modern technologies and deployment styles for both on-premises and cloud deployments.

  • Successful Data Warehouse Approaches to Meet Today's Analytics Demands

    Sponsored by: IBM

    Find out how to support increasingly demanding transactional and analytic workloads so that you can enable more intelligence-driven decision-making by creating a hybrid data warehouse architecture.

  • Bridging to the Cloud: The Right Database can Make the Difference

    Sponsored by: IBM

    Learn about 7 factors that you should consider when making a strategic commitment to a database platform that acts as a bridge between legacy environments and the cloud.

  • The Enterprise Data Warehouse Lives on the Beating Heart of the Data Lake

    Sponsored by: Hortonworks

    Your enterprise might think it has to choose a data lake or a date warehouse, but there is a way to have both. Discover how the 2 technologies can be complementary and still cost-effective.

  • Secrets for Success with EDW Optimization and Analytics on Big Data

    Sponsored by: AtScale

    In this webcast, discover 6 key considerations for your business to ensure that optimizing your data warehouse with a big data service is the right move.

  • Run Critical Databases in the Cloud

    Sponsored by: Oracle Corporation UK Ltd

    This white paper explores the question of whether or not a public cloud is suitable place to house your key databases. Learn about the Oracle Database Cloud, and find out how you can leverage a secure database as a service (DBaaS) platform.

  • Empower LOB Managers with Cloud Apps and Databases

    Sponsored by: Oracle Corporation UK Ltd

    From marketing and sales to HR, finance, and beyond, many LOB managers are taking lead in incorporating more cloud technologies into their own business strategies. Find out how to craft your cloud app strategy and examine a variety of Oracle's cloud-based offerings.

  • The Power of DataOps and Digital Transformation

    Sponsored by: Delphix

    In this webcast, Eric Schrock, CTO at Delphix, discusses data challenges in the cloud, and approaches he's seen to be effective for organizations moving to the cloud. Uncover insights on cloud adoption, and how you can use DataOps to power a digital transformation, reduce data friction and more.

  • Unleash Intelligent Disruption with a Modern Data Warehouse

    Sponsored by: INFORMATICA

    Find out how to accelerate data warehouse modernization with advanced data management for Microsoft Azure. Learn how to provide greater access to data for faster decision-making powered by machine-learning.

  • Hybrid Cloud Data Management for Dummies

    Sponsored by: INFORMATICA

    In this "For Dummies" e-book, explore a variety of techniques, architectures, and toolsets organizations can use to turn the challenge of hybrid cloud data management into a competitive advantage.

  • The Modern Approach to Business Intelligence

    Sponsored by: Tableau Software

    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.

  • Vitria VIA IoT Analytics Platform Overview

    Sponsored by: Vitria Technology, Inc.

    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.

  • Cloud-Based BI and Analytics Systems Start Taking a Firmer Shape

    Sponsored by: SearchBusinessAnalytics

    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.

  • Big Data Poses Weighty Challenges for Data Integration Best Practices

    Sponsored by: SearchDataManagement

    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.

  • How Hadoop Can Make Integrating Structured And Unstructured Data Simple and Easy

    Sponsored by: IBM

    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.

  • Hadoop Makes Big Data Storage Accessible For Everyone

    Sponsored by: IBM

    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.

  • 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.

  • 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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