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Data Warehouse Software Research

  • 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.

  • Power Your AWS Data Lake With AI-Driven Data Management

    Sponsored by: INFORMATICA

    Learn how to establish an intelligent data management strategy that harnesses AI technologies for data lakes built on AWS so that you can take a metadata-driven approach to managing and analyzing big data volumes.

  • Tetra Pak: Achieving Detailed and Dynamic Reporting

    Sponsored by: SAP

    Find out how Tetra Pak enhanced reporting and made it more accessible for business users while reducing reliance on IT with seamless data integration, agile self-service apps, standardized BI user interfaces, and more.

  • Enabling the Agile Enterprise Through Unified Data

    Sponsored by: SAP India

    Learn about the journey toward the analytic-transactional data platform, and explore topics like data integration between databases and data warehouses, disk backup optimization for analytic data, the benefits of unified data for transactions and analytics, and more.

  • Five Reasons You're Not Getting the ROI You Expect from Your Cloud Data Warehouse Investment

    Sponsored by: Looker

    There would be no point in buying an iPhone to use it only as a watch, and the same goes for cloud data warehousing. To completely fulfill the promise of a cloud data warehouse, you must take advantage of what the cloud makes possible. Learn 5 ways you may be sabotaging the success of your cloud data warehouse, and find 3 ways to move forward.

  • SAP And AWS: IDEXX, Data Warehousing in the Cloud

    Sponsored by: Amazon Web Services

    What are the key business values of SAP's business warehouse, BW/4HANA? Inside, Pam Barrowcliffe, director of product marketing, SAP, explains data warehousing architecture with SAP BWoH hosted in an AWS environment. Plus, learn how IDECC Laboratories realized greater agility, innovation, cash flow and more.

  • BI and Analytics on a Data Lake

    Sponsored by: MapR

    BI and analytics plus big data equals an explosive business differentiator across all industries and regions. Discover how you can create actionable insights by building big data BI and analytics on data lakes and converged data platforms.

  • Planning for Digital Transformation with a Converged Data Platform

    Sponsored by: MapR

    Discover how to keep up with the progression of big data use cases by implementing a converged data platform that leverages the power of Hadoop, Spark, and Apache Drill.

  • 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.

  • 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.

  • Build the Case for a Managed Data Lake

    Sponsored by: Zaloni

    When enterprises have multiple sources of data, and many analytics tools, it's easy to lose track of the data. With a "managed" data lake, you'll know and trust your data. In this 63-page collection, uncover case studies of companies across industries that have deployed "managed" data lakes and other big data tools to achieve their business goals.

  • Analytics in Action: Tackling the Big Data Headache

    Sponsored by: SAS

    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.

  • Better Together? Hadoop and Your Enterprise Data Warehouse

    Sponsored by: SAS

    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.

  • AWS and Data Warehousing: Extending Your Data Analytics With The Right Tools

    Sponsored by: Looker

    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.

  • Data integration strategy: A clearer path for data

    Sponsored by: TechTarget

    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.

  • Why Your Data Warehouse Needs a Data Lake and How to Make Them Work Together

    Sponsored by: Zaloni

    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.

  • A Governed Data Lake: The 360° 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.

  • An Analytics Use Case for Unified Data

    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.

  • 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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