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Data Warehouse Architectures Research

  • Modern Data Warehouse Maturity Model Guide

    Sponsored by: Google Cloud

    Take a free assessment of your data warehouse's maturity and get your results immediately. Courtesy of TDWI in collaboration with Google Cloud.

  • Bring the 21st Century into Your Analytics Environment

    Sponsored by: Incorta

    In this paper, discover how to implement a successful analytics modernization project. Explore 3 logical approaches for migrating to a new analytics environment, and learn how to augment the capabilities of your existing data warehouse.

  • How to Analyze JSON with SQL

    Sponsored by: Snowflake

    In this e-book, discover a modern approach to producing analytics from JSON data using SQL. Learn how to load your semi-structured data directly into a relational table using Snowflake, and explore how Snowflake can help your organization optimize support for processing semi-structured data and more.

  • The Data Warehouse: The Engine That Drives Data Analytics

    Sponsored by: Snowflake

    In this e-book, discover the challenges enterprises face when turning data into business insight. Explore the technologies available to enterprises looking to keep up with the analytics revolution, and learn how a modern cloud data warehouse can help your organization maximize speed, increase flexibility, streamline data processes, and more.

  • Calculate Your Savings with Oracle Autonomous Data Warehouse

    Sponsored by: Oracle Corporation

    How much could your business possibly save with Oracle Autonomous Data Warehouse? Calculate your savings in 4 simple steps, and learn how Oracle's autonomous data management can help your company make quicker decisions and derive more value from your data.

  • The Data-Driven Enterprise Done Right

    Sponsored by: Snowflake

    Consider having secure access to a near-infinite level of data warehousing storage supporting a myriad of data sources - all without the time-consuming maintenance. Read this white paper to learn how to reinvent your analytics with data warehousing designed for the cloud.

  • Cloud Data Warehouse StreamSets for Snowflake┬«

    Sponsored by: StreamSets

    Read this white paper to learn more about Snowflake Elastic Data Warehouse and discover if your data streams should be flowing into a cloud-native warehouse.

  • Increase Data Lake ROI with Streaming Data Pipelines

    Sponsored by: Attunity

    According to Gartner, 90% of data lakes will be rendered useless as they are overwhelmed by information assets captured for uncertain use cases. In this white paper, discover the tools needed to prevent your data lake from turning into a data swamp, and rethink data lake solutions with insight from industry experts.

  • TWI Data Warehousing in the Cloud

    Sponsored by: Google Cloud

    When considering a move to the cloud, organizations should consider 2 possible architectures: Data warehouses in the cloud and cloud-native data warehouses. Read this e-book to learn more about the differences between these 2 options.

  • The Economic Advantage of Google BigQuery On Demand-Serverless Analytics

    Sponsored by: Google Cloud

    Enterprise Strategy Group (ESG), which examined the economic value propositions of Google BigQuery and alternative big data solutions, reports that BigQuery enables organizations to:

  • Modern Data Warehousing: Analytics without the Modeling

    Sponsored by: Incorta

    This Eckerson Group report details 3 new approaches to data-driven environments that are replacing traditional approaches of data warehousing. Learn how the downsides of traditional data warehousing are being tackled by these new methods and with less need for data modeling.

  • 6 Simple Steps for Re-Platforming in the Age of the Data Lake

    Sponsored by: StreamSets

    The key to re-platforming your data warehouse architecture involves understanding the implications of building, executing and operating dataflow pipelines. This white paper is designed to help navigate the re-platforming process and provides 6 simple steps to help you meet your project goals.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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 they can be combined with the increased analytics power of big data systems to provide improved insights.

  • Hadoop Deployments: Maximizing Efficiency for Big Data Analytics

    Sponsored by: IBM

    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.

  • The Future of Data Warehousing Infrastructure and Architectures

    Sponsored by: IBM

    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.

  • TechTarget Solution Spotlight: Big Data Challenges & Pitfalls

    Sponsored by: IBM

    Access this expert e-guide to get real-world strategies and advice on how best to manage your big data warehousing and processing, and common pitfalls to avoid.

  • HTML5 Rewrites the Rule on Web Development

    Sponsored by: SearchDataManagement

    This special edition of Business Information explores how upgrades enterprises' ability to create robust Web and mobile applications and rewrite the rules of development.

  • How Eliminating SAN from your Oracle Data Warehouse can Increase Performance

    Sponsored by: Dell, Inc. and Fusion-io

    In this paper, a business intelligence provider for the semiconductor industry eliminated SAN from its Oracle data warehouse to increase their average performance 5 to 10 fold.

  • Solution Spotlight: The Future of Data Warehousing Infrastructure and Architectures

    Sponsored by: IBM

    This e-guide examines why the data warehousing appliance business case must trump traditional tools for business to address needs such as costs, flexibility and agility while eliminating key technology silos.

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