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Data Warehouse Architectures Research

  • What is an Open Data Lake?

    Sponsored by: Qubole

    With the rise in data lake popularity has come an explosion in the number of data lake vendors and types. Read on to learn why Open Data Lakes are ideal solutions for companies wishing to avoid vendor lock-in, develop additional in-house tools, and want to fully embrace continuous data engineering.

  • 3 Steps to Justify & Reduce the Cost of Your Data Lake

    Sponsored by: Qubole

    Now, as business leaders begin to expect returns or justifications on data initiatives, it’s important to ensure you can justify and control the spending related to your data lake. Read on to learn 3 ways you can reduce the cost of your cloud data lake and prove its value.

  • The Evolving Role of the Data Engineer

    Sponsored by: Qubole

    Instead of preparing static reports for marketers or salesmen, data engineers are finding that their job is changing. Analytics has become a dynamic conversation, and this conversation increasingly involves the cloud, data lakes, and more. Read on to learn more about the new role of the data engineer—and where it’s heading next.

  • Have You Reined in Your Big Data

    Sponsored by: Hitachi Vantara

    Tune into this webinar on September 23rd, 2020 at 8am PST to hear an exclusive discussion between 7 experts from Hitachi Vantara on how to transform your data lake into a data monetization platform and all that process entails.

  • Cloud Data Lake Platforms: Buyer's Guide

    Sponsored by: Qubole

    Companies seeking to improve their data architecture and prepare it for the changes that will happen in the coming years, should be seriously considering pairing a data lake with cloud technology. Check out this white paper to learn how cloud data lake architectures offer organizations scalable, agile, and adaptable storage for all their data.

  • IBM Db2 Warehouse on Cloud: A Fully Managed Data Warehouse in the Cloud

    Sponsored by: IBM

    This solution brief for IBM Db2 Warehouse on Cloud covers several of its benefits like elastic scaling on storage and compute, BLU Acceleration’s high-performance, high availability and resilience, built-AI, and multicloud deployments. It also shares use cases related to modernization, IoT, data marts, and data science.

  • IBM Db2 Warehouse on Cloud: A Fully Managed Data Warehouse in the Cloud

    Sponsored by: IBM

    This solution brief for IBM Db2 Warehouse on Cloud covers several of its benefits like elastic scaling on storage and compute, BLU Acceleration’s high-performance, high availability and resilience, built-AI, and multicloud deployments. It also shares use cases related to modernization, IoT, data marts, and data science.

  • Data Warehouse Modernization: From Monolith to Modular

    Sponsored by: Talend

    Access this e-book to learn why data warehouse modernization in the cloud is needed in today’s enterprises, discover the characteristics and benefits of the cloud-based data warehouse, and plan next steps for implementation with AWS and Talend Stitch Data Loader.

  • What Could You Do with an Elastic, Cloud-Based Data Warehouse?

    Sponsored by: IBM

    Across industries, organizations are moving more workloads to the cloud. Elasticity is a key reason for this shift. With the cloud, you can scale resources faster, and only pay for the resources you use. Check out this infographic to learn more.

  • What Could You Do with an Elastic, Cloud-Based Data Warehouse?

    Sponsored by: IBM

    Across industries, organizations are moving more workloads to the cloud. Elasticity is a key reason for this shift. With the cloud, you can scale resources faster, and only pay for the resources you use. Check out this infographic to learn more.

  • Modernizing Your Infrastructure in a Multi-cloud World

    Sponsored by: IBM

    During this webcast, you’ll hear directly from IBM executives and Netezza experts focusing on the improvements to your business that you can achieve by modernizing Netezza in a multicloud world, as well as the benefits of Cloud Pak for Data, a fully integrated data and AI platform.

  • Understand Your Players Better with Global-Scale Data and Analytics

    Sponsored by: Looker Google

    The explosion of free-to-play games has led to an explosion in new data, and some companies are struggling to turn this data into valuable consumer insight. Check out this Google white paper to learn how, by building the right data architecture and implementing new analytics, you can monetize your F2P game more efficiently than before.

  • The Challenges of Cloud Data Warehousing and How to Address Them

    Sponsored by: Talend

    Speakers in the following webinar dissect the benefits of cloud data warehousing as well as the challenges you may encounter along the way and how proper data integration can solve them. Tune in to get started and to learn how your company may benefit from a cloud data warehouse if you do not currently have one.

  • The Rise of the Cloud Data Lake Engine: Architecting for Real-Time Queries

    Sponsored by: Dremio

    As cloud data lakes have become more and more popular, a similar number of cloud data lake engine solutions have popped up around them. But what is a data lake engine? Check out this webinar featuring the Eckerson Group to learn about the rise of the cloud data lake engine and how it could benefit your company.

  • Ensuring an Open Data Lake Future

    Sponsored by: Dremio

    One of the advantages of building a data lake is that your organization has the potential to keep your basic data architecture the same, even as you switch BI and analytics tools around. Read on to learn how to avoid data lake vendor lock-in and ensure your data lake can serve your organization for years using its open architecture.

  • Building an Efficient Data Architecture for Maximum Productivity

    Sponsored by: Dremio

    Productivity is perhaps best understood as a combination of efficiency and effectiveness: doing the right things at a minimal cost. Watch this webinar to learn how you can use a cloud data lake to create a data architecture that is as productive as possible.

  • A Reference Architecture for Next-Generation Big Data and Analytics

    Sponsored by: Infor

    While Hadoop architectures are excellent at storing and processing data, business users often struggle with the complexity of the architecture. Read this white paper to learn how deploying a BI architecture to serve as a user-friendly interface for business analytics can gives your data infrastructure the speed and strength to support all users.

  • Optimize Your Cloud Data Lake Query Performance and Economics

    Sponsored by: Dremio

    Inefficient query workload management creates poor performance and slows down your cloud data lake. Watch this Dremio webinar to learn how you can optimize your data lake query performance and reduce wasteful spending in your cloud infrastructure.

  • How a Self-Service Semantic Layer for Your Data Lake Saves You Money

    Sponsored by: Dremio

    Building a data lake is a step in the right direction when modernizing data infrastructure, but it’s not the only step necessary towards making your big data sets useful. Watch this webinar to learn how to build a self-service semantic layer that lets your analysts and engineers manage their own projects without relying on IT—freeing them for more.

  • Cloud Data Warehousing With Amazon Redshift

    Sponsored by: Informatica

    Access this e-book to learn about Amazon Redshift, a powerful public cloud data warehouse that is well suited to support modern cloud analytics in the worlds of big data and IOT— and can aggregate insights from across your entire infrastructure.

  • Autonomous Data Warehouse On-Demand Labs

    Sponsored by: Oracle and Intel®

    Open this resource to gain access to 10 Autonomous Data Warehouse self-guided labs from Oracle which cover everything from getting started and provisioning to creating visualizations and using data integration tools.

  • Optimizing Snowflake

    Sponsored by: Matillion

    The Snowflake cloud data warehouse seems to offer a lot of competitive advantages for your business, but it can difficult to understand what benefits it offers, what differentiates it from competitors, and how your business should be using it. Read this e-book to gain an in-depth understanding of Snowflake and how your business should be using it.

  • Modernize Your Data Warehouse

    Sponsored by: Matillion

    Modernizing your data warehouse infrastructure is no easy task, as finding a database that’s scalable, secure, and accessible can be a challenge. Read this guide to see what considerations you should be making as you look to modernize your data warehouses and learn how you can deal with some of the problems that are common along this journey.

  • Optimizing Amazon Redshift

    Sponsored by: Matillion

    Amazon has stepped in and supplied a quality cloud data warehouse solution with Amazon Redshift, but businesses can still face challenges including difficulty querying data, loading data into Redshift inefficiently, and more. Read this e-book by Matillion to find out how to procure the most value from your Amazon Redshift data warehouse.

  • Optimizing Google BigQuery: A Real-World Guide

    Sponsored by: Matillion

    Optimizing your data warehouse should be one of your company’s top priorities. Read this e-Book to learn how to properly structure, query, and manage Google’s BigQuery data warehouse.

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