Which model should you use, and when?
Now more than ever, data is moving to the cloud, where data warehousing has been modernized and reinvented.
Find out how a cloud data warehouse in Azure has advantages in cost, time to value, and the ability to work with real-time data across the organization for analytics.
See how enterprises are overcoming barriers and delivering on the promise of their data, faster.
How do you balance rising demand for fast access to data against quality risks and security threats? With modern, secure, efficient data-to-analytics pipelines.
This e-book describes leading cloud data warehouses and their noteworthy differences and proven approaches that make them accessible, effective, and efficient for all data users.
In this e-book, you’ll discover the modern data integration approaches that allow you to leverage mainframe data for data warehouse automation, operations monitoring, modern app development and more.
In this e-book, you’ll learn how Qlik data integration and analytics solutions supercharge your SAP data in a trusted way that’s SAP certified.
How can you satisfy today’s real-time data requirements while keeping data traceable and governed?
Ready to deliver trusted data to your analytics platform in real time—and save millions of dollars in the process?
Take a deep dive into data warehouse automation (DWA) to know its history, drivers, and evolving capabilities.
Take a deep dive into cloud data lakes so you can make the best choice for your business.
Traditional, manual processes can’t meet today’s data demands—but modern, automated technology can.
Qlik Data Integration when used with cloud data warehouses can massively improve the productivity and ROI of your most critical analytics projects.
Read this whitepaper to learn how to create data lake value.
Download this report to learn about the benefits of external data, how an external data platform can fit into your data architecture, and how you can start leveraging external data today.
This paper highlights top priorities for AI and analytics initiatives in healthcare and life sciences and offers five proven strategies to make them successful.
In this e-book, data engineering and analytics decision makers will gain a better understanding of what it takes to enable consumable data at any scale.
Download this white paper to learn about what capabilities are available in the cloud, what organizations are looking for when moving to the cloud, and the challenges to be aware of during cloud analytics migrations.
Get the details in this IDC Snapshot.
IDC's 10 predictions representing expected trends with the greatest potential impact on deployment and use of data, content, and analytics technologies over the next few years.
Every year IDC identifies the key external drivers that will influence businesses in the coming years.
In this e-book, learn about the practice of non-invasive data governance and how you can create an active data governance program quickly and effectively with a data catalog.
This whitepaper discusses the benefits of using data virtualization to create data fabrics.
Automating 13 essential data validation checks will immediately engender trust in the cloud and lake.
This white paper describes the technical challenges that arise when building modern data pipelines and explains how these challenges can be solved by automating performance with near-zero maintenance.
This whitepaper explains what CloudOps and log analytics mean, why traditional pipelines for log analytics break down, and how to streamline or re-architect these pipelines.
This report helps data and analytics leaders plan ahead and make informed decisions relative to emerging and maturing data management technologies.
This Raconteur Future of Data report explores the opportunity for companies to craft their own data strategies.
A modern data management platform that can effectively incorporate unstructured data offers valuable advantages.
Read this white paper to learn how you can maximize the value of your data pipelines by using the right type of transformation method for each situation and workload.
This Deep Dive report by Eckerson Group takes a look at four cloud data platforms and defines the index-driven data lake platform in the context of evolving cloud data platforms
This whitepaper offers a path to estimate the true cost of building and maintaining a do-it-yourself production ELK stack.
Log management and analytics remains a dynamic field. Companies who value log data and invest in capturing data will harness insights that propel their businesses forward.
Affordable, direct access to the data that users and business processes really need has long remained an unchecked box—until now.
Download this white paper to learn how Actian Avalanche on Google Cloud Platform can improve outcomes for your organization.
This reference architecture e-book is designed for application builders looking to leverage the Actian portfolio and the Google Cloud Platform.
Read this white paper to learn how technologies such as columnar storage, massively parallel processing, and in-memory processing are allowing organizations to evolve past the limitations of the traditional database and data warehouse.
Should you invest in a data warehouse or a data lake?
The COVID-19 pandemic is certain to herald long-term changes to the demands placed on data analytics infrastructures.
The survey associated with this report focused on identifying the limiting factors slowing down the data supply chain as it relates to the overall DataOps methodology of the organization.
The goal of this report is to help organizations understand priority use cases and preferences for features/capabilities for analytics platforms.
So what makes a good API? The same thing that makes products outstanding – design.
Here are 11 best practices you can follow to help ensure a more successful, streamlined, and seamless data lake migration to the cloud.
Read this paper to explore cloud data warehouse options and understand the important factors you should consider when selecting technology.
Using Exasol as the database for Tableau can provide more speed, scale, and flexibility for your Tableau deployment.
Before you embark on your next data and analytics project, see if you can check these three things off your list.
Learn how a data lakehouse enables data engineers, data scientists, and other data users to share data, collaborate more effectively, and deliver more business value faster.