TDWI White Paper Library
TDWI maintains this library of white papers as a resource for in-depth research and commentary about the big data, business intelligence, data warehousing, and analytics industry. The content in this repository is crafted by TDWI's software and consulting partners. To find out how your company can promote its content in this library, click here.
Some relational databases have undergone significant cloud-related development in their latest releases. Those will be the focus of this Sector Roadmap, along with the databases built native for the cloud.
Data has always been at the heart of the modern enterprise. For decades, though, most IT efforts have focused on data created by enterprise applications to support internal reporting and analysis.
Today, it’s clear that focusing on internal data for business insight has become dangerously inadequate.
You need a powerful, simple, and affordable data warehouse built for the cloud to store and analyze all your data in one location. In this e-book, we’ll detail key insights you can use to champion modern data warehouse technology within your organization, helping it become a data-driven enterprise.
This ESG Lab Review documents the recent analysis of Cloudera Navigator Optimizer with a goal of validating its ability to enable organizations to identify and offload SQL workloads from legacy data marts and costly enterprise data warehouses (EDWs) to a modern analytic database built on Hadoop, while optimizing existing workloads already on Hadoop.
Learn how Cloudera Enterprise provides a new kind of analytic database designed to tap into the full value of your data. As an adaptive, high-performance, analytic database, it opens up BI and exploratory analytics over more data—using the skills analysts already rely on—to derive instant value.
This guide contains the information you’ll need to understand and succeed with modern cloud data warehousing. It will start you on a path to transform your company’s data analytics with five key topics crucial to getting started.
If you want your business to be data-driven, you must first make an important decision about how to tap into your organization’s vast resources of raw data and how to turn this data into actionable business intelligence.