New & Notable
Data warehouse software News
September 14, 2021
Snowflake launches its new Data Cloud offering as it continues to expand the range of applications and capabilities for its customers, including Western Union and Capital One.
August 31, 2021
Investors are super confident in the growth potential for cloud data management and analytics as the impact of the Snowflake IPO continues to ripple through the industry.
August 10, 2021
The open source Clickhouse OLAP database joins the Apache Kylin analytical data warehouse in a new update that provides a platform for different types of data queries.
June 24, 2021
Firebolt looks to grow in the cloud data warehouse market with a proprietary file format and a focus on enabling developers to build data-driven apps on top of cloud data lakes.
Data warehouse software Get Started
Bring yourself up to speed with our introductory content
Semantic technology is a set of methods and tools that provide advanced means for categorizing and processing data, as well as for discovering relationships within varied data sets. Continue Reading
Big data analytics is the often complex process of examining big data to uncover information -- such as hidden patterns, correlations, market trends and customer preferences -- that can help organizations make informed business decisions. Continue Reading
Extract, Load, Transform (ELT) is a data integration process for transferring raw data from a source server to a data system (such as a data warehouse or data lake) on a target server and then preparing the information for downstream uses. Continue Reading
Evaluate Data warehouse software Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
Learn the fine points of a concept at the heart of 'The Textual Warehouse' a new book that aims to help organizations profit through textual analysis. Continue Reading
Data warehouses and data lakes are both data repositories common in the enterprise, but what are the main differences between the two and which is best for your data? Continue Reading
There's still a place for data warehouses in data architectures. But first, ask whether your organization needs one and what type of technology platform is the best fit. Continue Reading
Manage Data warehouse software
Learn to apply best practices and optimize your operations.
On premises or in the cloud: What's the better place for your data lake? Here are some things to consider before deciding where to deploy a big data environment. Continue Reading
The need for high-speed analytics and low latency are pushing data warehousing vendors to create and reinvent their platforms and, in some cases, reinvent themselves. Continue Reading
Walgreens built a centralized data warehouse to give supply chain partners a better view into its data -- but analytics were slow. That's where a data staging tier came in. Continue Reading
Problem Solve Data warehouse software Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
Data management is often still seen as an IT task, but that can lead to data silos. Find out why the business should be in charge of its data as part of a governance process. Continue Reading
Fact tables and dimension tables are used together in star schemas to support data analytics applications. But they play different roles and hold different types of data. Continue Reading
Operational data stores and data warehouses both store operational data, but the similarities between them end there -- and they both have a role to play in analytics architectures. Continue Reading