Data warehouse software news, help and research

Data warehouse software News

September 14, 2021 14 Sep'21
Snowflake aims at financial services with data cloud

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 31 Aug'21
Databricks raises $1.6B more to boost data lakehouse

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 10 Aug'21
Kyligence 4.5 adds Clickhouse to Intelligent Data Cloud

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 24 Jun'21
Firebolt raises $127M to fuel cloud data warehouse efforts

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.

Bring yourself up to speed with our introductory content

semantic technology

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

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)

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

Weigh the pros and cons of technologies, products and projects you are considering.

Bill Inmon's data warehouse approach tackles text analysis

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 warehouse vs. data lake: Key differences

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
Evaluating data warehouse platform options and your need for one

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

Learn to apply best practices and optimize your operations.

Should you host your data lake in the cloud?

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
Data warehouse technologies evolve as vendors look skyward

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
How data staging helped Walgreens transform its supply chain

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

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

Why data silos matter: Settling ownership of data issues

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
Dimension tables vs. fact tables: What's the difference?

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 store vs. data warehouse: How do they differ?

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