Data warehouse software

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Data warehouse software News

June 05, 2019 05 Jun'19
AtScale updates its data warehouse virtualization platform

AtScale 2019.1 comes with many new capabilities, including extended database support, increased security and advanced analytical query capabilities.
May 01, 2019 01 May'19
Snowflake CEO Bob Muglia replaced by former ServiceNow CEO

Frank Slootman, who led ServiceNow and Data Domain through successful IPOs, is the new chairman and CEO of cloud data warehouse vendor Snowflake, replacing former CEO Bob Muglia.
April 30, 2019 30 Apr'19
Snowflake CEO Bob Muglia talks cloud data warehouse evolution

In this Q&A, now-former Snowflake CEO Bob Muglia discusses the vendor's decision to embrace cloud data warehousing and how the industry is changing as more data moves to the cloud.
March 29, 2019 29 Mar'19
Google looks to poach workloads for its cloud data warehouse

Google Cloud wants to tap Teradata and Netezza's installed base with a new migration service for BigQuery. It may appeal most to new or smaller deployments.

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Data warehouse software Get Started

Bring yourself up to speed with our introductory content

data warehouse

A data warehouse is a federated repository for all the data collected by an enterprise's various operational systems, be they physical or logical. Continue Reading
data mart (datamart)

A data mart is a repository of data that is designed to serve a particular community of knowledge workers. Continue Reading
big data analytics

Big data analytics is the often complex process of examining large and varied data sets -- or big data -- to uncover information including hidden patterns, unknown correlations, market trends and customer preferences that can help organizations make... Continue Reading

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Evaluate Data warehouse software Vendors & Products

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

Cloud database comparison: AWS, Microsoft, Google and Oracle

IT expert Chris Foot evaluates the leading cloud databases from AWS, Google, Microsoft and Oracle based on their product offerings and migration capabilities. Continue Reading
The evolution of the data preparation process and market

Organizations have long struggled with inconsistent data and other issues. Expert Andy Hayler explores how that has led to the rise of the data preparation tools market. Continue Reading
Cloud data warehouse makes inroads as users spurn admin tasks

Overlooked in the run-up to Hadoop, data warehouses have found new life off premises. Cloud-based data warehouses find favor with teams that want to reduce warehouse administration. Continue Reading

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Manage Data warehouse software

Learn to apply best practices and optimize your operations.

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
How graph data modeling can help evaluate database tools

Mapping data to a graph model can be challenging, but these steps can help you create prototype applications -- which then can aid in evaluating graph databases. Continue Reading
Data analytics architecture must break down higher ed silos

Siloed data isn't only a problem for businesses. It's also a big issue for many large universities -- one that their data infrastructures need to resolve for effective analytics. Continue Reading

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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.

Why data silos matter: Settling ownership of data issues

Data ownership is still seen as a task for IT -- but that can lead to data silos full of redundant information. Find out why you should put the business in charge of its data. 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

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