Data warehouse software

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Databases vs. Data Warehouses vs. Data Lakes vs. Data Marts

This cheat sheet will help you better understand how each repository differs based on the type, purpose and quality of data. Plus, you’ll get an introduction to the features of data catalog software, a user-friendly metadata management system.

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Data warehouse software News

September 25, 2019 25 Sep'19
Cloudera Data Platform gives big data users multi-cloud path

Cloudera released a big data platform combining its technologies and ones from Hortonworks, initially in the AWS cloud but with multi-cloud support to come.
August 20, 2019 20 Aug'19
Evergage launches Data Warehouse, a BI analytics product

Data Warehouse, Evergage's new BI analytics product, is designed to collect and analyze customer data in an effort to provide more information and analysis to business analysts.
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.

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Data warehouse software Get Started

Bring yourself up to speed with our introductory content

big data analytics

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

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Evaluate Data warehouse software Vendors & Products

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

Data warehouse vs. data lake vs. data mart: Beyond the RDBMS

There are many ways to store big data, but the choice of data warehouse vs. data lake vs. data mart comes down to who uses the data and how. Use this cheat sheet to compare. Continue Reading
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

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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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